* [DecoCMS v2.57.0](https://github.com/decocms/mesh) – Context management system that centralizes MCP connections, tools, and policies to compose governed AI apps and workflows.

* [VoltAgent @voltagent/server-el...](https://github.com/VoltAgent/voltagent) – TypeScript framework for building and orchestrating AI agents with modular components and standardized patterns.

* [mcp-use mcp-use@1.15.2-canar...](https://github.com/mcp-use/mcp-use) – Easily build MCP servers, clients and AI agents in Python and TypeScript with minimal code.

* [DecoCMS v2.56.1](https://github.com/decocms/mesh) – Context management system that centralizes MCP connections, tools, and policies to compose governed AI apps and workflows.

* [Cloud Run MCP server v1.8.0](https://github.com/GoogleCloudPlatform/cloud-run-mcp) – Enables AI agents, command-line tools, and IDE assistants to deploy applications to Cloud Run.

* [DecoCMS v2.54.0](https://github.com/decocms/mesh) – Context management system that centralizes MCP connections, tools, and policies to compose governed AI apps and workflows.

* [MCP PostgreSQL Operations Server 3.1.4](https://github.com/call518/MCP-PostgreSQL-Ops) – Professional MCP server for PostgreSQL database operations, monitoring, and performance analysis with version-adaptive features.

* [DecoCMS v2.53.0](https://github.com/decocms/mesh) – Context management system that centralizes MCP connections, tools, and policies to compose governed AI apps and workflows.

* [GitHub MCP Server v0.30.2](https://github.com/github/github-mcp-server) – Server for integrating GitHub APIs with advanced automation and interaction capabilities.

* [MCP PostgreSQL Operations Server 3.1.3](https://github.com/call518/MCP-PostgreSQL-Ops) – Professional MCP server for PostgreSQL database operations, monitoring, and performance analysis with version-adaptive features.

* [DecoCMS v2.52.0](https://github.com/decocms/mesh) – Context management system that centralizes MCP connections, tools, and policies to compose governed AI apps and workflows.

* [Maigret MCP Server v1.0.13](https://github.com/BurtTheCoder/mcp-maigret) – MCP server exposing username-search and URL-analysis tools for OSINT account discovery across social networks.

* [Obot v0.16.1](https://github.com/obot-platform/obot) – MCP Gateway and AI platform that provides LLM chat, server discovery, knowledge integration, and centralized administration for self-hosted or cloud deployments.

* [VoltAgent @voltagent/core@2.2....](https://github.com/VoltAgent/voltagent) – TypeScript framework for building and orchestrating AI agents with modular components and standardized patterns.

* [Zypher Agent agent/v0.9.1](https://github.com/corespeed-io/zypher-agent) – Production-ready AI agents that live in your applications.

* [mcp-use create-mcp-use-app@0...](https://github.com/mcp-use/mcp-use) – Easily build MCP servers, clients and AI agents in Python and TypeScript with minimal code.

* [Gram @gram-ai/functions@0...](https://github.com/speakeasy-api/gram) – Platform for creating, curating, and hosting MCP servers with a TypeScript SDK, OpenAPI support, and tools to build agent-accessible toolsets.

* [mcp-use mcp-use@1.15.0-canar...](https://github.com/mcp-use/mcp-use) – Easily build MCP servers, clients and AI agents in Python and TypeScript with minimal code.

* [mcp-use mcp-use@1.15.0-canar...](https://github.com/mcp-use/mcp-use) – Easily build MCP servers, clients and AI agents in Python and TypeScript with minimal code.

* [Gram @gram-ai/create-func...](https://github.com/speakeasy-api/gram) – Platform for creating, curating, and hosting MCP servers with a TypeScript SDK, OpenAPI support, and tools to build agent-accessible toolsets.

* [Zypher Agent agui/v0.3.0](https://github.com/corespeed-io/zypher-agent) – Production-ready AI agents that live in your applications.

* [Playwright MCP v0.0.61](https://github.com/microsoft/playwright-mcp) – Model Context Protocol server enabling LLMs to interact with web pages through structured accessibility snapshots using Playwright.

* [DecoCMS v2.51.5](https://github.com/decocms/mesh) – Context management system that centralizes MCP connections, tools, and policies to compose governed AI apps and workflows.

* [mcp-use create-mcp-use-app@0...](https://github.com/mcp-use/mcp-use) – Easily build MCP servers, clients and AI agents in Python and TypeScript with minimal code.

* [xmcp v0.6.1](https://github.com/basementstudio/xmcp) – TypeScript framework for building and deploying applications on the Model Context Protocol ecosystem.

* [mcp-use mcp-use@1.15.0-canar...](https://github.com/mcp-use/mcp-use) – Easily build MCP servers, clients and AI agents in Python and TypeScript with minimal code.

* [DecoCMS v2.51.4](https://github.com/decocms/mesh) – Context management system that centralizes MCP connections, tools, and policies to compose governed AI apps and workflows.

* [Playwright MCP v0.0.60](https://github.com/microsoft/playwright-mcp) – Model Context Protocol server enabling LLMs to interact with web pages through structured accessibility snapshots using Playwright.

* [GitHub MCP Server v0.30.1](https://github.com/github/github-mcp-server) – Server for integrating GitHub APIs with advanced automation and interaction capabilities.

* [archestra platform-v1.0.34](https://github.com/archestra-ai/archestra) – MCP-native centralized platform for orchestrating, securing, and observing MCP servers with private registry and cost controls.

* [GitHub MCP Server v0.30.0](https://github.com/github/github-mcp-server) – Server for integrating GitHub APIs with advanced automation and interaction capabilities.

* [DecoCMS v2.51.3](https://github.com/decocms/mesh) – Context management system that centralizes MCP connections, tools, and policies to compose governed AI apps and workflows.

* [DecoCMS v2.51.2](https://github.com/decocms/mesh) – Context management system that centralizes MCP connections, tools, and policies to compose governed AI apps and workflows.

* [Super-Agent-Party v0.3.7](https://github.com/heshengtao/super-agent-party) – 3D AI desktop companion platform with modular LLM enhancements, multi-terminal deployment, and cross-platform compatibility.

* [Gram @gram-ai/elements@1....](https://github.com/speakeasy-api/gram) – Platform for creating, curating, and hosting MCP servers with a TypeScript SDK, OpenAPI support, and tools to build agent-accessible toolsets.

* [Awesome Slash Commands v3.1.0](https://github.com/avifenesh/awesome-slash) – Professional-grade, zero-configuration slash commands that automate development workflows across multiple AI coding assistants.

* [mcp-ui client/v6.0.0](https://github.com/MCP-UI-Org/mcp-ui) – SDK providing interactive web components and UI resources for the Model Context Protocol.

* [DecoCMS v2.50.0](https://github.com/decocms/mesh) – Context management system that centralizes MCP connections, tools, and policies to compose governed AI apps and workflows.

* [Agent Registry v0.1.13](https://github.com/agentregistry-dev/agentregistry) – Centralized registry for curating, discovering, deploying, and managing agentic AI artifacts and infrastructure.

* [DecoCMS bindings-v1.1.3](https://github.com/decocms/mesh) – Context management system that centralizes MCP connections, tools, and policies to compose governed AI apps and workflows.

* [Playwright MCP v0.0.59](https://github.com/microsoft/playwright-mcp) – Model Context Protocol server enabling LLMs to interact with web pages through structured accessibility snapshots using Playwright.

* [FastMCP v3.30.0](https://github.com/punkpeye/fastmcp) – TypeScript framework for building MCP servers that manage client sessions.

* [DecoCMS v2.49.0](https://github.com/decocms/mesh) – Context management system that centralizes MCP connections, tools, and policies to compose governed AI apps and workflows.

* [DecoCMS v2.48.0](https://github.com/decocms/mesh) – Context management system that centralizes MCP connections, tools, and policies to compose governed AI apps and workflows.

* [DecoCMS v2.47.0](https://github.com/decocms/mesh) – Context management system that centralizes MCP connections, tools, and policies to compose governed AI apps and workflows.

* [PAIML MCP Agent Toolkit (pmat) v2.214.0](https://github.com/paiml/paiml-mcp-agent-toolkit) – Zero-configuration AI context generation system with quality enforcement and multi-language codebase analysis.

* [Dexto @dexto/client-sdk@1....](https://github.com/truffle-ai/dexto) – Universal intelligence layer that orchestrates LLMs, tools, and data to build stateful, multimodal agentic applications.

* [DecoCMS v2.46.0](https://github.com/decocms/mesh) – Context management system that centralizes MCP connections, tools, and policies to compose governed AI apps and workflows.

* [Zypher Agent agent/v0.9.0](https://github.com/corespeed-io/zypher-agent) – Production-ready AI agents that live in your applications.

* [DecoCMS v2.45.0](https://github.com/decocms/mesh) – Context management system that centralizes MCP connections, tools, and policies to compose governed AI apps and workflows.

* [VoltAgent @voltagent/core@2.2....](https://github.com/VoltAgent/voltagent) – TypeScript framework for building and orchestrating AI agents with modular components and standardized patterns.

* [DecoCMS v2.44.3](https://github.com/decocms/mesh) – Context management system that centralizes MCP connections, tools, and policies to compose governed AI apps and workflows.

* [DecoCMS v2.44.2](https://github.com/decocms/mesh) – Context management system that centralizes MCP connections, tools, and policies to compose governed AI apps and workflows.

* [DecoCMS v2.44.1](https://github.com/decocms/mesh) – Context management system that centralizes MCP connections, tools, and policies to compose governed AI apps and workflows.

* [DecoCMS v2.44.0](https://github.com/decocms/mesh) – Context management system that centralizes MCP connections, tools, and policies to compose governed AI apps and workflows.

* [DecoCMS v2.43.2](https://github.com/decocms/mesh) – Context management system that centralizes MCP connections, tools, and policies to compose governed AI apps and workflows.

* [DecoCMS mesh-sdk-v1.2.1](https://github.com/decocms/mesh) – Context management system that centralizes MCP connections, tools, and policies to compose governed AI apps and workflows.

* [DecoCMS mesh-sdk-v1.2.0](https://github.com/decocms/mesh) – Context management system that centralizes MCP connections, tools, and policies to compose governed AI apps and workflows.

* [Awesome Slash Commands v3.0.2](https://github.com/avifenesh/awesome-slash) – Professional-grade, zero-configuration slash commands that automate development workflows across multiple AI coding assistants.

* [PAIML MCP Agent Toolkit (pmat) v2.213.17](https://github.com/paiml/paiml-mcp-agent-toolkit) – Zero-configuration AI context generation system with quality enforcement and multi-language codebase analysis.

* [ActionMCP action_mcp/v0.104.1](https://github.com/seuros/action_mcp) – Ruby gem providing Model Context Protocol server support for Rails applications with network-based deployments.

* [PAIML MCP Agent Toolkit (pmat) v2.213.16](https://github.com/paiml/paiml-mcp-agent-toolkit) – Zero-configuration AI context generation system with quality enforcement and multi-language codebase analysis.

* [DecoCMS mesh-sdk-v1.1.0](https://github.com/decocms/mesh) – Context management system that centralizes MCP connections, tools, and policies to compose governed AI apps and workflows.

* [DecoCMS v2.41.0](https://github.com/decocms/mesh) – Context management system that centralizes MCP connections, tools, and policies to compose governed AI apps and workflows.

* [Awesome Slash Commands v3.0.0](https://github.com/avifenesh/awesome-slash) – Professional-grade, zero-configuration slash commands that automate development workflows across multiple AI coding assistants.

* [1MCP v0.29.0](https://github.com/1mcp-app/agent) – Unified Model Context Protocol server that aggregates multiple MCP servers into a single endpoint.

* [DecoCMS v2.40.2](https://github.com/decocms/mesh) – Context management system that centralizes MCP connections, tools, and policies to compose governed AI apps and workflows.

* [Screencap v1.18.0](https://github.com/yahorbarkouski/screencap) – macOS app that captures scheduled background and foreground screenshots and converts them into timelines, daily summaries, project milestones, and addiction tracking with optional end-to-end encrypted social sharing.

* [DecoCMS v2.40.1](https://github.com/decocms/mesh) – Context management system that centralizes MCP connections, tools, and policies to compose governed AI apps and workflows.

* [Awesome Slash Commands v2.10.1](https://github.com/avifenesh/awesome-slash) – Professional-grade, zero-configuration slash commands that automate development workflows across multiple AI coding assistants.

* [DecoCMS v2.40.0](https://github.com/decocms/mesh) – Context management system that centralizes MCP connections, tools, and policies to compose governed AI apps and workflows.

* [DecoCMS v2.39.0](https://github.com/decocms/mesh) – Context management system that centralizes MCP connections, tools, and policies to compose governed AI apps and workflows.

* [Playwright MCP v0.0.58](https://github.com/microsoft/playwright-mcp) – Model Context Protocol server enabling LLMs to interact with web pages through structured accessibility snapshots using Playwright.

* [Gram server@0.20.0](https://github.com/speakeasy-api/gram) – Platform for creating, curating, and hosting MCP servers with a TypeScript SDK, OpenAPI support, and tools to build agent-accessible toolsets.

* [Playwright MCP v0.0.57](https://github.com/microsoft/playwright-mcp) – Model Context Protocol server enabling LLMs to interact with web pages through structured accessibility snapshots using Playwright.

* [VoltAgent @voltagent/core@2.2....](https://github.com/VoltAgent/voltagent) – TypeScript framework for building and orchestrating AI agents with modular components and standardized patterns.

* [DecoCMS v2.38.6](https://github.com/decocms/mesh) – Context management system that centralizes MCP connections, tools, and policies to compose governed AI apps and workflows.

* [DecoCMS v2.38.5](https://github.com/decocms/mesh) – Context management system that centralizes MCP connections, tools, and policies to compose governed AI apps and workflows.

* [Awesome Slash Commands v2.9.1](https://github.com/avifenesh/awesome-slash) – Professional-grade, zero-configuration slash commands that automate development workflows across multiple AI coding assistants.

* [Awesome Slash Commands v2.9.0](https://github.com/avifenesh/awesome-slash) – Professional-grade, zero-configuration slash commands that automate development workflows across multiple AI coding assistants.

* [DecoCMS v2.38.4](https://github.com/decocms/mesh) – Context management system that centralizes MCP connections, tools, and policies to compose governed AI apps and workflows.

* [ToolHive toolhive-operator-cr...](https://github.com/stacklok/toolhive) – Simplifies secure deployment and management of Model Context Protocol servers in isolated containers.

* [DecoCMS v2.38.3](https://github.com/decocms/mesh) – Context management system that centralizes MCP connections, tools, and policies to compose governed AI apps and workflows.

* [Agent Registry v0.1.12](https://github.com/agentregistry-dev/agentregistry) – Centralized registry for curating, discovering, deploying, and managing agentic AI artifacts and infrastructure.

* [Awesome Slash Commands v2.8.3](https://github.com/avifenesh/awesome-slash) – Professional-grade, zero-configuration slash commands that automate development workflows across multiple AI coding assistants.

* [DecoCMS runtime-v1.2.4](https://github.com/decocms/mesh) – Context management system that centralizes MCP connections, tools, and policies to compose governed AI apps and workflows.

* [DecoCMS v2.38.2](https://github.com/decocms/mesh) – Context management system that centralizes MCP connections, tools, and policies to compose governed AI apps and workflows.

* [Awesome Slash Commands v2.8.1](https://github.com/avifenesh/awesome-slash) – Professional-grade, zero-configuration slash commands that automate development workflows across multiple AI coding assistants.

* [Awesome Slash Commands v2.8.0](https://github.com/avifenesh/awesome-slash) – Professional-grade, zero-configuration slash commands that automate development workflows across multiple AI coding assistants.

* [Bifrost helm-chart-v1.6.0](https://github.com/maximhq/bifrost) – High-performance AI gateway offering multi-provider access with automatic failover, load balancing, and zero-downtime deployments.

* [DecoCMS v2.38.1](https://github.com/decocms/mesh) – Context management system that centralizes MCP connections, tools, and policies to compose governed AI apps and workflows.

* [DecoCMS v2.37.0](https://github.com/decocms/mesh) – Context management system that centralizes MCP connections, tools, and policies to compose governed AI apps and workflows.

* [Dexto @dexto/core@1.5.5](https://github.com/truffle-ai/dexto) – Universal intelligence layer that orchestrates LLMs, tools, and data to build stateful, multimodal agentic applications.

* [UnicomAI/wanwu v0.3.6](https://github.com/UnicomAI/wanwu) – Enterprise-grade multi-tenant platform for developing large model applications including intelligent agents, workflows, and text Q&A with model management.

* [MCP CAN v1.9.0](https://github.com/Kymo-MCP/mcpcan) – Centralized Kubernetes-based platform for containerized MCP service lifecycle management, offering protocol conversion, real-time monitoring, security authentication, and one-stop deployment.

* [DecoCMS v2.35.0](https://github.com/decocms/mesh) – Context management system that centralizes MCP connections, tools, and policies to compose governed AI apps and workflows.

* [DecoCMS v2.34.0](https://github.com/decocms/mesh) – Context management system that centralizes MCP connections, tools, and policies to compose governed AI apps and workflows.

* [MCP Toolbox for Databases v0.26.0](https://github.com/googleapis/genai-toolbox) – Toolbox simplifies database interactions for AI tools, enhancing development speed and security.

* [DecoCMS v2.32.0](https://github.com/decocms/mesh) – Context management system that centralizes MCP connections, tools, and policies to compose governed AI apps and workflows.

* [archestra platform-v1.0.33](https://github.com/archestra-ai/archestra) – MCP-native centralized platform for orchestrating, securing, and observing MCP servers with private registry and cost controls.

* [DecoCMS v2.31.1](https://github.com/decocms/mesh) – Context management system that centralizes MCP connections, tools, and policies to compose governed AI apps and workflows.

* [DecoCMS v2.29.3](https://github.com/decocms/mesh) – Context management system that centralizes MCP connections, tools, and policies to compose governed AI apps and workflows.

* [DecoCMS v2.29.1](https://github.com/decocms/mesh) – Context management system that centralizes MCP connections, tools, and policies to compose governed AI apps and workflows.

* [Awesome Slash Commands v2.7.1](https://github.com/avifenesh/awesome-slash) – Professional-grade, zero-configuration slash commands that automate development workflows across multiple AI coding assistants.

* [PAIML MCP Agent Toolkit (pmat) v2.213.15](https://github.com/paiml/paiml-mcp-agent-toolkit) – Zero-configuration AI context generation system with quality enforcement and multi-language codebase analysis.

* [Gram cli@0.15.4](https://github.com/speakeasy-api/gram) – Platform for creating, curating, and hosting MCP servers with a TypeScript SDK, OpenAPI support, and tools to build agent-accessible toolsets.

* [Awesome Slash Commands v2.7.0](https://github.com/avifenesh/awesome-slash) – Professional-grade, zero-configuration slash commands that automate development workflows across multiple AI coding assistants.

* [1MCP v0.29.0-beta7](https://github.com/1mcp-app/agent) – Unified Model Context Protocol server that aggregates multiple MCP servers into a single endpoint.

* [DecoCMS v2.28.1](https://github.com/decocms/mesh) – Context management system that centralizes MCP connections, tools, and policies to compose governed AI apps and workflows.

* [mcp-use python-v1.6.0](https://github.com/mcp-use/mcp-use) – Easily build MCP servers, clients and AI agents in Python and TypeScript with minimal code.

* [mcp-use mcp-use@1.14.2-canar...](https://github.com/mcp-use/mcp-use) – Easily build MCP servers, clients and AI agents in Python and TypeScript with minimal code.

* [mcp-use mcp-use@1.14.2-canar...](https://github.com/mcp-use/mcp-use) – Easily build MCP servers, clients and AI agents in Python and TypeScript with minimal code.

* [mcp-use mcp-use@1.14.2-canar...](https://github.com/mcp-use/mcp-use) – Easily build MCP servers, clients and AI agents in Python and TypeScript with minimal code.

* [Glean v0.2.5-alpha.4](https://github.com/LeslieLeung/glean) – Self-hosted RSS reader and personal knowledge management tool for organizing and reading articles.

* [Glean v0.2.5-alpha.3](https://github.com/LeslieLeung/glean) – Self-hosted RSS reader and personal knowledge management tool for organizing and reading articles.

* [Gram dashboard@0.26.15](https://github.com/speakeasy-api/gram) – Platform for creating, curating, and hosting MCP servers with a TypeScript SDK, OpenAPI support, and tools to build agent-accessible toolsets.

* [Obot v0.16.0](https://github.com/obot-platform/obot) – MCP Gateway and AI platform that provides LLM chat, server discovery, knowledge integration, and centralized administration for self-hosted or cloud deployments.

* [Zypher Agent http/v0.3.0](https://github.com/corespeed-io/zypher-agent) – Production-ready AI agents that live in your applications.

* [DecoCMS v2.27.1](https://github.com/decocms/mesh) – Context management system that centralizes MCP connections, tools, and policies to compose governed AI apps and workflows.

* [DecoCMS runtime-v1.2.1](https://github.com/decocms/mesh) – Context management system that centralizes MCP connections, tools, and policies to compose governed AI apps and workflows.

* [mcp-use create-mcp-use-app@0...](https://github.com/mcp-use/mcp-use) – Easily build MCP servers, clients and AI agents in Python and TypeScript with minimal code.

* [PAIML MCP Agent Toolkit (pmat) v2.213.14](https://github.com/paiml/paiml-mcp-agent-toolkit) – Zero-configuration AI context generation system with quality enforcement and multi-language codebase analysis.

* [Activepieces 0.77.6](https://github.com/activepieces/activepieces) – Extensible AI automation platform with a type-safe TypeScript framework and over 280 integrations for workflow building.

* [PAIML MCP Agent Toolkit (pmat) v2.213.13](https://github.com/paiml/paiml-mcp-agent-toolkit) – Zero-configuration AI context generation system with quality enforcement and multi-language codebase analysis.

* [mcp-use mcp-use@1.14.1-canar...](https://github.com/mcp-use/mcp-use) – Easily build MCP servers, clients and AI agents in Python and TypeScript with minimal code.

* [DecoCMS v2.27.0](https://github.com/decocms/mesh) – Context management system that centralizes MCP connections, tools, and policies to compose governed AI apps and workflows.

* [DecoCMS v2.24.0](https://github.com/decocms/mesh) – Context management system that centralizes MCP connections, tools, and policies to compose governed AI apps and workflows.

* [Activepieces 0.77.5](https://github.com/activepieces/activepieces) – Extensible AI automation platform with a type-safe TypeScript framework and over 280 integrations for workflow building.

* [mcp-use mcp-use@1.14.0-canar...](https://github.com/mcp-use/mcp-use) – Easily build MCP servers, clients and AI agents in Python and TypeScript with minimal code.

* [Apify MCP Server v0.7.4](https://github.com/apify/apify-mcp-server) – Enables AI agents to run Apify Actors as tools to extract web data using ready-made scrapers, crawlers, and automation.

* [mcp-use mcp-use@1.14.0-canar...](https://github.com/mcp-use/mcp-use) – Easily build MCP servers, clients and AI agents in Python and TypeScript with minimal code.

* [MCPJungle 0.3.2](https://github.com/mcpjungle/MCPJungle) – Centralized registry and gateway for managing and accessing Model Context Protocol servers within organizations.

* [VoltAgent @voltagent/serverles...](https://github.com/VoltAgent/voltagent) – TypeScript framework for building and orchestrating AI agents with modular components and standardized patterns.

* [Gram server@0.18.5](https://github.com/speakeasy-api/gram) – Platform for creating, curating, and hosting MCP servers with a TypeScript SDK, OpenAPI support, and tools to build agent-accessible toolsets.

* [DecoCMS bindings-v1.0.9](https://github.com/decocms/mesh) – Context management system that centralizes MCP connections, tools, and policies to compose governed AI apps and workflows.

* [Awesome Slash Commands v2.6.1](https://github.com/avifenesh/awesome-slash) – Professional-grade, zero-configuration slash commands that automate development workflows across multiple AI coding assistants.

* [Awesome Slash Commands v2.6.0](https://github.com/avifenesh/awesome-slash) – Professional-grade, zero-configuration slash commands that automate development workflows across multiple AI coding assistants.

* [Ultracite ultracite@7.0.12](https://github.com/haydenbleasel/ultracite) – Highly opinionated, zero-configuration linter and formatter.

* [Dexto @dexto/tools-filesys...](https://github.com/truffle-ai/dexto) – Universal intelligence layer that orchestrates LLMs, tools, and data to build stateful, multimodal agentic applications.

* [DecoCMS v2.22.2](https://github.com/decocms/mesh) – Context management system that centralizes MCP connections, tools, and policies to compose governed AI apps and workflows.

* [mcp-use mcp-use@1.14.0-canar...](https://github.com/mcp-use/mcp-use) – Easily build MCP servers, clients and AI agents in Python and TypeScript with minimal code.

* [mcp-use mcp-use@1.14.0-canar...](https://github.com/mcp-use/mcp-use) – Easily build MCP servers, clients and AI agents in Python and TypeScript with minimal code.

* [DecoCMS v2.22.1](https://github.com/decocms/mesh) – Context management system that centralizes MCP connections, tools, and policies to compose governed AI apps and workflows.

* [mcp-use mcp-use@1.14.0-canar...](https://github.com/mcp-use/mcp-use) – Easily build MCP servers, clients and AI agents in Python and TypeScript with minimal code.

* [DecoCMS v2.20.5](https://github.com/decocms/mesh) – Context management system that centralizes MCP connections, tools, and policies to compose governed AI apps and workflows.

* [mcp-use mcp-use@1.14.0-canar...](https://github.com/mcp-use/mcp-use) – Easily build MCP servers, clients and AI agents in Python and TypeScript with minimal code.

* [mcp-use mcp-use@1.14.0-canar...](https://github.com/mcp-use/mcp-use) – Easily build MCP servers, clients and AI agents in Python and TypeScript with minimal code.

* [VoltAgent @voltagent/core@2.1....](https://github.com/VoltAgent/voltagent) – TypeScript framework for building and orchestrating AI agents with modular components and standardized patterns.

* [MCP Gateway & Registry v1.0.12](https://github.com/agentic-community/mcp-gateway-registry) – Enterprise-ready platform centralizing secure access and management of AI development tools via the Model Context Protocol.

* [DecoCMS v2.20.4](https://github.com/decocms/mesh) – Context management system that centralizes MCP connections, tools, and policies to compose governed AI apps and workflows.

* [VoltAgent @voltagent/core@2.1....](https://github.com/VoltAgent/voltagent) – TypeScript framework for building and orchestrating AI agents with modular components and standardized patterns.

* [VoltAgent @voltagent/internal@...](https://github.com/VoltAgent/voltagent) – TypeScript framework for building and orchestrating AI agents with modular components and standardized patterns.

* [Awesome Slash Commands v2.5.1](https://github.com/avifenesh/awesome-slash) – Professional-grade, zero-configuration slash commands that automate development workflows across multiple AI coding assistants.

* [GitHub MCP Server v0.29.0](https://github.com/github/github-mcp-server) – Server for integrating GitHub APIs with advanced automation and interaction capabilities.

* [Activepieces 0.77.4](https://github.com/activepieces/activepieces) – Extensible AI automation platform with a type-safe TypeScript framework and over 280 integrations for workflow building.

* [Dexto @dexto/agent-managem...](https://github.com/truffle-ai/dexto) – Universal intelligence layer that orchestrates LLMs, tools, and data to build stateful, multimodal agentic applications.

* [Zypher Agent agent/v0.8.1](https://github.com/corespeed-io/zypher-agent) – Production-ready AI agents that live in your applications.

* [Awesome Slash Commands v2.5.0](https://github.com/avifenesh/awesome-slash) – Professional-grade, zero-configuration slash commands that automate development workflows across multiple AI coding assistants.

* [FastMCP v3.27.0](https://github.com/punkpeye/fastmcp) – TypeScript framework for building MCP servers that manage client sessions.

* [archestra platform-v1.0.27](https://github.com/archestra-ai/archestra) – MCP-native centralized platform for orchestrating, securing, and observing MCP servers with private registry and cost controls.

* [FastMCP v3.26.10](https://github.com/punkpeye/fastmcp) – TypeScript framework for building MCP servers that manage client sessions.

* [MCP 0.1.9](https://github.com/cso1z/Feishu-MCP) – Model Context Protocol server enabling AI tools to access, edit, and structure Feishu documents.

* [MCPProxy v0.15.1](https://github.com/smart-mcp-proxy/mcpproxy-go) – Desktop proxy enabling scalable tool discovery, major token savings, and quarantine of malicious upstream servers for AI agents.

* [1MCP v0.29.0-beta6](https://github.com/1mcp-app/agent) – Unified Model Context Protocol server that aggregates multiple MCP servers into a single endpoint.

* [@emqx-ai/mcp-mqtt-sdk v0.2.6](https://github.com/emqx/mcp-typescript-sdk) – TypeScript SDK implementing Model Context Protocol over MQTT for browser and Node.js, with full type safety and automatic environment detection.

* [The Web MCP v2.8.3](https://github.com/brightdata/brightdata-mcp) – MCP-based server that provides LLMs real-time, unblocked access to live web data and browser automation.

* [Docfork MCP v1.4.0](https://github.com/docfork/docfork) – Fetches and serves live-synced, version-accurate documentation to prevent AI hallucinations and context bloat.

* [DeployStack satellite-v0.18.0](https://github.com/deploystackio/deploystack) – Centralized MCP server management, credential vault, governance, and token optimization for developers and enterprises.

* [DecoCMS v2.20.1](https://github.com/decocms/mesh) – Context management system that centralizes MCP connections, tools, and policies to compose governed AI apps and workflows.

* [mcp-use mcp-use@1.13.5-canar...](https://github.com/mcp-use/mcp-use) – Easily build MCP servers, clients and AI agents in Python and TypeScript with minimal code.

* [Zypher Agent cli/v0.2.0](https://github.com/corespeed-io/zypher-agent) – Production-ready AI agents that live in your applications.

* [xiaohongshu-mcp v2026.01.17.0408-e46...](https://github.com/xpzouying/xiaohongshu-mcp) – MCP tool for managing content on xiaohongshu.com.

* [Zypher Agent utils/v0.1.0](https://github.com/corespeed-io/zypher-agent) – Production-ready AI agents that live in your applications.

* [VoltAgent @voltagent/core@2.1....](https://github.com/VoltAgent/voltagent) – TypeScript framework for building and orchestrating AI agents with modular components and standardized patterns.

* [VoltAgent @voltagent/core@2.1....](https://github.com/VoltAgent/voltagent) – TypeScript framework for building and orchestrating AI agents with modular components and standardized patterns.

* [Gram @gram-ai/elements@1....](https://github.com/speakeasy-api/gram) – Platform for creating, curating, and hosting MCP servers with a TypeScript SDK, OpenAPI support, and tools to build agent-accessible toolsets.

* [Glean v0.2.4](https://github.com/LeslieLeung/glean) – Self-hosted RSS reader and personal knowledge management tool for organizing and reading articles.

* [Cloud Run MCP server v1.7.0](https://github.com/GoogleCloudPlatform/cloud-run-mcp) – Enables AI agents, command-line tools, and IDE assistants to deploy applications to Cloud Run.

* [Dexto @dexto/tools-filesys...](https://github.com/truffle-ai/dexto) – Universal intelligence layer that orchestrates LLMs, tools, and data to build stateful, multimodal agentic applications.

* [Playwright MCP v0.0.56](https://github.com/microsoft/playwright-mcp) – Model Context Protocol server enabling LLMs to interact with web pages through structured accessibility snapshots using Playwright.

* [DecoCMS v2.20.0](https://github.com/decocms/mesh) – Context management system that centralizes MCP connections, tools, and policies to compose governed AI apps and workflows.

* [DecoCMS v2.19.0](https://github.com/decocms/mesh) – Context management system that centralizes MCP connections, tools, and policies to compose governed AI apps and workflows.

* [archestra platform-v1.0.26](https://github.com/archestra-ai/archestra) – MCP-native centralized platform for orchestrating, securing, and observing MCP servers with private registry and cost controls.

* [xmcp v0.6.0](https://github.com/basementstudio/xmcp) – TypeScript framework for building and deploying applications on the Model Context Protocol ecosystem.

* [mcp-use mcp-use@1.13.4-canar...](https://github.com/mcp-use/mcp-use) – Easily build MCP servers, clients and AI agents in Python and TypeScript with minimal code.

* [DecoCMS v2.18.0](https://github.com/decocms/mesh) – Context management system that centralizes MCP connections, tools, and policies to compose governed AI apps and workflows.

* [DecoCMS v2.17.2](https://github.com/decocms/mesh) – Context management system that centralizes MCP connections, tools, and policies to compose governed AI apps and workflows.

* [mcp-use mcp-use@1.13.3-canar...](https://github.com/mcp-use/mcp-use) – Easily build MCP servers, clients and AI agents in Python and TypeScript with minimal code.

* [Screencap v1.17.1](https://github.com/yahorbarkouski/screencap) – macOS app that captures scheduled background and foreground screenshots and converts them into timelines, daily summaries, project milestones, and addiction tracking with optional end-to-end encrypted social sharing.

* [UnicomAI/wanwu v0.3.5](https://github.com/UnicomAI/wanwu) – Enterprise-grade multi-tenant platform for developing large model applications including intelligent agents, workflows, and text Q&A with model management.

* [mcp-use create-mcp-use-app@0...](https://github.com/mcp-use/mcp-use) – Easily build MCP servers, clients and AI agents in Python and TypeScript with minimal code.

* [VoltAgent @voltagent/core@2.1....](https://github.com/VoltAgent/voltagent) – TypeScript framework for building and orchestrating AI agents with modular components and standardized patterns.

* [VoltAgent @voltagent/scorers@2...](https://github.com/VoltAgent/voltagent) – TypeScript framework for building and orchestrating AI agents with modular components and standardized patterns.

* [DecoCMS v2.17.0](https://github.com/decocms/mesh) – Context management system that centralizes MCP connections, tools, and policies to compose governed AI apps and workflows.

* [Bifrost plugins/telemetry/v1...](https://github.com/maximhq/bifrost) – High-performance AI gateway offering multi-provider access with automatic failover, load balancing, and zero-downtime deployments.

* [Screencap v1.17.0](https://github.com/yahorbarkouski/screencap) – macOS app that captures scheduled background and foreground screenshots and converts them into timelines, daily summaries, project milestones, and addiction tracking with optional end-to-end encrypted social sharing.

* [xmcp v0.5.9](https://github.com/basementstudio/xmcp) – TypeScript framework for building and deploying applications on the Model Context Protocol ecosystem.

* [ToolHive toolhive-operator-0....](https://github.com/stacklok/toolhive) – Simplifies secure deployment and management of Model Context Protocol servers in isolated containers.

* [VoltAgent @voltagent/core@2.0....](https://github.com/VoltAgent/voltagent) – TypeScript framework for building and orchestrating AI agents with modular components and standardized patterns.

* [MCP OpenAPI Schema Explorer v1.3.3](https://github.com/kadykov/mcp-openapi-schema-explorer) – MCP server providing token-efficient access to OpenAPI and Swagger specifications via MCP Resources for client-side exploration.

* [The Web MCP v2.8.1](https://github.com/brightdata/brightdata-mcp) – MCP-based server that provides LLMs real-time, unblocked access to live web data and browser automation.

* [xmcp v0.5.8](https://github.com/basementstudio/xmcp) – TypeScript framework for building and deploying applications on the Model Context Protocol ecosystem.

* [DecoCMS v2.16.0](https://github.com/decocms/mesh) – Context management system that centralizes MCP connections, tools, and policies to compose governed AI apps and workflows.

* [Apify MCP Server v0.7.1](https://github.com/apify/apify-mcp-server) – Enables AI agents to run Apify Actors as tools to extract web data using ready-made scrapers, crawlers, and automation.

* [Dexto @dexto/image-bundler...](https://github.com/truffle-ai/dexto) – Universal intelligence layer that orchestrates LLMs, tools, and data to build stateful, multimodal agentic applications.

* [DecoCMS v2.15.1](https://github.com/decocms/mesh) – Context management system that centralizes MCP connections, tools, and policies to compose governed AI apps and workflows.

* [Apify MCP Server v0.7.0](https://github.com/apify/apify-mcp-server) – Enables AI agents to run Apify Actors as tools to extract web data using ready-made scrapers, crawlers, and automation.

* [MongoDB MCP Server v1.5.0](https://github.com/mongodb-js/mongodb-mcp-server) – Model Context Protocol server for interacting with MongoDB databases and Atlas.

* [Coolify MCP Server v2.5.0](https://github.com/StuMason/coolify-mcp) – MCP server enabling AI assistants to manage, debug, and batch-operate Coolify instances via token-optimized tools.

* [Screencap v1.16.0](https://github.com/yahorbarkouski/screencap) – macOS app that captures scheduled background and foreground screenshots and converts them into timelines, daily summaries, project milestones, and addiction tracking with optional end-to-end encrypted social sharing.

* [mcp-use mcp-use@1.13.2](https://github.com/mcp-use/mcp-use) – Easily build MCP servers, clients and AI agents in Python and TypeScript with minimal code.

* [mcp-use mcp-use@1.13.2-canar...](https://github.com/mcp-use/mcp-use) – Easily build MCP servers, clients and AI agents in Python and TypeScript with minimal code.

* [Screencap v1.15.0](https://github.com/yahorbarkouski/screencap) – macOS app that captures scheduled background and foreground screenshots and converts them into timelines, daily summaries, project milestones, and addiction tracking with optional end-to-end encrypted social sharing.

* [PAIML MCP Agent Toolkit (pmat) v2.213.11](https://github.com/paiml/paiml-mcp-agent-toolkit) – Zero-configuration AI context generation system with quality enforcement and multi-language codebase analysis.

* [VoltAgent @voltagent/core@2.0....](https://github.com/VoltAgent/voltagent) – TypeScript framework for building and orchestrating AI agents with modular components and standardized patterns.

* [DecoCMS v2.15.0](https://github.com/decocms/mesh) – Context management system that centralizes MCP connections, tools, and policies to compose governed AI apps and workflows.

* [VoltAgent @voltagent/core@2.0....](https://github.com/VoltAgent/voltagent) – TypeScript framework for building and orchestrating AI agents with modular components and standardized patterns.

* [VoltAgent @voltagent/core@2.0....](https://github.com/VoltAgent/voltagent) – TypeScript framework for building and orchestrating AI agents with modular components and standardized patterns.

* [Docs MCP Server v1.36.0](https://github.com/arabold/docs-mcp-server) – Provides version-aware, up-to-date documentation indexing and search to improve AI coding assistant accuracy.

* [Zypher Agent skills/v1.0.0](https://github.com/corespeed-io/zypher-agent) – Production-ready AI agents that live in your applications.

* [Activepieces 0.77.3](https://github.com/activepieces/activepieces) – Extensible AI automation platform with a type-safe TypeScript framework and over 280 integrations for workflow building.

* [mcp-use mcp-use@1.13.2-canar...](https://github.com/mcp-use/mcp-use) – Easily build MCP servers, clients and AI agents in Python and TypeScript with minimal code.

* [DecoCMS v2.14.1](https://github.com/decocms/mesh) – Context management system that centralizes MCP connections, tools, and policies to compose governed AI apps and workflows.

* [MCPProxy v0.14.0](https://github.com/smart-mcp-proxy/mcpproxy-go) – Desktop proxy enabling scalable tool discovery, major token savings, and quarantine of malicious upstream servers for AI agents.

* [Screencap v1.14.0](https://github.com/yahorbarkouski/screencap) – macOS app that captures scheduled background and foreground screenshots and converts them into timelines, daily summaries, project milestones, and addiction tracking with optional end-to-end encrypted social sharing.

* [DecoCMS v2.14.0](https://github.com/decocms/mesh) – Context management system that centralizes MCP connections, tools, and policies to compose governed AI apps and workflows.

* [DecoCMS v2.12.1](https://github.com/decocms/mesh) – Context management system that centralizes MCP connections, tools, and policies to compose governed AI apps and workflows.

* [Activepieces 0.76.2](https://github.com/activepieces/activepieces) – Extensible AI automation platform with a type-safe TypeScript framework and over 280 integrations for workflow building.

* [MongoDB MCP Server v1.4.1-prerelease.6](https://github.com/mongodb-js/mongodb-mcp-server) – Model Context Protocol server for interacting with MongoDB databases and Atlas.

* [MongoDB MCP Server v1.4.1-prerelease.5](https://github.com/mongodb-js/mongodb-mcp-server) – Model Context Protocol server for interacting with MongoDB databases and Atlas.

* [Dexto @dexto/core@1.5.0](https://github.com/truffle-ai/dexto) – Universal intelligence layer that orchestrates LLMs, tools, and data to build stateful, multimodal agentic applications.

* [tRPC-Agent-Go session/clickhouse/v...](https://github.com/trpc-group/trpc-agent-go) – Go framework for building autonomous intelligent agents with multi-agent orchestration, persistent memory, and tool integration.

* [MCP CAN v1.8.0](https://github.com/Kymo-MCP/mcpcan) – Centralized Kubernetes-based platform for containerized MCP service lifecycle management, offering protocol conversion, real-time monitoring, security authentication, and one-stop deployment.

* [MCPJungle 0.3.1](https://github.com/mcpjungle/MCPJungle) – Centralized registry and gateway for managing and accessing Model Context Protocol servers within organizations.

* [tRPC-Agent-Go v1.2.0](https://github.com/trpc-group/trpc-agent-go) – Go framework for building autonomous intelligent agents with multi-agent orchestration, persistent memory, and tool integration.

* [PAIML MCP Agent Toolkit (pmat) v2.213.8](https://github.com/paiml/paiml-mcp-agent-toolkit) – Zero-configuration AI context generation system with quality enforcement and multi-language codebase analysis.

* [Activepieces 0.74.4](https://github.com/activepieces/activepieces) – Extensible AI automation platform with a type-safe TypeScript framework and over 280 integrations for workflow building.