* [Bifrost transports/v1.3.18](https://github.com/maximhq/bifrost) – High-performance AI gateway offering multi-provider access with automatic failover, load balancing, and zero-downtime deployments.

* [Bifrost transports/v1.3.17](https://github.com/maximhq/bifrost) – High-performance AI gateway offering multi-provider access with automatic failover, load balancing, and zero-downtime deployments.

* [Minecraft MCP Server 2.0.0](https://github.com/yuniko-software/minecraft-mcp-server) – Minecraft bot controlled via Model Context Protocol and Mineflayer API enabling AI interaction and commands.

* [RubyLLM::MCP v0.7.1](https://github.com/patvice/ruby_llm-mcp) – Ruby client for the Model Context Protocol enabling seamless integration with RubyLLM.

* [nuxt-mcp / vite-plugin-mcp v0.2.6](https://github.com/antfu/nuxt-mcp) – MCP server and plugins for enhancing model understanding in Vite and Nuxt applications.

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

* [Bifrost transports/v1.3.16](https://github.com/maximhq/bifrost) – High-performance AI gateway offering multi-provider access with automatic failover, load balancing, and zero-downtime deployments.

* [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.

* [xiaohongshu-mcp v2025.11.05.1527-194...](https://github.com/xpzouying/xiaohongshu-mcp) – MCP tool for managing content on xiaohongshu.com.

* [mcp-ui python-server-sdk/v1...](https://github.com/idosal/mcp-ui) – SDK collection enabling interactive UI components for Model Context Protocol with server-client rendering and event handling.

* [Bifrost transports/v1.3.15](https://github.com/maximhq/bifrost) – High-performance AI gateway offering multi-provider access with automatic failover, load balancing, and zero-downtime deployments.

* [UI-TARS Desktop v0.3.0](https://github.com/bytedance/UI-TARS-desktop) – Desktop application providing a native GUI Agent with local and remote computer and browser control.

* [n8n-MCP v2.22.10](https://github.com/czlonkowski/n8n-mcp) – Model Context Protocol server providing AI assistants with detailed access to n8n node documentation, properties, and operations.

* [Bifrost core/v1.2.18](https://github.com/maximhq/bifrost) – High-performance AI gateway offering multi-provider access with automatic failover, load balancing, and zero-downtime deployments.

* [VoltAgent @voltagent/core@1.2....](https://github.com/VoltAgent/voltagent) – TypeScript framework for building and orchestrating AI agents with modular components and standardized patterns.

* [RubyLLM::MCP v0.7.0](https://github.com/patvice/ruby_llm-mcp) – Ruby client for the Model Context Protocol enabling seamless integration with RubyLLM.

* [Bifrost transports/v1.3.14](https://github.com/maximhq/bifrost) – High-performance AI gateway offering multi-provider access with automatic failover, load balancing, and zero-downtime deployments.

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

* [MCP Proxy Server v0.43.0](https://github.com/TBXark/mcp-proxy) – Proxy server aggregating multiple MCP servers behind a single HTTP entrypoint with SSE and streamable HTTP support.

* [ActionMCP action_mcp/v0.83.1](https://github.com/seuros/action_mcp) – Ruby gem providing Model Context Protocol server support for Rails applications with network-based deployments.

* [ActionMCP action_mcp/v0.83.0](https://github.com/seuros/action_mcp) – Ruby gem providing Model Context Protocol server support for Rails applications with network-based deployments.

* [MCP Registry v1.3.8](https://github.com/modelcontextprotocol/registry) – Registry service providing clients with a list of MCP servers.

* [MCP Router v0.5.8](https://github.com/mcp-router/mcp-router) – Desktop application for managing and connecting to Model Context Protocol servers with local data storage and cross-platform support.

* [MCP Router v0.5.7](https://github.com/mcp-router/mcp-router) – Desktop application for managing and connecting to Model Context Protocol servers with local data storage and cross-platform support.

* [VoltAgent @voltagent/core@1.1....](https://github.com/VoltAgent/voltagent) – TypeScript framework for building and orchestrating AI agents with modular components and standardized patterns.

* [xiaohongshu-mcp v2025.11.02.1102-11a...](https://github.com/xpzouying/xiaohongshu-mcp) – MCP tool for managing content on xiaohongshu.com.

* [Activepieces 0.71.1](https://github.com/activepieces/activepieces) – Extensible AI automation platform with a type-safe TypeScript framework and over 280 integrations for workflow building.

* [RubyLLM::MCP v0.6.4](https://github.com/patvice/ruby_llm-mcp) – Ruby client for the Model Context Protocol enabling seamless integration with RubyLLM.

* [PAIML MCP Agent Toolkit (pmat) v2.192.0](https://github.com/paiml/paiml-mcp-agent-toolkit) – Zero-configuration AI context generation system with quality enforcement and multi-language codebase analysis.

* [Playwright MCP v0.0.45](https://github.com/microsoft/playwright-mcp) – Model Context Protocol server enabling LLMs to interact with web pages through structured accessibility snapshots using Playwright.

* [PAIML MCP Agent Toolkit (pmat) v2.189.0](https://github.com/paiml/paiml-mcp-agent-toolkit) – Zero-configuration AI context generation system with quality enforcement and multi-language codebase analysis.

* [PAIML MCP Agent Toolkit (pmat) v2.188.0](https://github.com/paiml/paiml-mcp-agent-toolkit) – Zero-configuration AI context generation system with quality enforcement and multi-language codebase analysis.

* [PAIML MCP Agent Toolkit (pmat) v2.185.0](https://github.com/paiml/paiml-mcp-agent-toolkit) – Zero-configuration AI context generation system with quality enforcement and multi-language codebase analysis.

* [MCP Router v0.5.6](https://github.com/mcp-router/mcp-router) – Desktop application for managing and connecting to Model Context Protocol servers with local data storage and cross-platform support.

* [AIPex 2.2.28](https://github.com/AIPexStudio/AIPex) – AI-powered Chrome extension for automating browser tasks using natural language commands.

* [VoltAgent @voltagent/core@1.1....](https://github.com/VoltAgent/voltagent) – TypeScript framework for building and orchestrating AI agents with modular components and standardized patterns.

* [Better Chatbot v1.25.0](https://github.com/cgoinglove/better-chatbot) – AI chatbot platform integrating multiple LLMs with tools for automation, collaboration, and voice interaction.

* [Bifrost transports/v1.3.13](https://github.com/maximhq/bifrost) – High-performance AI gateway offering multi-provider access with automatic failover, load balancing, and zero-downtime deployments.

* [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.

* [MCP Registry v1.3.7](https://github.com/modelcontextprotocol/registry) – Registry service providing clients with a list of MCP servers.

* [MCP Registry v1.3.6](https://github.com/modelcontextprotocol/registry) – Registry service providing clients with a list of MCP servers.

* [PAIML MCP Agent Toolkit (pmat) v2.180.1](https://github.com/paiml/paiml-mcp-agent-toolkit) – Zero-configuration AI context generation system with quality enforcement and multi-language codebase analysis.

* [MCP Proxy Server v0.42.0](https://github.com/TBXark/mcp-proxy) – Proxy server aggregating multiple MCP servers behind a single HTTP entrypoint with SSE and streamable HTTP support.

* [MCP Gateway & Registry v1.0.5](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.

* [PAIML MCP Agent Toolkit (pmat) v2.179.0](https://github.com/paiml/paiml-mcp-agent-toolkit) – Zero-configuration AI context generation system with quality enforcement and multi-language codebase analysis.

* [RubyLLM::MCP v0.6.3](https://github.com/patvice/ruby_llm-mcp) – Ruby client for the Model Context Protocol enabling seamless integration with RubyLLM.

* [Bifrost transports/v1.3.12](https://github.com/maximhq/bifrost) – High-performance AI gateway offering multi-provider access with automatic failover, load balancing, and zero-downtime deployments.

* [PAIML MCP Agent Toolkit (pmat) v2.178.0](https://github.com/paiml/paiml-mcp-agent-toolkit) – Zero-configuration AI context generation system with quality enforcement and multi-language codebase analysis.

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

* [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.

* [PAIML MCP Agent Toolkit (pmat) v2.177.0](https://github.com/paiml/paiml-mcp-agent-toolkit) – Zero-configuration AI context generation system with quality enforcement and multi-language codebase analysis.

* [n8n-MCP v2.22.8](https://github.com/czlonkowski/n8n-mcp) – Model Context Protocol server providing AI assistants with detailed access to n8n node documentation, properties, and operations.

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

* [nuxt-mcp / vite-plugin-mcp v0.2.5](https://github.com/antfu/nuxt-mcp) – MCP server and plugins for enhancing model understanding in Vite and Nuxt applications.

* [Activepieces 0.71.0](https://github.com/activepieces/activepieces) – Extensible AI automation platform with a type-safe TypeScript framework and over 280 integrations for workflow building.

* [GitHub MCP Server v0.20.1](https://github.com/github/github-mcp-server) – Server for integrating GitHub APIs with advanced automation and interaction capabilities.

* [PAIML MCP Agent Toolkit (pmat) v2.175.0](https://github.com/paiml/paiml-mcp-agent-toolkit) – Zero-configuration AI context generation system with quality enforcement and multi-language codebase analysis.

* [MCP PostgreSQL Operations Server 3.1.1](https://github.com/call518/MCP-PostgreSQL-Ops) – Professional MCP server for PostgreSQL database operations, monitoring, and performance analysis with version-adaptive features.

* [GitHub MCP Server v0.20.0](https://github.com/github/github-mcp-server) – Server for integrating GitHub APIs with advanced automation and interaction capabilities.

* [PAIML MCP Agent Toolkit (pmat) v2.173.0](https://github.com/paiml/paiml-mcp-agent-toolkit) – Zero-configuration AI context generation system with quality enforcement and multi-language codebase analysis.

* [xiaohongshu-mcp v2025.10.26.1336-adb...](https://github.com/xpzouying/xiaohongshu-mcp) – MCP tool for managing content on xiaohongshu.com.

* [n8n-MCP v2.22.7](https://github.com/czlonkowski/n8n-mcp) – Model Context Protocol server providing AI assistants with detailed access to n8n node documentation, properties, and operations.

* [PAIML MCP Agent Toolkit (pmat) v2.172.0](https://github.com/paiml/paiml-mcp-agent-toolkit) – Zero-configuration AI context generation system with quality enforcement and multi-language codebase analysis.

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

* [Bifrost transports/v1.3.11](https://github.com/maximhq/bifrost) – High-performance AI gateway offering multi-provider access with automatic failover, load balancing, and zero-downtime deployments.

* [mcp-ui server/v5.13.1](https://github.com/idosal/mcp-ui) – SDK collection enabling interactive UI components for Model Context Protocol with server-client rendering and event handling.

* [RubyLLM::MCP v0.6.2](https://github.com/patvice/ruby_llm-mcp) – Ruby client for the Model Context Protocol enabling seamless integration with RubyLLM.

* [Playwright MCP v0.0.44](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/server-ho...](https://github.com/VoltAgent/voltagent) – TypeScript framework for building and orchestrating AI agents with modular components and standardized patterns.

* [mcp-ui client/v5.14.1](https://github.com/idosal/mcp-ui) – SDK collection enabling interactive UI components for Model Context Protocol with server-client rendering and event handling.

* [MCP Registry v1.3.5](https://github.com/modelcontextprotocol/registry) – Registry service providing clients with a list of MCP servers.

* [Desktop Commander MCP v0.2.19](https://github.com/wonderwhy-er/DesktopCommanderMCP) – Tool for managing files, running terminal commands, and automating tasks with AI.

* [Context7 MCP v1.0.26](https://github.com/upstash/context7) – Fetches up-to-date documentation and code examples for prompts in LLMs.

* [MCP Registry v1.3.4](https://github.com/modelcontextprotocol/registry) – Registry service providing clients with a list of MCP servers.

* [VoltAgent @voltagent/core@1.1....](https://github.com/VoltAgent/voltagent) – TypeScript framework for building and orchestrating AI agents with modular components and standardized patterns.

* [Bifrost transports/v1.3.10](https://github.com/maximhq/bifrost) – High-performance AI gateway offering multi-provider access with automatic failover, load balancing, and zero-downtime deployments.

* [VoltAgent @voltagent/core@1.1....](https://github.com/VoltAgent/voltagent) – TypeScript framework for building and orchestrating AI agents with modular components and standardized patterns.