* [n8n-MCP v2.36.0](https://github.com/czlonkowski/n8n-mcp) – Model Context Protocol server providing AI assistants with detailed access to n8n node documentation, properties, and operations.

* [Rulesync v7.20.0](https://github.com/dyoshikawa/rulesync) – Node.js CLI that generates configuration files for AI development tools from unified rule files, with selective generation and import/export support.

* [MCP Toolbox for Databases v0.29.0](https://github.com/googleapis/genai-toolbox) – Toolbox simplifies database interactions for AI tools, enhancing development speed and security.

* [mcp-ui client/v7.0.0](https://github.com/MCP-UI-Org/mcp-ui) – SDK providing interactive web components and UI resources for the Model Context Protocol.

* [XcodeBuildMCP v2.2.0](https://github.com/getsentry/XcodeBuildMCP) – MCP server and CLI providing tools for AI agents working on iOS and macOS projects.

* [MCP Registry v1.5.0](https://github.com/modelcontextprotocol/registry) – Registry service providing clients with a list of MCP servers.

* [GitHub MCP Server v0.32.0](https://github.com/github/github-mcp-server) – Server for integrating GitHub APIs with advanced automation and interaction capabilities.

* [Activepieces 0.79.0](https://github.com/activepieces/activepieces) – Extensible AI automation platform with a type-safe TypeScript framework and over 280 integrations for workflow building.

* [MCP Go SDK v1.4.0](https://github.com/modelcontextprotocol/go-sdk) – Official Go SDK implementing the Model Context Protocol for building clients and servers.

* [RubyLLM::MCP v1.0.0](https://github.com/patvice/ruby_llm-mcp) – Ruby client for the Model Context Protocol enabling seamless integration with RubyLLM.

* [MCP Mesh v2.179.0](https://github.com/decocms/studio) – Control plane routing MCP client traffic through one governed endpoint with auth, RBAC, policy enforcement, and observability.

* [Nocturne: The Soul Anchor Protocol 1.3.0](https://github.com/Dataojitori/nocturne_memory) – URI-based, rollback-capable, visual MCP memory store providing persistent, structured memories across models, sessions, and tools.

* [MCP PostgreSQL Operations Server 3.2.0](https://github.com/call518/MCP-PostgreSQL-Ops) – Professional MCP server for PostgreSQL database operations, monitoring, and performance analysis with version-adaptive features.

* [Screencap v1.20.0](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.

* [idea-reality-mcp v0.5.0](https://github.com/mnemox-ai/idea-reality-mcp) – MCP server that reality-checks AI project ideas across GitHub, Hacker News, npm, PyPI, and Product Hunt, returning a 0-100 reality score.

* [Context Mode v1.0.18](https://github.com/mksglu/context-mode) – MCP server that sandboxes tool output to drastically reduce context size and preserves session continuity via SQLite-indexed event storage and BM25 retrieval.

* [PAIML MCP Agent Toolkit (pmat) v3.7.0](https://github.com/paiml/paiml-mcp-agent-toolkit) – Zero-configuration AI context generation system with quality enforcement and multi-language codebase analysis.

* [DecoCMS v2.153.0](https://github.com/decocms/mesh) – Context management system that centralizes MCP connections, tools, and policies to compose governed AI apps and workflows.

* [godoc-mcp v1.1.0](https://github.com/mrjoshuak/godoc-mcp) – MCP server providing focused Go package documentation to reduce token usage and improve LLM understanding of projects.

* [UnicomAI/wanwu v0.4.2](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.

* [Framelink Figma MCP Server v0.6.6](https://github.com/GLips/Figma-Context-MCP) – MCP server providing simplified Figma layout and styling data for AI coding agents like Cursor.

* [Cloud Run MCP server v1.10.0](https://github.com/GoogleCloudPlatform/cloud-run-mcp) – Enables AI agents, command-line tools, and IDE assistants to deploy applications to Cloud Run.

* [MongoDB MCP Server v1.8.0](https://github.com/mongodb-js/mongodb-mcp-server) – Model Context Protocol server for interacting with MongoDB databases and Atlas.

* [Obot v0.17.0](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.

* [MCPProxy v0.19.0](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.

* [1MCP v0.30.0](https://github.com/1mcp-app/agent) – Unified Model Context Protocol server that aggregates multiple MCP servers into a single endpoint.

* [Vibing Steampunk (vsp) v2.27.0](https://github.com/oisee/vibing-steampunk) – ADT MCP bridge giving AI assistants read, write, debug, deploy, and test access to ABAP systems via natural-language commands.

* [Telegram MCP server v0.2.0](https://github.com/chaindead/telegram-mcp) – Bridge between the Telegram API and AI assistants using the Model Context Protocol to manage dialogs, messages, drafts, and read statuses.

* [tRPC-Agent-Go v1.6.0](https://github.com/trpc-group/trpc-agent-go) – Go framework for building autonomous intelligent agents with multi-agent orchestration, persistent memory, and tool integration.

* [VoltAgent @voltagent/core@2.6....](https://github.com/VoltAgent/voltagent) – TypeScript framework for building and orchestrating AI agents with modular components and standardized patterns.

* [Claude Talk to Figma MCP v0.9.0](https://github.com/arinspunk/claude-talk-to-figma-mcp) – Model Context Protocol enabling AI agents to read, analyze, and modify Figma designs across any Figma account.

* [SearXNG MCP Server v0.9.0](https://github.com/ihor-sokoliuk/mcp-searxng) – MCP server integrating a SearXNG-compatible web search API with URL content extraction, caching, pagination, and filtering.

* [Apify MCP Server v0.9.0](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.

* [ToolHive v0.10.0](https://github.com/stacklok/toolhive) – Simplifies secure deployment and management of Model Context Protocol servers in isolated containers.

* [MCP Gateway & Registry v1.0.17](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.

* [xmcp v0.6.6](https://github.com/basementstudio/xmcp) – TypeScript framework for building and deploying applications on the Model Context Protocol ecosystem.

* [MCPJungle 0.3.6](https://github.com/mcpjungle/MCPJungle) – Centralized registry and gateway for managing and accessing Model Context Protocol servers within organizations.

* [NestJS MCP Server Module v1.9.7](https://github.com/rekog-labs/MCP-Nest) – NestJS module that exposes tools, resources, and prompts using the Model Context Protocol.

* [MCP 0.2.2](https://github.com/cso1z/Feishu-MCP) – Model Context Protocol server enabling AI tools to access, edit, and structure Feishu documents.

* [12306-mcp v0.3.8](https://github.com/Joooook/12306-mcp) – Ticket search server based on the Model Context Protocol providing a simple API for 12306 ticket queries.

* [Context7 MCP ctx7@0.3.2](https://github.com/upstash/context7) – Fetches up-to-date documentation and code examples for prompts in LLMs.

* [mcpc v0.1.11](https://github.com/apify/mcp-cli) – Command-line client for the Model Context Protocol that maps MCP operations to intuitive shell commands for interactive use, scripting, and AI coding agents.

* [telegram-search v1.1.49](https://github.com/groupultra/telegram-search) – Semantic search tool for finding and exporting Telegram messages with multilingual, unsegmented-sentence support and optional self-hosting.

* [FinanceMCP (Synapse) - MCP v4.7.1](https://github.com/guangxiangdebizi/FinanceMCP) – MCP integrating Tushare and Binance APIs to provide real-time multi-asset financial data and news for language models.

* [Context Mode v0.9.17](https://github.com/mksglu/claude-context-mode) – MCP server that sandboxes and summarizes tool outputs to drastically reduce model context usage.

* [The Web MCP v2.8.6](https://github.com/brightdata/brightdata-mcp) – MCP-based server that provides LLMs real-time, unblocked access to live web data and browser automation.

* [CloudBase MCP v2.11.1](https://github.com/TencentCloudBase/CloudBase-MCP) – Connect CloudBase to AI agents, converting prompts into live applications.

* [Minecraft MCP Server 2.0.4](https://github.com/yuniko-software/minecraft-mcp-server) – Minecraft bot controlled via Model Context Protocol and Mineflayer API enabling AI interaction and commands.

* [Super-Agent-Party v0.3.8](https://github.com/heshengtao/super-agent-party) – 3D AI desktop companion platform with modular LLM enhancements, multi-terminal deployment, and cross-platform compatibility.

* [monday.com MCP v0.0.113](https://github.com/mondaycom/mcp) – Enables AI agents to access structured data, tools, and contextual workflows for secure, reliable action.

* [Reddit MCP Buddy v1.1.12](https://github.com/karanb192/reddit-mcp-buddy) – LLM-optimized Model Context Protocol server for browsing, searching, and analyzing Reddit content without API keys.

* [Desktop Commander MCP v0.2.37](https://github.com/wonderwhy-er/DesktopCommanderMCP) – Tool for managing files, running terminal commands, and automating tasks with AI.

* [kagent v0.7.17](https://github.com/kagent-dev/kagent) – Kubernetes-native framework for building, deploying, and managing AI agents.

* [tsidp v0.0.12](https://github.com/tailscale/tsidp) – OIDC and OAuth identity provider server that uses Tailscale identities for authenticating compatible applications and MCP connections.

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

* [mcp-use mcp-use@1.19.3-canar...](https://github.com/mcp-use/mcp-use) – Easily build MCP servers, clients and AI agents in Python and TypeScript with minimal code.

* [One MCP v1.0.7](https://github.com/burugo/one-mcp) – Centralized proxy for Model Context Protocol services with web-based management, service marketplace, and monitoring.

* [yutu v0.10.7-dev1](https://github.com/eat-pray-ai/yutu) – Fully functional MCP server and CLI for automating YouTube workflows and managing videos, playlists, channels, comments, and captions.

* [MCP SQLite Server 1.0.8](https://github.com/jparkerweb/mcp-sqlite) – Model Context Protocol server enabling CRUD, schema exploration, and custom SQL execution for SQLite databases.

* [MCP CAN v2.1](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.

* [xiaohongshu-mcp v2026.03.09.0605-0e1...](https://github.com/xpzouying/xiaohongshu-mcp) – MCP tool for managing content on xiaohongshu.com.

* [Gram server@0.27.0](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.

* [@cap-js/mcp-server v0.0.4](https://github.com/cap-js/mcp-server) – Model Context Protocol server providing fuzzy model and semantic documentation search for SAP CAP development.

* [ActionMCP action_mcp/v0.107.0](https://github.com/seuros/action_mcp) – Ruby gem providing Model Context Protocol server support for Rails applications with network-based deployments.

* [Faucet v0.1.12](https://github.com/faucetdb/faucet) – Single-binary server that converts SQL databases into secure, RBAC-enabled REST APIs with OpenAPI and MCP support for AI agents.

* [kMCP v0.2.7](https://github.com/kagent-dev/kmcp) – CLI and Kubernetes control plane for building, testing, and deploying MCP servers.

* [Agent Registry v0.2.1](https://github.com/agentregistry-dev/agentregistry) – Centralized registry for curating, discovering, deploying, and managing agentic AI artifacts and infrastructure.

* [archestra platform-v1.0.52](https://github.com/archestra-ai/archestra) – MCP-native centralized platform for orchestrating, securing, and observing MCP servers with private registry and cost controls.

* [DeployStack backend-v0.61.0](https://github.com/deploystackio/deploystack) – Centralized MCP server management, credential vault, governance, and token optimization for developers and enterprises.

* [@emqx-ai/mcp-mqtt-sdk v0.2.7](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.

* [Daymon v0.1.29](https://github.com/daymonio/daymon) – Desktop app that runs scheduled Claude tasks, adds persistent memory, file watchers, and background workers locally without cloud.

* [Bifrost helm-chart-v2.0.8](https://github.com/maximhq/bifrost) – High-performance AI gateway offering multi-provider access with automatic failover, load balancing, and zero-downtime deployments.

* [U.S. Census Bureau Data API MCP v0.1.1](https://github.com/uscensusbureau/us-census-bureau-data-api-mcp) – MCP server that connects AI assistants to the Census Data API and local Census datasets for context-rich statistics.

* [mcp-tts v0.1.37](https://github.com/blacktop/mcp-tts) – MCP server exposing multiple text-to-speech backends for desktop apps and IDEs.

* [Zypher Agent ui/v0.3.3](https://github.com/corespeed-io/zypher-agent) – Production-ready AI agents that live in your applications.

* [Shodan MCP Server v1.0.21](https://github.com/BurtTheCoder/mcp-shodan) – MCP server providing structured access to Shodan API and CVEDB for IP reconnaissance, DNS lookups, vulnerability data, and device search.

* [spiceflow spiceflow@1.18.0-rsc...](https://github.com/remorses/spiceflow) – Lightweight type-safe API framework with Zod validation, OpenAPI generation, RPC client generation, and SSE streaming.

* [pgEdge Postgres MCP Server and Natural Language Agent v1.0.0-beta3-test](https://github.com/pgEdge/pgedge-postgres-mcp) – PostgreSQL MCP server enabling SQL queries from MCP-compatible clients, with a natural-language agent plus CLI and web UIs.