* [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 v7.21.0](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.

* [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.

* [MCP Go SDK v1.4.1](https://github.com/modelcontextprotocol/go-sdk) – Official Go SDK implementing the Model Context Protocol for building clients and servers.

* [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.

* [Activepieces 0.79.3](https://github.com/activepieces/activepieces) – Extensible AI automation platform with a type-safe TypeScript framework and over 280 integrations for workflow building.

* [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.

* [Super-Agent-Party v0.3.9](https://github.com/heshengtao/super-agent-party) – 3D AI desktop companion platform with modular LLM enhancements, multi-terminal deployment, and cross-platform compatibility.

* [NestJS MCP Server Module v1.9.8](https://github.com/rekog-labs/MCP-Nest) – NestJS module that exposes tools, resources, and prompts using the Model Context Protocol.

* [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.

* [Apify MCP Server v0.9.11](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 v1.8.1](https://github.com/mongodb-js/mongodb-mcp-server) – Model Context Protocol server for interacting with MongoDB databases and Atlas.

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

* [ToolHive v0.12.1](https://github.com/stacklok/toolhive) – Simplifies secure deployment and management of Model Context Protocol servers in isolated containers.

* [SearXNG MCP Server v0.9.2](https://github.com/ihor-sokoliuk/mcp-searxng) – MCP server integrating a SearXNG-compatible web search API with URL content extraction, caching, pagination, and filtering.

* [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.

* [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.

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

* [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.

* [MCPProxy v0.21.2](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.

* [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.

* [Dexto @dexto/server@1.6.16](https://github.com/truffle-ai/dexto) – Universal intelligence layer that orchestrates LLMs, tools, and data to build stateful, multimodal agentic applications.

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

* [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.

* [U.S. Census Bureau Data API MCP v0.1.2-beta](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.

* [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.