MCP Servers
66,266 MCP servers for AI apps. Filter by category, badge and popularity.
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GitScrum Studio MCP server for AI-powered project management. 29 tools covering tasks, sprints, time tracking, invoicing, proposals, client workflows, analytics, standups, wikis, and discussions. Supports 160+ operations with built-in OAuth device flow authentication.
This project demonstrates how to create and use a Model Context Protocol (MCP) server that can provide custom tools and resources to AI assistants like Claude and others that support the MCP standard. The server includes: - Simple math operations (addition) - Dynamic greeting re
52-tool MCP server that gives AI agents full control over the social media content lifecycle. Automated growth loop: research trends, generate content with 35+ AI models, including Sora, Kling, Veo, score through a 7-category quality gate, distribute to social media platforms
Yusense Data API service is now fully compatible with the MCP protocol to create data service MCP servers. The usensedata-mcp-server-query-china-company project is a server for enterprise data query services. Users can quickly use Yusense Data enterprise data services via LLMs with simple configuration. It depends on the MCP TypeScript SDK and can be quickly integrated into AI assistants that support the MCP protocol
Point mcpify at any OpenAPI spec and every endpoint becomes a tool your AI agent (Claude, Cursor, Windsurf) can call — zero glue code, zero per-endpoint wrappers, always in sync with the spec. Supports GET/POST/PUT/PATCH/DELETE, auth headers, and both URL and local file specs.
One searchable memory of your Claude.ai chats and Claude Code sessions, served over MCP. Local-first MCP server that indexes your full Claude.ai history and your Claude Code / terminal sessions, then exposes them to Claude Code (stdio) and to Claude.ai (remote connector). Hybrid
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.
