MCP (Model Context Protocol) servers let AI agents reach beyond the codebase. They connect your agent to external APIs, databases, search engines, and services through a standardized protocol — so the agent can actually take action, not just write code.
1062 servers
Product Hunt MCP Server connects Product Hunt's API to any LLM or agent that speaks the Model Context Protocol (MCP). Perfect for AI assistants, chatbots, or your own automations! - 🔍 Get posts, collections, topics, users - 🗳️ Get votes, comments, and more - 🛠️ Use with Claude Desktop, Cursor, or any MCP client - Get detailed info on posts, comments, collections, topics, users - Search/filter b
English Version 一个用于与语雀 API 集成的 Model-Context-Protocol (MCP) 服务器。此实现受 Figma-Context-MCP 的启发，并使用 语雀开放 API。 该服务器提供了与语雀知识库平台交互的 MCP 工具，允许 AI 模型： - 获取用户和文档信息 - 创建、读取、更新和删除文档 - 获取统计数据和分析信息 要使用 Smithery 将 Yuque MCP Server 自动安装到 Claude 桌面端： - Node.js 18+ (推荐) - 拥有 API 令牌的语雀账号 3. 基于 .env.example 创建 .env 文件： 4. (可选) 在 .env 文件中添加你的语雀 API 令牌： 你也可以选择在连接到服务器时通过查询参数提供令牌，而不是在 .env 文件中设置。 然后在 HTTP 或 CLI 模式下运行： 本项
Model Context Protocol (MCP) Server for Langfuse Prompt Management. This server allows you to access and manage your Langfuse prompts through the Model Context Protocol. Quick demo of Langfuse Prompts MCP in Claude Desktop (unmute for voice-over explanations): This server implements the MCP Prompts specification for prompt discovery and retrieval. - prompts/list: List all available prompts - Optio
Cross-platform MCP (Model Context Protocol) server exposing LLM-accessible tools to list and kill OS processes via natural language queries. Perfect for shy ninjas who just want rogue processes gone: "Find and nuke the damn CPU glutton choking my system!" The following tools are exposed to MCP clients: - processlist: Lists running processes sorted by CPU or memory with optional name, user, status,
A Model Context Protocol (MCP) server and command-line interface for Apollo.io. This package provides: - MCP Server: Integrates Apollo.io with Claude Desktop for conversational access to B2B data - CLI Tool: Command-line interface for direct API access via terminal Both tools provide access to Apollo's comprehensive B2B database for people and company search, enrichment, and insights. - Apollo.io
A Model Context Protocol (MCP) server that enables Claude Desktop (and other MCP clients) to generate images, videos, music, and audio using Fal.ai models. - Native Async API - Uses falclient.runasync() for optimal performance - Queue Support - Long-running tasks (video/music) use queue API with progress updates - Non-blocking - All operations are truly asynchronous - STDIO - Traditional Model Con
MCP server for Alog - AI × Human Blog Platform where AI agents write blogs alongside humans. Alog (alog.world) is a revolutionary blogging platform where AI agents can publish articles, share their thought processes, and interact with human writers. AI agents can log their thinking process in real-time and compile those logs into publishable articles. This MCP server allows Claude Desktop, Cursor,
A Model Context Protocol (MCP) server that provides tools for fetching dependency information from Clojars, the Clojure community's artifact repository for Cline, Roo Code, Cody, Claude Desktop etc. The quickest way to use the Clojars MCP Server is to run it directly with npx: You can also install it globally: To install Clojars Dependency Server for Claude Desktop automatically via Smithery: 1. C
Get Claude Code in your local project talking to Telegram in 3 minutes! TSGram MCP connects Claude Code sessions to Telegram using TS/Node/Docker/cli-utils, enabling AI-powered code assistance directly in your Telegram chats. Ask questions about your codebase, get AI insights, and even edit files - all from Telegram on your phone! - Local Docker container runs the Telegram webhook server - TSGram
日本語版 READMEはこちら Model Context Protocol (MCP) server implementation that integrates the LINE Messaging API to connect an AI Agent to the LINE Official Account. 1. pushtextmessage - Push a simple text message to a user via LINE. - userId (string?): The user ID to receive a message. Defaults to DESTINATIONUSERID. Either userId or DESTINATIONUSERID must be set. - message.text (string): The plain text
Progressive disclosure for MCP - Minimal context bloat with on-demand tool discovery and dynamic server provisioning. When Claude Code connects directly to multiple MCP servers (GitHub, Jira, DB, etc.), it loads all tool schemas into context. This causes: - Context bloat: Dozens of tool definitions consume tokens before you even ask a question - Static configuration: Requires Claude Code restart t
Or run the launcher action "Start Development"
Instead of manually writing a system prompt, this tool mines your actual conversation history — your word patterns, recurring topics, and habits of thought — and distils them into a ~3k character profile that meaningfully changes how an AI responds to you. The pipeline runs entirely locally. It never sends your conversation data anywhere. 1. Stream conversations-.json using ijson — never loads the
An MCP (Model Context Protocol) server that enables AI applications to outsource tasks to various model providers through a unified interface. Compatible with any AI tool that supports the Model Context Protocol, including Claude Desktop, Cline, and other MCP-enabled applications. Built with FastMCP for the MCP server implementation and Agno for AI agent capabilities. - 🤖 Multi-Provider Support:
if macbook or linux If the network is slow, you can set up a domestic mirror source. Method 1: On the setting page of cherry-studio, click on the MCP server, then click "Add Server", and subsequently configure it on the page. Method 2: Use the configuration parameters
MCP server enabling AI agents to interact with terminal applications through structured Terminal State Tree representation. Works with any AI assistant that supports the Model Context Protocol. Download pre-built binaries from Releases. Add to ~/.claude.json (macOS/Linux) or %APPDATA%\Claude\claudedesktopconfig.json (Windows): Add to ~/.codex/config.toml: VS Code 1.101+ supports MCP. Add to your V
Local-first MCP runtime for multi-agent consensus guard workflows — AI code review, weighted voting, HITL approval gates, and full observability on SQLite. MCP stdio mode (Claude Desktop, OpenClaw, etc.): Prerequisites: Node.js 20+, npm 10+. Optional: gh CLI (for GitHub PR triggers), OpenAI API key (falls back to deterministic heuristics without one). Any model accessible via the OpenAI or Anthrop
A Model Context Protocol (MCP) server that provides access to the Oura API. It allows language models to query sleep, readiness, and resilience data from Oura API. The server exposes the following tools: - getsleepdata(startdate: str, enddate: str): Get sleep data for a specific date range - getreadinessdata(startdate: str, enddate: str): Get readiness data for a specific date range - getresilienc
A Model Context Protocol (MCP) tool that provides up-to-date documentation for npm packages directly in your IDE. This tool fetches the latest README documentation from either the package's GitHub repository or the README bundled with the npm package itself. This MCP tool helps your IDE (like Cursor) get the most current documentation for any npm package instead of relying on outdated or incomplet
The GitHub MCP Server connects AI tools directly to GitHub's platform. This gives AI agents, assistants, and chatbots the ability to read repositories and code files, manage issues and PRs, analyze code, and automate workflows. All through natural language interactions. - Repository Management: Browse and query code, search files, analyze commits, and understand project structure across any reposi
1. 入门示例: tablestore-java-mcp-server 2. 基于 MCP 架构实现知识库答疑系统: tablestore-java-mcp-server-rag - 实现一个目前最常见的一类 AI 应用即答疑系统，支持基于私有知识库的问答，会对知识库构建和 RAG 做一些优化。 1. 入门示例: tablestore-python-mcp-server 1. Mem0-OpenMemory-MCP: tablestore-python-mem0-mcp-server 欢迎加入我们的钉钉公开群，与我们一起探讨 AI 技术。钉钉群号：36165029092
Generate MCP tool definitions directly from a Swagger/OpenAPI specification file. OpenAPI-MCP is a dockerized MCP server that reads a swagger.json or openapi.yaml file and generates a corresponding Model Context Protocol (MCP) toolset. This allows MCP-compatible clients like Cursor to interact with APIs described by standard OpenAPI specifications. Now you can enable your AI agent to access any AP
A powerful MCP server for generating, editing, and converting SVG images using SVGMaker API. This very illustration came to life through our own SVGMaker MCP server—a living example of AI assistants and vector graphics working in perfect harmony via the Model Context Protocol. - 🎨 AI-Powered SVG Generation: Create SVGs from text descriptions - ✏️ Smart SVG Editing: Edit existing SVGs with natural
A Model Context Protocol (MCP) server for intelligent handling of large files with smart chunking, navigation, and streaming capabilities. - Smart Chunking - Automatically determines optimal chunk size based on file type - Intelligent Navigation - Jump to specific lines with surrounding context - Powerful Search - Regex support with context lines before/after matches - File Analysis - Comprehensiv