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.
958 servers
This repository is deprecated and no longer maintained. New implementation: Tinybird MCP Server Please migrate to the official implementation.
English Documentation 这是一个支持远程连接的模型上下文协议 (MCP) 服务器，内置了飞书 OAuth 认证。 本项目修改自 cloudflare/ai/demos/remote-mcp-github-oauth，将 GitHub OAuth 替换为飞书 OAuth。 您可以将其部署到自己的 Cloudflare 账户，并在创建自己的飞书 OAuth 客户端应用后，拥有一个功能完整的远程 MCP 服务器。用户可以通过飞书账号登录连接到您的 MCP 服务器。 - 与飞书官方 MCP Server 的区别 - 使用 Inspector 测试 - 使用 Cursor - 使用 ChatWise 虽然飞书官方也推出了 MCP Server，但本项目在以下几个方面具有显著优势： - 本项目：用户无需手动配置任何参数，全程使用 useraccesstoken，过期自动刷新 - 官
An MCP server for AI agents to explore DeFi yield opportunities, powered by DefiLlama. - Data Fetching Tool: The getyieldpools tool retrieves DeFi yield pool data from the DefiLlama, allowing filtering by chain (e.g., Ethereum, Solana) or project (e.g., Lido, Aave). - Analysis Prompt: The analyzeyields prompt generates tailored instructions for AI agents to analyze yield pool data, focusing on key
A Model Context Protocol (MCP) server that implements the Zettelkasten knowledge management methodology, allowing you to create, link, explore and synthesize atomic notes through Claude and other MCP-compatible clients. The Zettelkasten method is a knowledge management system developed by German sociologist Niklas Luhmann, who used it to produce over 70 books and hundreds of articles. It consists
文颜（Wenyan） 是一款多平台 Markdown 排版与发布工具，支持将 Markdown 一键转换并发布至： - 以及其它内容平台（持续扩展中） 文颜的目标是：让写作者专注内容，而不是排版和平台适配。 文颜目前提供多种形态，覆盖不同使用场景： - macOS App Store 版 - MAC 桌面应用 - 跨平台桌面版 - Windows/Linux - CLI 版本 - 命令行 / CI 自动化发布 - 👉 MCP 版本 - 本项目 - 核心库 - 嵌入 Node / Web 项目 本仓库是 文颜的 MCP Server 版本，基于模型上下文协议（Model Context Protocol），旨在让 AI 助手（如 Claude Desktop）具备自动排版和发布公众号文章的能力。 - 与 AI 深度集成：让 AI 帮你管理公众号的排版和发布 - 支持 SSE 模式
A Model Context Protocol (MCP) server that provides line-oriented text file editing capabilities through a standardized API. Optimized for LLM tools with efficient partial file access to minimize token usage. To use this editor with Claude.app, add the following configuration to your prompt: MCP Text Editor Server is designed to facilitate safe and efficient line-based text file operations in a cl
An MCP server implementation that provides tools for retrieving and processing documentation through vector search, enabling AI assistants to augment their responses with relevant documentation context. - Vector-based documentation search and retrieval - Support for multiple documentation sources - Semantic search capabilities - Automated documentation processing - Real-time context augmentation f
A Model Context Protocol (MCP) server designed to connect to a CCTV recording program (VMS) to retrieve recorded and live video streams. It also provides tools to control the VMS software, such as showing live or playback dialogs for specific channels at specified times. - Retrieve video channel information, including connection and recording status. - Fetch recording dates and times for specific
A Model Context Protocol (MCP) server interface to Catalysis Hub's GraphQL API, enabling programmatic access to catalysis research data through flexible GraphQL queries. - Direct GraphQL Access: Execute any valid GraphQL query against Catalysis Hub's API - Comprehensive Data Access: - Catalytic reactions (equations, conditions, catalysts) - Material systems (structures, properties, descriptors) -
English | 中文 A Model Context Protocol server for DuckDuckGo Search This is a TypeScript-based MCP server that provides DuckDuckGo search functionality. It demonstrates core MCP concepts through: - Integration with DuckDuckGo Search - Easy-to-use search tool interface - Rate limiting and error handling support - duckduckgosearch - Perform web searches using DuckDuckGo API - Required parameter: quer
A mcp server that provides real-time and historical Crypto Fear & Greed Index data, powered by the Alternative.me. This server exposes resources and tools for fetching and analyzing the Fear & Greed Index, making it easy to integrate into MCP-compatible clients, including Claude Desktop. - Current Index: Retrieve the latest Fear & Greed Index value and classification. - Historical Data: Fetch hist
MCP server to interact with Obsidian via the Local REST API community plugin. The server implements multiple tools to interact with Obsidian: - listfilesinvault: Lists all files and directories in the root directory of your Obsidian vault - listfilesindir: Lists all files and directories in a specific Obsidian directory - getfilecontents: Return the content of a single file in your vault. - search
Connect Claude, ChatGPT, and other AI assistants to your Obsidian vault. If you find this MCP server useful, please consider supporting its development! 👉 Click here to support this project Your support helps maintain and improve this tool. Thank you! 🙏 Claude Desktop: Add to ~/Library/Application Support/Claude/claudedesktopconfig.json (Mac) or %APPDATA%\Claude\claudedesktopconfig.json (Windows
The stable, glowing orb at the center represents the persistent context that survives across chat sessions. The flowing data streams show how ongoing conversations connect to and draw from this stable core of information, preventing context loss. A static MCP (Model Context Protocol) server that provides AI models with persistent tool context, preventing context loss between chat sessions. This se
An MCP (Model Context Protocol) server that provides memory management and context window caching for AI coding environments like Cursor and Claude Desktop. - 💾 Persistent Storage – MongoDB-backed memory that survives sessions - 🧠 Context Caching – Intelligent archiving and retrieval of conversation context - 🏷️ Tag-based Search – Organize and find memories by tags - 📊 Relevance Scoring – Auto
A Model Context Protocol (MCP) server for interacting with Confluence Data Center via REST API. This server provides a set of tools that allow AI models to interact with Confluence content. This MCP server provides the following operations for Confluence: - Execute CQL (Confluence Query Language) searches - Get page content by ID - Get page content with body - Find pages by space key - Find page b
Integrate your Alkemi Data, connected to Snowflake, Google BigQuery, DataBricks and other sources, with your MCP Client. This is a STDIO wrapper for the Streamable HTTP MCP Endpoint: Get your free API key at datalab.alkemi.ai Querying databases requires knowledge about the schema of the tables and may require examples of the kinds of queries that can answer specific questions. Otherwise, you may b
An MCP server for managing Docker with natural language! - 🚀 Compose containers with natural language - 🔍 Introspect & debug running containers - 📀 Manage persistent data with Docker volumes - Server administrators: connect to remote Docker engines for e.g. managing a public-facing website. - Tinkerers: run containers locally and experiment with open-source apps supporting Docker. - AI enthusia
An MCP server implementation that provides a tool for problem-solving using the Lotus Sutra's wisdom framework, combining analytical thinking with intuitive wisdom. Multi-faceted problem-solving approach inspired by the Lotus Sutra Step-by-step thought process with different thinking techniques Meditation pauses to allow insights to emerge naturally Beautifully formatted thought process visualizat
A Streamable-HTTP MCP Server that uses memvid to encode text data into videos that can be quickly looked up with semantic search. Supported Actions: - addchunks: Adds chunks to the memory video. Note: each time you add chunks, it resets the memory.mp4. Unsure if there is a way to incrementally add. - search: queries for the top-matching chunks. Returns 5 by default, but can be changed with topk pa
An MCP server for managing and sharing your personal knowledge, daily notes, and reuseable prompts via GitHub Gists. It's a companion to the GistPad VS Code extension and GistPad.dev (for web/mobile), which allows you to access and edit your gists from any MCP-enabled AI product (e.g. GitHub Copilot, Claude Desktop). - 🏃 Getting started - 🛠️ Included tools - 📁 Included resources - 💬 Reusable p
mem0-mcp-server wraps the official Mem0 Memory API as a Model Context Protocol (MCP) server so any MCP-compatible client (Claude Desktop, Cursor, custom agents) can add, search, update, and delete long-term memories. The server exposes the following tools to your LLM: All responses are JSON strings returned directly from the Mem0 API. There are three ways to use the Mem0 MCP Server: 1. Python Pack
A Model Context Protocol (MCP) server that provides local vector database functionality using FAISS for Retrieval-Augmented Generation (RAG) applications. - Local Vector Storage: Uses FAISS for efficient similarity search without external dependencies - Document Ingestion: Automatically chunks and embeds documents for storage - Semantic Search: Query documents using natural language with sentence
This project is no longer needed. Ragie now supports MCP natively as a streamable HTTP server. See docs here: [https://docs.ragie.ai/docs/mcp-overview] If you would like users within your company to be able to access you knowledge base in applications like Claude or ChatGPT, you may need MCP Bridge A Model Context Protocol (MCP) server that provides access to Ragie's knowledge base retrieval capab