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.
1085 servers
This repository is deprecated and no longer maintained. New implementation: Tinybird MCP Server Please migrate to the official implementation.
A Model Context Protocol (MCP) server for searching NCBI databases, designed for researchers across all life sciences and biomedical fields. This server provides seamless access to PubMed's vast collection of 35+ million scientific articles through natural language queries, enabling AI assistants to help with literature reviews, research discovery, and scientific analysis. 🔬 Comprehensive Search:
A Model Context Protocol (MCP) server implementation that integrates with gitingest for turning any Git repository into a simple text digest of its codebase. - Easy integration with AI assistants through the Model Context Protocol - Git repository analysis and ingestion capabilities - Support for filtering files by size, patterns, and branches - Returns comprehensive repository information includi
This project is a Model Context Protocol (MCP) server for interacting with the VRChat API. It allows you to retrieve various information from VRChat using a standardized protocol. The VRChat MCP server provides a way to access VRChat's API endpoints in a structured manner. It supports a wide range of functionalities, including user authentication, retrieving user and friend information, accessing
Give Claude Code instant access to your project's institutional knowledge. An MCP server that makes your project documentation instantly accessible in Claude Code through @ mentions. Create a .context/ folder, add your docs, and watch Claude become an expert on your codebase. You're working with Claude Code on a complex project. Claude is smart, but it doesn't know: - Your team's coding convention
OneSkills 是面向 AI4S 的科研智能体技能库,聚焦科研开发、实验运行与环境交付等关键环节,提供可复用、可组合、可落地的任务执行能力。
Seamlessly integrate Wolfram Alpha into your chat applications. This project implements an MCP (Model Context Protocol) server designed to interface with the Wolfram Alpha API. It enables chat-based applications to perform computational queries and retrieve structured knowledge, facilitating advanced conversational capabilities. Included is an MCP-Client example utilizing Gemini via LangChain, dem
MCP server for Pearch.AI: natural-language search over people and companies/leads (B2B). Use it from Cursor, Claude Desktop, VS Code, or any MCP-compatible client. - searchpeople — natural-language search for people (e.g. “software engineers in California with 5+ years Python”); returns candidates with optional insights and profile scoring. - searchcompanyleads — find companies and leads/contacts
A Model Context Protocol (MCP) server that transforms how you interact with Google Search Console, Bing Webmaster Tools, and Google Analytics 4. Stop exporting CSVs and start asking questions. 📚 View Documentation Data Silos: Manually checking Google, then Bing, then GA4. Manual Correlation: Exporting 3 different CSVs and using VLOOKUPs to see if your 1 ranking page actually converts. Switching F
English Version 基于 Google 的 Imagen 3.0 的图像生成工具,通过 MCP(Model Control Protocol)提供服务。 画一只奔跑的杰克罗素犬,长焦镜头,阳光透过狗狗的毛发,照片级画质 画一个科技感十足的苹果 - 有效的 Google Gemini API 密钥 1. 从 GitHub Releases 下载最新版本的可执行文件 2. 将下载的可执行文件放置在系统中的任意位置,例如 C:\bin\imagen3-mcp.exe 3. 在 Cherry Studio 中配置: - Command 字段填写可执行文件路径,例如 C:\bin\imagen3-mcp.exe - 环境变量 GEMINIAPIKEY 中填写你的 Gemini API 密钥 - [可选] 环境变量 BASEURL 中填写代理地址,例如 https://lingxi-pro
Open-source memory backend for multi-agent systems. Agents store decisions, share causal knowledge graphs, and retrieve context in 5ms — without cloud lock-in or API costs. Works with LangGraph · CrewAI · AutoGen · any HTTP client · Claude Desktop Key capabilities for agent pipelines: - Framework-agnostic REST API — 15 endpoints, no MCP client library needed - Knowledge graph — agents share causal
Query MCP is an open-source MCP server that lets your IDE safely run SQL, manage schema changes, call the Supabase Management API, and use Auth Admin SDK — all with built-in safety controls. Getting started • Feature overview • Troubleshooting • - 💻 Compatible with Cursor, Windsurf, Cline and other MCP clients supporting stdio protocol - 🔐 Control read-only and read-write modes of SQL query exec
MCP server to interact with Google products. Right now, this MCP server supports Gmail and Calendar integration with the following capabilities: Multiple google accounts Get your Gmail user information Query emails with flexible search (e.g., unread, from specific senders, date ranges, with attachments) Retrieve complete email content by ID Create new draft emails with recipients, subject, body an
This repository contains an implementation of a Model Context Protocol (MCP) server for the Royal Spanish Academy (RAE) API. It allows language models to interact with RAE's dictionary and linguistic resources. Run the server with stdio transport (for integration with LLMs): Or run it as an SSE server: The MCP server exposes the following tools to LLMs: 1. search - Search RAE API for information -
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 powerful Model Context Protocol (MCP) server that provides comprehensive Matter device control capabilities. This server enables AI assistants and applications to discover, commission, and control Matter-compatible smart home devices through a standardized interface. - 🔌 Device Management: Commission and decommission Matter devices with automatic connection - 💡 Device Control: Control lights,
An MCP server that delivers real-time market odds from Polymarket, enabling AI agents and analysts to access, compare, and act on decentralized prediction data. - Event Retrieval: Fetch Polymarket events with details (title, description, endDate, volume) and associated markets in a tabulated format. - Market Retrieval: Retrieve markets with key fields (question, zipped outcomes and outcomePrices,
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
A Model Context Protocol (MCP) compliant server that formats files using .editorconfig rules. This project started from a specific workflow issue I kept running into. I found that while working with AI coding agents, they would often generate code with minor formatting errors, like trailing whitespace or inconsistent newlines. Our linters would then flag these issues, and the agent would spend val
MCP Server for Deep Research is a tool designed for conducting comprehensive research on complex topics. It helps you explore questions in depth, find relevant sources, and generate structured research reports. Your personal Research Assistant, turning research questions into comprehensive, well-cited reports. Youtube: https://youtu.be/a7sfo5yxoI 1. Download Claude Desktop - Get it here 2. Install
Query and analyze LLM traces with AI assistance. Ask Claude to find expensive API calls, debug errors, compare model performance, or track token usage—all from your IDE. An MCP (Model Context Protocol) server that connects AI assistants to OpenTelemetry trace backends (Jaeger, Tempo, Traceloop), with specialized support for LLM observability through OpenLLMetry semantic conventions. See it in acti
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
This is a simple Model Context Protocol (MCP) server implementation for IP2Location.io API. It will return a detailed geolocation information for any given IPv4 or IPv6 address. - Comprehensive Geolocation Data: Retrieves a wide range of information, including country, region, city, latitude, longitude, ZIP code, time zone, and more. - Network Details: Provides network-related data such as ASN, IS
See what your agent did. Verify nobody tampered with the record. Stop broken retries. A drop-in governance proxy for any MCP tool server. One command to add tamper-evident receipts, failure memory, and authority tracking. No config. No server. Watch governance happen: receipts, failure memory, automatic blocking, hash chain verification — all in 5 seconds. Your agent doesn't know the proxy exists.