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 project implements a Model Context Protocol (MCP) server that acts as a bridge to interact with the Coda API. It allows an MCP client (like an AI assistant) to perform actions on Coda pages, such as listing, creating, reading, updating, duplicating, and renaming. The server exposes the following tools to the MCP client: - codalistdocuments: Lists all documents available to the user. - codalis
An MCP server (stdio transport) that wraps Hugging Face's LocalPythonExecutor (from the smolagents framework). It is a custom Python runtime that provides basic isolation/security when running Python code generated by LLMs locally. It does not require Docker or VM. This package allows to expose the Python executor via MCP (Model Context Protocol) as a tool for LLM apps like Claude Desktop, Cursor
A Model Context Protocol (MCP) server implementation that enables comprehensive configuration and management of Higress. This repository also provides an MCP client built on top of LangGraph and LangChain MCP Adapters, facilitating interaction with the Higress MCP Server through a well-designed agent flow architecture. Copy the .env.example file to .env and fill in the corresponding values. In std
A Model Context Protocol (MCP) server for querying the CVE-Search API. This server provides comprehensive access to CVE-Search, browse vendor and product、get CVE per CVE-ID、get the last updated CVEs. - python 3.10+ - Cline、Roo Code etc - To get a JSON with all the vendors - To get a JSON with all the products associated to a vendor - To get a JSON with all the vulnerabilities per vendor and a spec
Remote voice via VoiceMode Connect. Use when users want to add voice to Claude Code using their phone or web app, without local STT/TTS setup.
arvo-mcp is a Model Context Protocol (MCP) server that connects your AI assistant to Arvo, an AI-powered fitness coach. Access your workout history, personal records, body composition, and training plans directly from Claude Desktop, Cursor, or any MCP-compatible client. Perfect for fitness enthusiasts who want to: - 🏋️ Ask "What's my workout today?" and get your personalized training plan - 📊 T
AI-Powered Travel Planning: Simplify your trip planning with the Travel Industry's first Remote MCP Server for AI Assistants. Peek.com's amazing experiences cover every major destination worldwide, 300,000+ verified activities, and millions of authentic reviews. Let AI help you find the best experiences for your next trip. "Grandparents in town for weekend. Fun experiences for them and the grandki
Your AI keeps breaking things you told it not to touch. SpecLock makes it stop. Website · npm · Smithery · GitHub Developed by Sandeep Roy · Free & Open Source (MIT License) 100/100 on Claude's independent test suite. 929 tests across 18 suites. 0 false positives. 15.7ms per check. Gemini Flash hybrid, Spec Compiler, Code Graph, Typed Constraints, Python SDK, ROS2 integration. That's it. One c
This repository contains th Metoro MCP (Model Context Protocol) Server. This MCP Server allows you to interact with your Kubernetes cluster via the Claude Desktop App! You can read more about the Model Context Protocol here: https://modelcontextprotocol.io But in a nutshell Metoro is an observability platform designed for microservices running in Kubernetes and uses eBPF based instrumentation to g
A Deno monorepo containing packages for iMessage access on macOS: - @wyattjoh/imessage - Core library for read-only iMessage database access - @wyattjoh/imessage-mcp - Model Context Protocol (MCP) server for LLM integration - Search messages by text content, contact, or date range - Get recent messages - List all chats/conversations - Get all contacts/handles - Retrieve messages from specific chat
An experimental and educational Ping-Pong server demonstrating MCP (Model Context Protocol) calls via FastAPI. - ✅ FastAPI/FastMCP backend for remote MCP calls through API endpoints or SSE - 🔄 MCP integration for command handling - 🔐 Thread-safe session management To install the dependencies, run: Start the FastAPI server with: The server will start at http://localhost:8080. Open mcp-api-client.
A Model Context Protocol server for the QA Sphere test management system. This integration enables Large Language Models (LLMs) to interact directly with QA Sphere test cases, allowing you to discover, summarize, and chat about test cases. In AI-powered IDEs that support MCP, you can reference specific QA Sphere test cases within your development workflow. - Node.js (recent LTS versions) - QA Sphe
Built by Matious — We build custom AI tools and MCP servers for businesses. Managing Google Ad Manager is tedious. Creating campaigns, uploading creatives, and configuring line items involves countless clicks through a complex UI. This MCP server changes that. Connect it to Claude and manage your entire ad operations through conversation: - "Create a new campaign for Nike ending December 31st" - "
An MCP server that connects to OPC UA-enabled industrial systems, allowing AI agents to monitor, analyze, and control operational data in real time. This project is ideal for developers and engineers looking to bridge AI-driven workflows with industrial automation systems. - Read OPC UA Nodes: Retrieve real-time values from industrial devices. - Write to OPC UA Nodes: Control devices by writing va
Your comprehensive Sonos control companion powered by the Model Context Protocol (MCP). This intelligent server provides seamless access to Sonos audio devices over your local network using UPnP/SOAP protocols. Whether you're controlling playback, managing zones, browsing your music library, or setting up alarms, this MCP server delivers complete device control directly to your AI assistant, enabl
🇰🇷 한국어 | 🇺🇸 English 한국 주식 분석을 위한 MCP 서버입니다. DART(전자공시시스템)와 KRX(한국거래소) 공식 API를 통해 주가 정보와 공시 자료 기반의 AI분석이 가능합니다. - 🔍 공시검색 - 회사별, 기간별 공시 검색 - 📊 공시 데이터 - 공시보고서 원본파일 파싱한 데이터 제공 - 💼 재무제표 분석 - XBRL 기반 상세 재무 데이터 - 📈 주식 데이터 - KRX(코스피/코스닥) 일별 주가정보, 종목 기본정보 먼저 DART와 KRX의 API KEY를 발급받아야 합니다. 1. 회원가입: OPEN DART 회원가입 2. 키 신청: 인증키 신청 페이지에서 API KEY 신청 3. 키 확인: 오픈API 이용현황에서 발급된 API KEY 확인 1. 회원가입: KRX OPEN
An MCP server implementation that enables AI assistants to interact with Confluent Cloud REST APIs. This server allows AI tools like Claude Desktop and Goose CLI to manage Kafka topics, connectors, and Flink SQL statements through natural language interactions. - mcp-confluent - Goose CLI - Claude Desktop - Table of Contents - User Guide - Getting Started - Configuration - Prerequisites \& Setup f
MCP Server - Bridge to Google Gemini API. Part of the HumoticaOS / SymbAIon ecosystem. Add to your claudedesktopconfig.json: - Connect MCP clients to Google Gemini API - Support for Gemini Pro and other models - Streaming responses - Simple configuration - Jasper van de Meent (@jaspertvdm) - Root AI (Claude) - rootai@humotica.nl One Love, One fAmIly! This package is officially distributed via: - P
Hardware-accelerated persistent memory for AI agents. Local-first. No cloud. One-time payment. 66.9% on LoCoMo benchmark (adjusted). Under 1ms retrieval. Zero cloud dependency. Retrieval pipeline rebuilt from scratch. - bge-small-en-v1.5 bi-encoder + ms-marco cross-encoder reranker (spec-decode architecture) - BM25 + Porter-stemmed BM25 + named entity injection, fused via RRF - MAGMA graph layer —
An MCP server that delivers cryptocurrency sentiment analysis to AI agents, leveraging Santiment's aggregated social media and news data to track market mood and detect emerging trends. - Sentiment Analysis: Retrieve sentiment balance (positive vs. negative) for specific cryptocurrencies. - Social Volume Tracking: Monitor total social media mentions and detect significant shifts (spikes or drops).
A Model Context Protocol (MCP) server providing AI assistants with comprehensive Quip document access and management. - Full Document Lifecycle: Create, read, edit, delete Quip documents - Smart Search: Find documents with comprehensive search capabilities - Recent Documents: Access your recently viewed/edited documents - User Management: Get user information and details - Comments: Retrieve and m
An open source MCP (Model Context Protocol) server empowering SREs with intelligent observability, predictive analytics, and AI-driven automation across Kubernetes, OpenShift, and Tekton environments. - Quick Start - Prerequisites - Installation - Usage Examples - Configuration - Available Tools - Architecture - How It Works - MCP Client Integration - Performance Considerations - Troubleshooting -
A Model Context Protocol (MCP) server that connects to the Databricks Genie API, allowing LLMs to ask natural language questions, run SQL queries, and interact with Databricks conversational agents. - List Genie spaces available in your Databricks workspace (Currently Manual/Using Resource) - Fetch metadata (title, description) of a specific Genie space - Start new Genie conversations with natural
This project provides a modular, resource-oriented FastMCP server for interacting with Microsoft Graph API. It is designed for extensibility, maintainability, and security, supporting advanced queries for users, sign-in logs, MFA status, and privileged users. - Modular Resource Structure: - Each resource (users, sign-in logs, MFA, etc.) is implemented in its own module under src/msgraphmcpserver/r