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
A Model Control Protocol (MCP) server that bridges AI coding assistants with JetBrains TeamCity CI/CD server, exposing TeamCity operations as MCP tools. The TeamCity MCP Server allows developers using AI-powered coding assistants (Claude Code, Cursor, Windsurf) to interact with TeamCity directly from their development environment via MCP tools. - Dev Mode (default): Safe CI/CD operations (31 tools
基于七牛云产品构建的 Model Context Protocol (MCP) Server，支持用户在 AI 大模型客户端的上下文中通过该 MCP Server 来访问七牛云存储、智能多媒体，直播服务等。 - 获取 Bucket 列表 - 获取 Bucket 中的文件列表 - 上传本地文件，以及给出文件内容进行上传 - 关于访问七牛云存储详细情况请参考 基于 MCP 使用大模型访问七牛云存储。 - 创建直播空间bucket - 获取推拉流直播地址 - Python 3.12 或更高版本 如果还没有安装 uv，可以使用以下命令安装： 具体安装方式参考 uv 安装 1. 在 vscode 下载 Cline 插件（下载后 Cline 插件后在侧边栏会增加 Cline 的图标） 3. 配置 qiniu MCP 1. 点击 Cline 图标进入 Cline 插件，选择 MCP Server 模块
Fast, token-efficient web content extraction for AI agents - converts websites to clean Markdown. Existing MCP web crawlers are slow and consume large quantities of tokens. This pauses the development process and provides incomplete results as LLMs need to parse whole web pages. This MCP package fetches web pages locally, strips noise, and converts content to clean Markdown while preserving links.
Ace the Claude Certified Architect exam Adaptive certification prep powered by the Model Context Protocol. 390 questions. Guided capstone build. 30 concept handouts. 6 reference projects. Practice exams. Spaced repetition. Zero sycophancy. Quick Start • Features • How It Works • Study Modes • Capstone Build • Reference Projects • Concept Handouts • Exam Domains • Architecture Architect Cert is a f
Markmap MCP Server is based on the Model Context Protocol (MCP) that allows one-click conversion of Markdown text to interactive mind maps, built on the open source project markmap. The generated mind maps support rich interactive operations and can be exported in various image formats. - 🌠 Markdown to Mind Map: Convert Markdown text to interactive mind maps - 🖼️ Multi-format Export: Support for
A Model Context Protocol (MCP) server for managing and interacting with the Flowcore Platform. If you're curious about how it works, you can check out our video, where we set it up and demonstrate what it can do. You can run this package directly using npx without installing it: Replace and with your Flowcore username and PAT (Personal Access Token). If you prefer to install the package globally:
An MCP server for semantic code search & navigation that helps AI agents work efficiently without burning through costly tokens. Instead of reading entire files, agents can search conceptually and jump directly to the specific functions, classes, and code chunks they need. - OpenAI API Key: Required for generating embeddings (local embedding support planned) - Git: Must be a git repository (respec
Efficiently perform web searches using the mcp-local-rag server with semantic similarity ranking. Use this skill when you need to search the web for current information, research topics across multiple sources, or gather context from the internet without using external APIs. This skill teaches effective use of RAG-based web search with DuckDuckGo, Google, and multi-engine deep research capabilities.
Model Context Protocol server for TorrentClaw — giving AI assistants the ability to search movies and TV shows, find torrents with magnet links, check streaming availability, and explore cast/crew metadata. torrentclaw-mcp is developed by TorrentClaw as part of its open-source ecosystem. It wraps the TorrentClaw API into the MCP standard so that any compatible AI assistant (Claude, GPT, etc.) can
The Web MCP 🌐 Give your AI real-time web superpowers Seamlessly connect LLMs to the live web without getting blocked Quick Start • Features • 🎉 Free Tier Available! 🎉 5,000 requests/month FREE Perfect for prototyping and everyday AI workflows 🚀 Launch Week - January 2026 🚀 5 Days of Major Releases! 📦 Tool Groups 🧙 Setup Wizard ⚡ Token Efficiency 🏢 Enterprise Integrations 📊 Observability
A Model Context Protocol (MCP) server implementation that integrates with Vectorize for advanced Vector retrieval and text extraction. For one-click installation, click one of the install buttons below: For the quickest installation, use the one-click install buttons at the top of this section. To install manually, add the following JSON block to your User Settings (JSON) file in VS Code. You can
mcp-ragchat An MCP server that adds RAG-powered AI chat to any website. One command from Claude Code. Tell Claude Code "add AI chat to mysite.com" and it will crawl your content, build a local vector store, spin up a chat server, and hand you an embed snippet. No cloud infra. No database. Just one API key. 1. Clone and build 2. Configure Claude Code (~/.claude/mcp.json) Open Claude Code and say: C
The ultimate Rust SDK and high-performance MCP server for Obsidian-flavored Markdown (.ofm) and standard .md vaults. TurboVault is a dual-purpose toolkit designed for both developers and users. It provides a robust, modular Rust SDK for building applications that consume markdown directories, and a full-featured MCP server that works out of the box with Claude and other AI agents. Build your own a
A Model Context Protocol (MCP) server that enables you to manage Gitea/Forgejo repositories through AI assistants like Claude, Gemini, and Copilot. If you want to: - Smart progress tracking: Let AI help you track project progress and analyze bottlenecks - Automated issue categorization: Automatically tag issue labels and set milestones based on content - Priority sorting: Let AI analyze issue cont
This is the official MCP (Model Context Protocol) server for LG ThinQ devices. This server provides integrated control capabilities including status monitoring, device control, and profile information for various LG ThinQ devices, built on the LG ThinQ API and Python Open SDK. MCP connection method is stdio. - Prerequisites - Quick Start - Detailed Usage - Tool Reference - Device List Query Retrie
An MCP server that provides safe access to your iMessage database through Model Context Protocol (MCP). This server is built with the FastMCP framework and the imessagedb library, enabling LLMs to query and analyze iMessage conversations with proper phone number validation and attachment handling. - macOS (required for iMessage database access) - Python 3.6+ Install all required dependencies: - fa
A Model Context Protocol Server for Home Assistant. See Model Context Protocol for context. The custom component required by this integration is moving to Home Assistant Core in https://github.com/home-assistant/core/pull/134122 1. Install the home-assistant-model-context-protocol custom component in your Home Assistant instance 1. Create a Long Lived Access Token 1. Clone this git repo to a path
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
Access comprehensive NBA statistics via Model Context Protocol A Model Context Protocol (MCP) server that provides access to live and historical NBA data including player stats, game scores, team information, and advanced analytics. 1. Install the server: 2. Add to your Claude Desktop config file: MacOS: ~/Library/Application Support/Claude/claudedesktopconfig.json Windows: %APPDATA%/Claude/claude
OMOPHub MCP Server Medical vocabularies for AI agents. Search, map, and navigate 10M+ OMOP concepts: SNOMED CT, ICD-10, RxNorm, LOINC, and more. Directly from Claude, Cursor, VS Code, or any MCP-compatible client. Quick Start · Examples · Working with medical vocabularies today means downloading multi-gigabyte CSV files, loading them into a local database, and writing SQL to find what you need. Ev
Markdownify is a Model Context Protocol (MCP) server that converts various file types and web content to Markdown format. It provides a set of tools to transform PDFs, images, audio files, web pages, and more into easily readable and shareable Markdown text. - Convert multiple file types to Markdown: - Audio (with transcription) - Convert web content to Markdown: - YouTube video transcripts - Bing
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
The Odoo MCP that survives Odoo 20. Five-minute install. Zero Odoo-side setup. Safe writes, real diagnostics, JSON-2 ready. Odoo MCP turns any Odoo 16+ database into a Model Context Protocol server — using only your existing credentials. No App Store module, no permission setup, no admin access required. Built for local agents, IDEs, and automation tools that need real Odoo context without hand-ro
Read and write to a Pinecone index. The server implements the ability to read and write to a Pinecone index. - semantic-search: Search for records in the Pinecone index. - read-document: Read a document from the Pinecone index. - list-documents: List all documents in the Pinecone index. - pinecone-stats: Get stats about the Pinecone index, including the number of records, dimensions, and namespace