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.
1041 servers
An MCP server that enables AI agents to control web browsers using browser-use. - uv - Fast Python package manager - Playwright - Browser automation - mcp-proxy - Required for stdio mode Create a .env file: - [x] Browser Automation: Control browsers through AI agents - [x] Dual Transport: Support for both SSE and stdio protocols - [x] VNC Streaming: Watch browser automation in real-time - [x] Asyn
The only MCP server that edits Word documents while they're open Live editing · Tracked changes · Per-action undo · 114 tools · Cross-platform word-mcp-live gives any AI assistant that supports MCP full control of Microsoft Word. Open a document, tell the AI what you need, and watch it happen — formatting, tracked changes, comments, and all. Changes appear live in your
Cognitive browser automation with 91 MCP tools. AI-friendliness audits, persona testing, empathy audits, WebMCP readiness. USE WHEN browser automation, screenshot, agent-ready audit, ai-benchmark, empathy audit, webmcp-ready, hunt bugs, cognitive journey, persona comparison, visual regression, cross-browser test.
A Model Context Protocol server for Zotero integration. It gives any LLM full access to your Zotero library: search, organize, add papers by DOI, import PDFs, read full-text content, and inject live citations into Word documents. The server is designed to be usable by any LLM without external documentation. On connection, it sends workflow instructions via the MCP instructions field, and each tool
Let AI agents see, understand, and interact with your React Native app running on Android emulator or iOS simulator — through a single MCP server. Point your MCP client at this server and an agent can connect to your app, read logs, inspect the UI, tap buttons, type text, scroll, take screenshots, and reload — all without leaving the conversation. - Android + iOS — one server handles both platform
An MCP Server implementation that integrates the Brave Search API, providing, Web Search, Local Points of Interest Search, Video Search, Image Search and News Search capabilities - Web Search: Perform a regular search on the web - Image Search: Search the web for images. - News Search: Search the web for news - Video Search: Search the web for videos - Local Points of Interest Search: Search for l
A collection of AI agents for various tasks. Welcome to the agents repository! This project contains various AI agent definitions. The definitions can be used by any agentic system that supports markdown. An MCP (Model Context Protocol) server that delivers AI agent instructions on demand from this repository's collection of 42+ specialized agents. The server exposes 3 MCP tools: List all availabl
An MCP server for tracking Binance Alpha trades, helping AI agents optimize alpha point accumulation. - Real-time Trade Monitoring: Track buy-side activity for Binance Alpha tokens by Subscribing to on-chain events. - USD-based Metrics: Calculates trade values in USD using real-time prices from the CryptoCompare. - Data Persistence: Maintains trade data in memory, with automatic cleanup of records
A Model Context Protocol (MCP) server that provides access to Fantasy Premier League (FPL) data and tools. This server allows you to interact with FPL data in Claude for Desktop and other MCP-compatible clients. Demo of the Fantasy Premier League MCP Server in action - Claude Desktop - Other MCP Compatible Desktop LLMs Mobile is currently not supported. - Rich Player Data: Access comprehensive pla
An MCP server implementation that integrates the Brave Search API, providing comprehensive search capabilities including web search, local business search, image search, video search, news search, and AI-powered summarization. This project supports both STDIO and HTTP transports, with STDIO as the default mode. To follow established MCP conventions, the server now defaults to STDIO. If you would l
The goal of this MCP is to: - Consolidate ESP-IDF and related project commands in one place. - Simplify getting started using only LLM communication. Simply find a command that is missing from this MCP and create a PR for it! If you want someone to help you with this implementation, just open an issue. This project is currently a Proof of Concept (PoC) for an MCP server tailored for ESP-IDF workfl
OpenEcon Data Give your AI agent accurate economic data. 330K indicators from FRED, World Bank, IMF, Eurostat, and 6 more sources — one MCP command away. Website · Live App · Docs · Contributing That's it. The script auto-detects Claude Code and Codex, configures everything. Then just ask: No special syntax. No "use querydata". Just ask naturally — your agent handles the rest.
MCP Server Playwright A Model Context Protocol server that provides browser automation capabilities using Playwright Enable LLMs to interact with web pages, take screenshots, and execute JavaScript in a real browser environment - Installation - Configuration - Components - Resources - 🌐 Full browser automation capabilities - 📸 Screenshot capture of entire pages or specific elements - 🖱️ Compreh
SSH MCP is an MCP server that runs locally on your host that provides the ability to manage and interact with remote SSH hosts. It supports organizing hosts into groups and executing commands across multiple hosts simultaneously. - addhost - Adds a new Linux or Windows host to the SSH configuration with automatic OS detection. Username and password are optional in the connection string - if not pr
What is GitMCP • Features • Getting Started • How It Works • Examples • Contributing • Stop vibe-hallucinating and start vibe-coding! GitMCP is a free, open-source, remote Model Context Protocol (MCP) server that transforms any GitHub project (repositories or GitHub pages) into a documentation hub. It enables AI tools like Cursor to access up-to-date documentation and code, even if the LLM has nev
A Model Context Protocol (MCP) server that provides AI assistants with access to Reddit data. Built on top of redd — no API keys required. 1. Features 2. Quick Start 3. Available Tools 4. Configuration 5. Architecture 6. Contributing - Search — Search all of Reddit or within a specific subreddit - Subreddit Posts — Browse hot, top, new, or rising posts from any subreddit - Post Details —
An MCP (Model Context Protocol) server that captures screenshots of web pages using Puppeteer. This server allows AI agents to visually verify web applications and see their progress when generating web apps. - Full page screenshots: Capture entire web pages or just the viewport - Element screenshots: Target specific elements using CSS selectors - Multiple formats: Support for PNG, JPEG, and WebP
An OpenStreetMap MCP server implementation that enhances LLM capabilities with location-based services and geospatial data. - osm-mcp-server: The main server, available for public use. This server provides LLMs with tools to interact with OpenStreetMap data, enabling location-based applications to: - Geocode addresses and place names to coordinates - Reverse geocode coordinates to addresses - Find
Multi-Agent Collaboration Protocol for coordinated AI software development. Think Obsidian for your AI agents - a living knowledge graph where multiple AI agents collaborate through shared context, intelligent task management, and real-time visualization. Watch your codebase evolve as specialized agents work in parallel, never losing context or stepping on each other's work. Beyond the philosophic
Using ffmpeg command line to achieve an mcp server, can be very convenient, through the dialogue to achieve the local video search, tailoring, stitching, playback and other functions The server implements the following tools: - findvideopath The parameters are directory and file name, file name can be complete, or is not suffixed, recursive search in the directory, return the full path - getvideoi
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
ntfy-me-mcp provides AI assistants with the ability to send real-time notifications to your devices through the ntfy service (either public or selfhosted with token support). Get notified when your AI completes tasks, encounters errors, or reaches important milestones - all without constant monitoring. The server includes intelligent features like automatic URL detection for creating view actions
Dependency intelligence infrastructure for AI assistants and agents working with JVM projects. Traditional upgrade workflow: 1. Google "Spring Boot 2.7 to 3.2 migration guide" (5 minutes) 2. Read 50-page migration docs, cross-reference breaking changes (15 minutes) 3. Check Maven Central for compatible dependency versions (5 minutes) 4. Update pom.xml, compile, fix breaking changes (30 minutes) 5.
An MCP (Model Context Protocol) server that brings authoritative medical information into AI coding environments like Cursor and Claude Desktop. - 🔒 Your Data Never Leaves – Runs 100% locally; no tracking, no logs, no cloud - 🆓 No API Keys – Works out of the box, zero configuration - 🏥 Authoritative Sources – FDA, WHO, PubMed, RxNorm, Google Scholar, AAP, pediatric journals - ⚡ Easy Setup – One