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.
1088 servers
A Model Context Protocol (MCP) server enabling AI agents to query information about dependencies in a Ruby project's Gemfile. Built with fast-mcp. Install the gem and add to the application's Gemfile by executing: 1. Generate the binstub: 2. Configure your client to execute the binstub. Here are examples that work for Claude and Cursor: Available on RubyDoc The server provides two tools for AI age
An MCP (Model Context Protocol) server that connects Claude with Todoist for complete task and project management through natural language. 1. Download todoist-mcp.mcpb from the latest release 2. Double-click the file (or drag onto Claude Desktop) 3. Enter your Todoist API token when prompted 4. Start chatting: "Show me my Todoist projects" Manual JSON configuration Add to your MCP client config (
Simple MCP Server to enable a human-in-the-loop workflow in tools like Cline and Cursor. This is especially useful for developing desktop applications that require complex user interactions to test. For the best results, add the following to your custom prompt: This will ensure Cline uses this MCP server to request user feedback before marking the task as completed. Hitting Save Configuration crea
An MCP server that provides full text search for code declarations. Uses SQLite with FTS5 and universal ctags to index and search functions, classes, structures, enums, and other code elements. Supports all languages that ctags supports including Python, C, Go, C++, JavaScript, Rust, Java, and many others. - Python 3.13 - Universal Ctags 6.2.0 - SQLite with FTS5 support (included in Python 3.13) J
A MCP server to connect to wolfram alpha API. This is analogous to the !wa bang in duckduckgo search. Query Wolfram Alpha api. You must set the WOLFRAMAPIKEY environment variable. Get an api ket from Wolfram Alpha. This was tested with the full results API, but it might not be required. Since the official MCP inspector does not have good environment support, I reccommend using wong2's mcp-cli-insp
A Model Context Protocol (MCP) server that provides tools for fetching information from Hacker News. - getstories Fetching (top, new, askhn, showhn) stories - getstoryinfo Fetching comments associated with a story - searchstories Searching for stories by query - getuserinfo Fetching user info Use prompts like the following: A more detailed example with the puppeteer MCP server: To install Hacker N
if macbook or linux If the network is slow, you can set up a domestic mirror source. Method 1: On the setting page of cherry-studio, click on the MCP server, then click "Add Server", and subsequently configure it on the page. Method 2: Use the configuration parameters
A Model Context Protocol (MCP) server for interacting with GitLab merge requests and issues. This project implements a server using the Model Context Protocol (MCP) that allows AI agents to interact with GitLab repositories. It provides tools for: - Listing available GitLab projects - Fetching merge request details and comments - Getting merge request diffs - Adding comments to merge requests - Ad
MCP server for the Urlbox Screenshot API. Enables your client to take screenshots, generate PDFs, extract HTML/markdown, and more from websites. Visit Urlbox for more information, and have a read of our docs or chat with your LLM post install to get a good understanding of its options and capabilities. 1. Install dependencies and build: 2. Get Urlbox API credentials: - Sign up at urlbox.com - Get
This MCP server integrates with Google Tasks to allow listing, reading, searching, creating, updating, and deleting tasks. - Search for tasks in Google Tasks - Input: query (string): Search query - Returns matching tasks with details - List all tasks in Google Tasks - Optional input: cursor (string): Cursor for pagination - Returns a list of all tasks - Create a new task in Google Tasks - taskList
A Model Context Protocol (MCP) server for querying NIST National Vulnerability Database (NVD) API endpoints. This MCP server exposes tools to query the NVD/CVE REST API and return formatted text results suitable for LLM consumption via the MCP protocol. It includes automatic query chunking for large date ranges and parallel processing for improved performance. Base API docs: https://nvd.nist.gov/d
JupyterMCP connects Jupyter Notebook to Claude AI through the Model Context Protocol (MCP), allowing Claude to directly interact with and control Jupyter Notebooks. This integration enables AI-assisted code execution, data analysis, visualization, and more. This tool is compatible ONLY with Jupyter Notebook version 6.x. It does NOT work with: - Jupyter Lab - Jupyter Notebook v7.x - VS Code Noteboo
MCP Server for the National Park Service (NPS) API, providing real-time information about U.S. National Parks, including park details, alerts, and activities. 1. findParks - Search for national parks based on various criteria - stateCode (optional string): Filter parks by state code (e.g., "CA" for California). Multiple states can be comma-separated (e.g., "CA,OR,WA") - q (optional string): Search
Transform your AI assistant into a Dutch railways expert! This MCP server connects Claude to real-time NS (Nederlandse Spoorwegen) travel information, making it your perfect companion for navigating the Netherlands by train. You can install this server in three ways: Update your Claude configuration file (~/Library/Application Support/Claude/claudedesktopconfig.json): You can get an API key from N
An unofficial Model Context Protocol (MCP) server for interacting with PayPal Braintree payment processing services. This project is available under the MIT License with an Academic Citation Requirement. This means you can freely use, modify, and distribute the code, but any academic or scientific publication that uses this software must provide appropriate attribution. If you use this software in
A Model Context Protocol (MCP) server that identifies resource-intensive processes on macOS across CPU, memory, and network usage. MacOS Resource Monitor is a lightweight MCP server that exposes an MCP endpoint for monitoring system resources. It analyzes CPU, memory, and network usage, and identifies the most resource-intensive processes on your Mac, returning data in a structured JSON format. -
This is a Model Context Protocol (MCP) server that provides access to Azure Resource Graph queries. It allows you to retrieve information about Azure resources across your subscriptions using Resource Graph queries. - Query Azure resources using Resource Graph queries - Default query returns resource ID, name, type, and location - Supports custom Resource Graph queries - Uses Azure DefaultAzureCre
MCP server that gives LLMs access to real-time Brazilian agricultural data — prices, crop estimates, climate, deforestation and more from 10 public sources. Add to claudedesktopconfig.json: Settings > MCP Servers > Add: Add to claudedesktopconfig.json: 10 tools available out of the box: agrobr-mcp is a thin wrapper. All data logic lives in the agrobr library. Servidor MCP que dá acesso a dados agr
Production-Ready Model Context Protocol (MCP) server that enables AI assistants to fully interact with console applications, monitor output, detect errors, and automate terminal workflows - similar to how Playwright works for web browsers. This server is fully production-ready with: - ✅ No native compilation required (removed node-pty dependency) - ✅ Full cross-platform support (Windows, macOS, Li
This Model Context Protocol(MCP) server enables Large Language Models (LLMs) to make drawings using JavaFX primities. The server is implemented using Quarkus MCP and JavaFX. Initial idea and implementation is from @konczdev See video here. 1. Install jbang 2. Configure your MCP Client to run the server as jbang jfx@quarkiverse/quarkus-mcp-servers (see Claude Desktop Config below) Add this to your
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 —
A Model Context Protocol (MCP) server for converting Markdown content to interactive mindmaps. Or using uvx: Or using docker safer and easier. Three installation methods have been successfully tested on macOS and Linux. For Windows users experiencing issues with npx for this MCP, consider using the Docker method. Alternatively, if you use Visual Studio Code, the "Markmap" extension offers a potent
This skill should be used when the user asks to "generate documentation", "document this project", "create docs", "write documentation", "update documentation", "document all APIs", "generate onboarding docs", "create developer docs", or needs comprehensive codebase documentation. Orchestrates parallel AI agents to analyze code and produce documentation files.
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