Discover Awesome MCP Servers

API to MCP Gateway

Acts as a bridge between standard REST/OpenAPI web APIs and the Model Context Protocol, dynamically converting REST endpoints into MCP tools for LLM clients like Cursor, Claude Desktop, and n8n.

OpenAlex MCP Server

Enables AI agents to search and analyze OpenAlex scholarly database for OSINT research, including works, authors, institutions, funding, citations, and collaboration networks.

iris

Enables AI agents to create, list, update, and delete Microsoft 365 email drafts, with a hard guarantee that no message can be sent automatically, ensuring human review before any email goes out.

Valkey MCP Task Management Server

Enables AI agents to create, manage, and track tasks within plans using Valkey as the persistence layer. Supports plan and task management with Markdown notes, status tracking, and prioritization through multiple transport protocols (SSE, Streamable HTTP, STDIO).

nist-rag-mcp-server

A local FastMCP STDIO server exposing two tools (ask_nist_rag and get_nist_visual) and one read-only resource (nist://visuals/catalog) that provides grounded question answering over NIST AI RMF documents using local RAG with selective OCR, hybrid retrieval, and verified visual figure retrieval.

Pagos Data MCP Server

Enables Claude to retrieve BIN (Bank Identification Number) data for payment cards, with options for basic or enhanced insights through the Pagos API.

ts-mcp-durable-browser-automation

MCP server for robust browser automation of legacy web portals, featuring exactly-once execution via an SQLite-backed idempotency lock and resilient Playwright locators.

PureContext MCP

Indexes codebases and lets AI agents retrieve precise code snippets (functions, classes, routes) instead of reading entire files, reducing token usage and improving accuracy.

Outlook MCP Server

Provides programmatic access to Microsoft Outlook mailboxes, enabling AI assistants to search, analyze, and extract insights from emails in personal and shared mailboxes.

x-mcp-server

Enables AI assistants to interact with X (Twitter) API v2 for posting tweets, searching, liking, retweeting, and more through natural language.

strava-mcp

Enables full integration with Strava API v3 for managing activities, athletes, clubs, segments, and routes through MCP-compatible clients like Claude Desktop.

Google Health MCP

A local-first MCP server that enables AI agents to read user-authorized Google Health API v4 data from Fitbit, Pixel Watch, and partners via OAuth, with tokens never leaving the machine.

MCP Web Extractor

Okay, here's a translation of "MCP server that extracts web content using Readability.js" into Spanish, with a few options depending on the nuance you want to convey: **Option 1 (Most Direct):** * **Servidor MCP que extrae contenido web usando Readability.js** * This is a very literal translation and perfectly understandable. **Option 2 (Slightly More Natural):** * **Servidor MCP para extraer contenido web con Readability.js** * This uses "para" (for) which can sound a bit more natural in some contexts. **Option 3 (Emphasizing Functionality):** * **Servidor MCP que se encarga de extraer contenido web mediante Readability.js** * This uses "se encarga de" (is in charge of) and "mediante" (by means of) to emphasize the server's role and the method used. **Explanation of Terms:** * **MCP Server:** "Servidor MCP" is a direct translation and generally understood. If you need to be *extremely* clear, you could say "Servidor MCP (Message Control Protocol)" the first time you use it, but it's likely unnecessary. * **Extracts web content:** "Extrae contenido web" is the standard translation. * **Using Readability.js:** "Usando Readability.js" is perfectly fine. "Con Readability.js" (with Readability.js) is also common. "Mediante Readability.js" (by means of Readability.js) is more formal. **Recommendation:** I would recommend **Option 1: Servidor MCP que extrae contenido web usando Readability.js** as the most straightforward and generally applicable translation. If you want to emphasize the server's function, **Option 3** is a good choice.

ScarletPlan

Local-first Rutgers course planning assistant that answers 'what should I take and when?' using a CP-SAT solver, real transcript data, and live SOC data, connected to Claude via MCP.

weather-mcp

Multi-tenant MCP server for OpenWeather One Call API 4.0, providing weather data, alerts, and management tools with Vault/Postgres persistence and tenant scoping.

Odoo MCP Server

Enables AI assistants to interact with Odoo ERP systems, allowing operations like searching employees, managing holidays, and executing custom methods on Odoo models via XML-RPC.

Ariel

Ariel is an MCP server that exposes AT Protocol (Bluesky) operations as tools, enabling AI assistants to read, write, and interact on Bluesky with human-in-the-loop control.

AFSIM MCP Server

Enables LLMs and AI agents to interact with AFSIM through standardized MCP tools for scenario management, entity/component control, simulation execution, and results analysis.

baramundi MCP Server

MCP Server für das baramundi Management Center. Erlaubt Claude, Geräte abzufragen, Jobs zu starten und Compliance-Reports zu generieren.

EIA MCP Server

A FastMCP server that wraps the U.S. Energy Information Administration Open Data API v2, enabling natural-language queries for electricity, petroleum, and other energy statistics via tools like discover_eia_route and get_eia_data.

apc-mcp

apc-mcp is a Model Context Protocol server that brings audio plugin development workflows into any MCP-compatible client by wrapping CMake, ctest, clang-format, pluginval, and clap-validator into a clean tool interface for building, testing, linting, validating, and scaffolding JUCE, CLAP, VST3, and ARA plugin projects.

ERPNext MCP Server

A production-ready server that enables AI assistants like Claude Desktop to seamlessly integrate with ERPNext for document operations, reporting, and custom workflows through natural language interaction.

sernobre-moodle-mcp

MCP server for Moodle that lets AI agents publish and manage pedagogical content — courses, lessons, quizzes, forums — via Moodle Web Services with idempotency.

YouTube Knowledge MCP

Transforms YouTube into a queryable knowledge source with search, video details, transcript analysis, and AI-powered tools for summaries, learning paths, and knowledge graphs. Features quota-aware API access with caching and optional OpenAI/Anthropic integration for advanced content analysis.

Fiji MCP Server

Enables AI agents to control Fiji/ImageJ for microscopy image analysis through natural language commands, supporting operations like image opening, filtering, particle analysis, and automated workflows.

Librarian

Provides AI agents with persistent knowledge storage, enabling them to store, search, and retrieve text, documents, and files using semantic and keyword search via MCP tools.

Weather MCP Server

Provides current weather data and hourly forecasts for any location worldwide using the Open-Meteo API, accessible through HTTP transport without requiring an API key.

MCPGex

Enables LLMs to systematically develop and validate regex patterns by defining test cases with expected matches, testing patterns against them, and iteratively refining until all requirements are satisfied.

Google Search Console MCP Server

Enables AI agents to query Google Search Console data including search analytics, URL inspection, sitemap management, and site performance monitoring, with per-user OAuth authentication.

Mnemom

Provides trust infrastructure for AI agents by enabling reputation lookup, website trust scanning, and identity verification via MCP tools.