Discover Awesome MCP Servers

GitHub MCP Server

A Python-based Model Context Protocol server that provides 87 tools for comprehensive interaction with the GitHub API. It enables AI agents to manage repositories, issues, pull requests, workflows, and projects through automated commands.

CodeBadger

Provides static code analysis using Joern's Code Property Graph technology for 12+ programming languages, enabling code browsing, security taint analysis, call graph exploration, and dataflow tracking through natural language queries.

DiffuGen

Sistema potente de generación de imágenes que aprovecha múltiples modelos de Stable Diffusion (flux-schnell, flux-dev, sdxl, sd3, sd15) para crear imágenes de alta calidad generadas por IA con una personalización precisa.

Memory MCP Server

A lightweight MCP server that provides persistent key-value storage for AI agents using SQLite and Bun. It enables agents to store, retrieve, and manage memories with optional JSON metadata for long-term context retention.

Mem0 MCP Server

Provides long-term memory capabilities for MCP clients by wrapping the Mem0 API, enabling semantic search, storage, retrieval, and management of conversation memories across users and agents.

FigmaMind MCP Server

Extracts components from Figma designs and transforms them into standardized JSON format for easy consumption by AI models and tools for interface reconstruction.

Roam Research MCP Server

A server that enables AI assistants like Claude to interact with Roam Research graphs through a standardized interface, providing comprehensive tools for content creation, search, retrieval, and optional memory management.

Yes or No MCP

A simple MCP server implementation in TypeScript that communicates over stdio, allowing users to ask questions that end with 'yes or no' to trigger the MCP tool in Cursor.

Turbopuffer MCP Server

Enables interaction with the Turbopuffer vector database to manage namespaces and perform operations like data writing, querying, and schema updates. It supports DAuth-style authentication for secure, runtime credential management.

MCP Server Examples

Ejemplos de servidor MCP: Construidos utilizando el SDK de Java MCP puro – No se requiere el framework Spring.

Market Data MCP Server

Enables fetching market and options data including OHLCV prices, option chains, Greeks, and corporate events through a pluggable FastAPI service. Supports creating aligned training datasets for financial analysis and uses yfinance by default with support for custom data providers.

Fathom MCP Server

Enables LLMs to interact with Fathom.video API for managing meeting recordings, retrieving transcripts and AI-generated summaries, searching meeting content, and accessing analytics and team data.

MCP Product Management System

A comprehensive Model Context Protocol (MCP) server for product inventory management with PostgreSQL database backend, enabling natural language queries for product information across multiple AI platforms.

Memory MCP Server

Exposes local persistent memory as an MCP server with Markdown storage, PARA organization, Zettelkasten linking, and SQLite FTS5 search. Enables Claude and other MCP-compatible agents to store, organize, and retrieve knowledge with context-based recommendations through the Olima association engine.

JSON MCP Server

Provides powerful JSON manipulation tools through Model Context Protocol, enabling complex queries, schema generation, and validation with jq notation and native Node.js operations.

Database MCP Server

Provides universal database operations for AI assistants through MCP, supporting 40+ databases including PostgreSQL, MySQL, MongoDB, Redis, and SQLite with built-in introspection tools for schema exploration.

Screen Agent

A Windows desktop automation MCP server that enables UI recognition through OCR, UIA controls, and multi-point color matching. It allows agents to interact with desktop applications via actions like clicking and typing while using a learning system to track and improve operation success.

MCP Servers

Here are a few ways to translate "MCP Servers for dev work" into Spanish, depending on the specific nuance you want to convey: **Option 1 (Most Direct):** * **Servidores MCP para trabajo de desarrollo** * This is a very literal translation and is perfectly understandable. "Trabajo de desarrollo" is a common and clear way to say "dev work." **Option 2 (Slightly More Natural):** * **Servidores MCP para desarrollo** * This is a bit more concise and sounds slightly more natural in Spanish. The context makes it clear that "desarrollo" refers to development work. **Option 3 (Emphasizing the Purpose):** * **Servidores MCP para tareas de desarrollo** * This emphasizes the *tasks* involved in development. **Option 4 (If you mean "development environment"):** * **Servidores MCP para entorno de desarrollo** * This translates to "MCP Servers for development environment." Use this if you're talking about servers specifically set up as a development environment. **Which one should you use?** * **Option 1 or 2 are generally the best choices.** They are clear, accurate, and commonly used. * Use **Option 3** if you want to specifically highlight the *tasks* involved. * Use **Option 4** only if you are specifically referring to a development *environment*. Therefore, I recommend: **Servidores MCP para trabajo de desarrollo** or **Servidores MCP para desarrollo**

agentfolio-mcp-server

MCP server for AgentFolio — the identity and reputation layer for AI agents. Query agent profiles, trust scores, verification status, and marketplace listings through 8 MCP tools.

MCP Strapi Server

Enables CRUD operations, content management, and media handling for any Strapi content type through standardized tools. Supports internationalization, schema management, and works with Strapi v5's API.

Medicare MCP Server

Provides comprehensive access to CMS Medicare data including physician services, prescriber information, hospital quality metrics, drug spending, formulary coverage, and ASP pricing for healthcare analysis and decision-making.

Google Slides MCP Server

Enables interaction with Google Slides presentations through OAuth2 authentication. Supports creating new slides, adding rectangles, and managing presentation content through natural language commands.

Docker MCP Server

Enables AI assistants to interact with Docker containers through safe, permission-controlled access to inspect, manage, and diagnose containers, images, and compose services with built-in timeouts and AI-powered analysis.

Pagila MCP

A read-only Model Context Protocol server developed with FastMCP for querying the Pagila PostgreSQL database. It enables secure access to movie rental data including films, actors, and customer information through natural language queries.

OfficeRnD MCP Server

A read-only MCP server that connects AI assistants to the OfficeRnD coworking and flex-space management platform. It enables natural language queries for community members, space bookings, billing records, and office resources.

PDFSizeAnalyzer-MCP

Enables comprehensive PDF analysis and manipulation including page size analysis, chapter extraction, splitting, compression, merging, and conversion to images. Provides both MCP server interface for AI assistants and Streamlit web interface for direct user interaction.

Semrush Keyword Magic Tool MCP Server

Enables access to Semrush Keyword Magic Tool API for SEO keyword research, including keyword overview analysis, finding millions of keyword suggestions, and discovering question-based keywords across different countries and languages.

DALL-E MCP Server

Enables AI assistants to generate high-quality images using OpenAI's DALL-E 3 model with configurable parameters like size, quality, and style. Generated images are automatically saved to the local filesystem with comprehensive error handling.

OpenSearch MCP Server

Enables LLMs to interact with OpenSearch clusters to monitor cluster health, manage indices, and perform data searches. It provides a standardized interface for real-time OpenSearch operations within MCP-compatible environments like Open WebUI.

GitHub Summary MCP

Generates daily GitHub work summaries by analyzing commits across all repositories a user owns or contributes to. It provides tools to fetch today's commit activity and deduplicate repository-specific updates for easy reporting.