Discover Awesome MCP Servers

GitHub Configuration

Un servidor de Protocolo de Contexto de Modelo (MCP) para la aplicación de gestión de tareas TickTick.

MCP-Foundry

MCP Foundry

makefilemcpserver

An MCP server that exposes Makefile targets as callable tools for AI assistants, allowing Claude and similar models to execute Make commands with provided arguments.

Pilldoc User MCP

Provides access to pharmaceutical management system APIs including user authentication, pharmacy account management, and advertising campaign controls. Enables querying pharmacy information, updating account details, and managing ad blocking through natural language interactions.

HubAPI Auth MCP Server

An MCP server for interacting with HubSpot's authentication API, enabling secure authentication and authorization operations through natural language.

A2AMCP

A Redis-backed MCP server that enables multiple AI agents to communicate, coordinate, and collaborate while working on parallel development tasks, preventing conflicts in shared codebases.

Anki MCP Server

Enables interaction with the Anki desktop app for spaced repetition learning. Supports reviewing due cards, creating new flashcards, and managing study sessions through natural language commands.

grasp

Self-hosted Browser Using Agent with built-in MCP, A2A support.

Knowledge Tools Mcp

Un servidor MCP para interactuar con varias aplicaciones de investigación y toma de notas.

PDF MCP Flow

Enables AI-driven PDF document processing including PDF to Markdown conversion, intelligent text and table extraction, image extraction, format conversion between PDF/Word/Markdown, batch processing, and fuzzy search - optimized for LLM context and RAG workflows.

MCP TS Toolkit

A comprehensive MCP server providing secure tools for filesystem operations, Git management, web search, document conversion, npm/.NET project management, and AI generative capabilities (image/video/audio generation and processing) via PiAPI.ai integration.

Cross-System Agent Communication MCP Server

Espejo de

Jinko

Jinko

Instagram DM MCP Server

Enables sending and receiving Instagram Direct Messages, managing conversations, downloading media, viewing user profiles and stories, and interacting with posts through natural language in Claude.

Ixnetwork Mcp

Servidor MCP para la gestión de sesiones de IxNetwork.

Local MCP-Server-with-HTTPS-and-GitHub-OAuth

Este proyecto es un servidor MCP seguro construido con Node.js y Express. Cuenta con cifrado HTTPS utilizando certificados autofirmados, autenticación OAuth de GitHub y medidas de seguridad adicionales como limitación de velocidad y protección de encabezados HTTP.

TopicLake Insights FedPolicy

Federal Agency Rules and Executive Actions

code-rules-mcp

Here are a few ways to translate "MCP server for reliably reading code rules into Agentic AI context" into Spanish, with slightly different nuances: * **Opción 1 (Más directa):** Servidor MCP para leer de forma fiable reglas de código en el contexto de IA Agéntica. * **Opción 2 (Enfatizando la fiabilidad):** Servidor MCP para la lectura fiable de reglas de código en el contexto de IA Agéntica. * **Opción 3 (Usando "incorporar" para "reading into"):** Servidor MCP para incorporar de forma fiable reglas de código al contexto de IA Agéntica. * **Opción 4 (Más descriptiva):** Servidor MCP para la lectura e integración fiable de reglas de código en el contexto de la IA Agéntica. **Breakdown of the choices:** * **MCP Server:** "Servidor MCP" is a direct translation and likely the best choice if "MCP" is a well-known acronym in your target audience. If not, you might need to explain what MCP stands for. * **Reliably reading:** "Leer de forma fiable" and "Lectura fiable" are both good options. The first is more active, the second more passive. "Incorporar de forma fiable" is also a good option if you want to emphasize the integration aspect. * **Code rules:** "Reglas de código" is the standard translation. * **Agentic AI context:** "Contexto de IA Agéntica" is a direct translation and generally understood. **Recommendation:** I would recommend **Opción 2: Servidor MCP para la lectura fiable de reglas de código en el contexto de IA Agéntica.** It's concise, accurate, and emphasizes the reliability aspect. However, if you need to emphasize the integration of the rules, **Opción 3** is a good alternative.

MCP Server for YouTube Transcript API

Here are a few ways to translate "MCP SERVER IMPLEMENTATION FOR YOUTUBE INTEGRATION," depending on the specific context: **Option 1 (Most General):** * **Implementación de un servidor MCP para la integración con YouTube.** * This is a straightforward and generally applicable translation. **Option 2 (More Technical, Emphasizing the "How"):** * **Implementación de un servidor MCP para integrar YouTube.** * This is a more concise and technical translation. **Option 3 (Emphasizing the Purpose):** * **Implementación de un servidor MCP para la integración de YouTube.** * This translation emphasizes the purpose of the MCP server implementation, which is to integrate with YouTube. **Option 4 (If "MCP" is a well-known acronym in the Spanish-speaking context):** * **Implementación de un servidor MCP para integración con YouTube.** * If "MCP" is commonly understood, you can leave it as is. **Which option is best depends on the audience and the specific context of the text.** If you can provide more context, I can give you a more precise translation. For example: * **Who is the audience?** (Technical developers? General users?) * **What is the overall topic of the document/conversation?** * **Is "MCP" a known acronym in the target audience?** Without more context, I recommend using **Option 1: Implementación de un servidor MCP para la integración con YouTube.** as it is the most generally applicable and understandable.

MCP RSS

Enables intelligent RSS feed management with AI-powered semantic search, advanced filtering, and a comprehensive reading workflow. Supports OPML parsing, article organization with status tracking, and token-efficient browsing of large feed collections.

7pace Timetracker MCP Server

Enables intelligent time tracking for Azure DevOps work items through natural language commands in AI assistants, integrating directly with 7pace Timetracker API for seamless worklog management and reporting.

Excel MCP Server

Enables AI agents to create, read, and modify Excel workbooks without requiring Microsoft Excel, supporting operations like formulas, charts, pivot tables, formatting, and data validation.

Implore MCP

Enables AI assistants to request human input through interactive GUI dialogs with quiz-style questions, supporting multiple choice and free-form responses for clarification, decisions, and knowledge extraction.

Obsidian MCP Server

Connects AI assistants directly to Obsidian vaults with intelligent note creation using templates, semantic search, smart tagging to avoid duplicates, and specialized agent roles (Guardian, Researcher, Connection Weaver) for managing knowledge bases.

Component Library MCP Server

Provides AI assistants with access to private React component library documentation, props, and code examples through type-safe TypeScript integration.

InstantDB MCP Server

A read-only interface for querying InstantDB that dynamically loads schemas and enables executing queries through pre-defined patterns.

Apifox MCP

Enables AI assistants to automatically manage Apifox API documentation by importing OpenAPI/Swagger specifications and exporting existing API structures. Supports batch operations, intelligent deprecation marking, and smart scope detection for partial module imports.

GMS2 MCP Server

An MCP server that parses GameMaker Studio 2 projects, providing developers and AI agents with quick access to project structure, GML code, and asset metadata.

MCP Server TypeScript Starter

A Model Context Protocol (MCP) server that provides location services

Devpipe MCP Server

Enables AI assistants to interact with devpipe, a local pipeline runner, allowing them to list tasks, run pipelines, validate configurations, debug failures, analyze security findings, and generate CI/CD configs through natural language.