Discover Awesome MCP Servers

MCP AI Bug Helper

Provides emergency coding assistance by querying three AI coding models simultaneously through OpenRouter, with automatic premium fallback on rate limits, returning multiple expert opinions with cost and latency telemetry for debugging and problem-solving.

Log Analyzer with MCP

Un servidor de Protocolo de Contexto de Modelo que proporciona a los asistentes de IA acceso a los registros de AWS CloudWatch, permitiendo la navegación, búsqueda, resumen y correlación de registros en múltiples servicios de AWS.

spectrawl

Unified web layer for AI agents. Search across 8 engines, stealth browse with Camoufox/Playwright, manage cookie auth, and act on 24 platforms.

Echo MCP

A lightweight server that enables AI agents to emit and validate structured messages through MCP tool call returns. It facilitates reliable programmatic consumption of agent outputs by echoing validated payloads against predefined schemas.

Model Context Protocol (sse) servers

Here are a few ways to translate "Model Context Protocol Servers with SSE" into Spanish, depending on the nuance you want to convey: **Option 1 (Most Literal and General):** * **Servidores de Protocolo de Contexto del Modelo con SSE** This is the most direct translation and is suitable for technical documentation or when you want to be precise. **Option 2 (Slightly More Readable):** * **Servidores de Protocolo de Contexto de Modelo con SSE** This is very similar to the first option, but the slight change in word order might make it flow a bit better for some readers. **Option 3 (Emphasizing the "Model's" Context):** * **Servidores de Protocolo de Contexto del Modelo (con SSE)** This version uses parentheses to emphasize that the context belongs to the model. It's useful if that relationship is important. **Option 4 (Using "Mediante" for "with"):** * **Servidores de Protocolo de Contexto del Modelo mediante SSE** This uses "mediante" which translates to "by means of" or "through" and can be a good alternative to "con" if you want to emphasize the mechanism. **Key Considerations:** * **SSE:** "SSE" (Server-Sent Events) is often left as is in Spanish, as it's a common acronym in the technical field. You *could* translate it to "Eventos Enviados por el Servidor," but it's generally not necessary. * **Context:** The word "contexto" translates directly and works well. * **Protocol:** The word "protocolo" translates directly and works well. * **Model:** The word "modelo" translates directly and works well. * **Servers:** The word "servidores" translates directly and works well. **Recommendation:** For most technical contexts, **"Servidores de Protocolo de Contexto del Modelo con SSE"** is the best and most accurate translation. If you want to emphasize the relationship between the context and the model, use **"Servidores de Protocolo de Contexto del Modelo (con SSE)."**

Telegram MCP Server

Enables interaction with the Telegram Bot API via the Model Context Protocol to send, edit, and delete messages, photos, and videos. It allows Claude to manage Telegram communications and fetch bot updates through natural language commands.

commercetools MCP Essentials

An MCP server that enables AI agents to interact with the commercetools Composable Commerce platform. It provides tools for managing products, categories, orders, carts, and customer data through secure read and write operations.

macOS Calendar MCP Server

A Model Context Protocol server that enables direct integration with macOS Calendar application using AppleScript, allowing users to create, list, and search calendar events without requiring OAuth setup.

MCP Hub

A sophisticated research assistant that orchestrates a 5-step workflow of connected AI agents to provide deep research capabilities including question enhancement, web search, summarization, citation formatting, and result combination.

Google Calendar MCP Server

Enables management of multiple Google Calendar accounts with support for searching, creating, updating, and deleting events on primary calendars through natural language, with encrypted credential storage.

EU AI Act Compliance Chatbot

Un servidor MCP para responder preguntas sobre la Ley de IA original de la UE.

intercept-mcp

Give your AI the ability to read the web. Fetches URLs as clean markdown with 9 fallback strategies.

Mcp Demos

Repositorio de código de ejemplo para la serie de artículos "De los principios a la práctica: Dominando MCP".

Barebones MCP Server

A minimal, dockerized template for creating HTTP-based Model Context Protocol servers. Provides a starting point with FastMCP framework integration and includes a sample cat fact tool that can be replaced with custom functionality.

Bluesky MCP Server

Enables AI agents to interact with Bluesky social network through optimized, token-efficient tools for posting, replying, searching, and managing social relationships. Features Windows-compatible implementation with context cleanup to minimize LLM token consumption.

QMD - Query Markdown

Provides hybrid search over local markdown knowledge bases using BM25 keyword search and vector semantic search. Enables indexing, querying, and retrieving markdown documentation with dual-mode support for local and remote agents.

CATA Bus MCP Server

Provides real-time and scheduled bus data for the Centre Area Transportation Authority (CATA) in State College, PA. Enables users to track live bus positions, get arrival predictions, search stops, view routes, and receive service alerts through natural language queries.

Qwery MCP Server

A search engine for AI agents that enables searching, comparing, and discovering over 500 businesses across 112 categories with structured pricing data. It allows users to filter listings by price, category, and country to find and analyze specific business services.

Facebook Ads MCP Server

Connects AI assistants to Facebook's Ads API to enable natural language queries for campaign data, insights, and performance metrics. It allows users to manage ad accounts and retrieve detailed analytics like impressions, clicks, and spend through MCP-compatible interfaces.

claudeusage-mcp

Provides real-time visibility into Claude Pro and Max subscription usage limits directly within Claude Code by utilizing local OAuth tokens. It enables users to monitor session and weekly usage across different models and receive alerts regarding rate-limiting status.

Dynamic Per-User Tool Generation MCP Server

Enables dynamic generation of tools based on user-specific permissions from an external API. Users receive personalized tools tailored to their access rights, with intelligent caching and graceful fallback to static tools.

iMessage MCP Server

Enables Claude to read and search through iMessage, SMS, and RCS conversations, including mixed-protocol group chats with Android users. It decodes binary message data from the macOS Messages database to provide a comprehensive view of message history.

SiYuan Note MCP Server

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Korea Tourism API MCP Server

Permite a los asistentes de IA acceder a información turística de Corea del Sur a través de la API oficial de la Organización de Turismo de Corea, proporcionando una búsqueda exhaustiva de atracciones, eventos, comida y alojamientos con soporte multilingüe.

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Docker Manager MCP

Enables AI assistants to manage Docker containers, deploy stacks, and monitor services across multiple Docker hosts from one centralized location. Supports container lifecycle management, Docker Compose operations, and infrastructure orchestration through natural language commands.

Abacate Pay MCP Server

Enables integration with Abacate Pay API for managing payments, customers, and billing through AI assistants. Supports multi-tenancy, PIX QR codes, discount coupons, and payment simulation with secure per-request API key authentication.

Slate MCP Server

Connects Technolutions Slate with Claude to query and analyze student enrollment demographics, diversity metrics, and enrollment funnel data through natural language.

code-rag-golang

AI modifies a function but misses 5 callers that also need updating. crag fixes this — it builds precise call graphs via static analysis, so AI knows exactly what's affected before making changes.