Discover Awesome MCP Servers
Extend your agent with 84,517 capabilities via MCP servers.
- All84,517
- Developer Tools3,867
- Search1,714
- Research & Data1,557
- AI Integration Systems229
- Cloud Platforms219
- Data & App Analysis181
- Database Interaction177
- Remote Shell Execution165
- Browser Automation147
- Databases145
- Communication137
- AI Content Generation127
- OS Automation120
- Programming Docs Access109
- Content Fetching108
- Note Taking97
- File Systems96
- Version Control93
- Finance91
- Knowledge & Memory90
- Monitoring79
- Security71
- Image & Video Processing69
- Digital Note Management66
- AI Memory Systems62
- Advanced AI Reasoning59
- Git Management Tools58
- Cloud Storage51
- Entertainment & Media43
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- Location Services35
- Web Automation & Stealth32
- Media Content Processing32
- Calendar Management26
- Ecommerce & Retail18
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- Customer Data Platforms16
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- Home Automation & IoT13
- Web Search Integration12
- Health & Wellness10
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- Marketing9
- Games & Gamification8
- Google Cloud Integrations7
- Art & Culture4
- Language Translation3
- Legal & Compliance2
WhatsApp Business API MCP Server
An MCP (Multi-Agent Conversation Protocol) Server that enables interaction with the WhatsApp Business API, allowing agents to send messages, manage media, and perform other WhatsApp business operations through natural language.
Laravel MCP Server
Exposes Laravel development tools (artisan, migrations, config, schema, logs) as MCP tools for use with compatible clients.
Text Analyzer
Provides comprehensive text analysis capabilities including character counting, word statistics, character type analysis, and text length validation for Korean and English text. Supports AI agents in analyzing and validating text content with detailed statistics and Unicode support.
mcp-bart
Provides real-time San Francisco Bay Area Rapid Transit data, enabling queries about BART schedules, routes, and station information through natural language.
MCP Learning Server (mcp-intro)
This MCP server exposes programming topic data and tools (search, practice suggestions) to help AI agents answer study questions, like 'How to study Python decorators?'.
ABACUS MCP Server
Enables first-principles calculations (SCF, structure optimization, molecular dynamics, etc.) for quantum chemistry and materials science using ABACUS, with intelligent parameter suggestions and result analysis through natural language.
Fund MCP Server
A Model Context Protocol server that provides access to a fund knowledge base. Enables users to query and interact with financial fund information through natural language.
tymewear-mcp
Connects Claude to Tyme Wear's breathing sensor platform to analyze ventilatory data, activities, thresholds, and training zones.
Labamu MCP Server
Enables AI assistants like Claude to securely interact with Labamu's Material Resource Planning (MRP) and business APIs for inventory, vendor, batch, product, and invoice management through the Model Context Protocol.
ICE Locator MCP Server
Enables searching for ICE detainee locations using AI-powered natural language queries, with support for bulk operations, multilingual searches, and legal report generation for families and legal representatives.
Branch Thinking
Un servidor MCP que permite gestionar múltiples líneas de pensamiento con funciones como la navegación entre ramas, referencias cruzadas entre pensamientos relacionados y la generación de ideas a partir de puntos clave.
Gemini MCP Server
Provides access to Google's Gemini API for multi-turn conversations and image generation using Nano Banana, serving as a drop-in alternative to Codex MCP.
Horoscope MCP Server
Un servidor de Protocolo de Contexto de Modelo que proporciona lecturas diarias de horóscopo y adivinación para los 12 signos del zodiaco en múltiples rangos de tiempo (hoy, mañana, semana, mes).
MCP Server - VMS Integration
Enables interaction with CCTV recording systems (VMS) to retrieve live and recorded video streams, control cameras with PTZ presets, and manage playback dialogs for specific channels and timestamps.
Google Services MCP Server
Provides access to Google Sheets, Gmail, and Google Calendar through 13 tools that enable reading/writing spreadsheet data, managing emails, and creating/updating calendar events.
@lmdat/cafef-financial-mcp
MCP server to fetch Vietnamese corporate financial reports (balance sheet, income statement, cash flow) from cafef.vn using public API, no PDF or OCR needed.
Spire.XLS MCP Server
A robust solution that enables AI agents to create, read, modify, and convert Excel files through the Model Context Protocol without requiring Microsoft Office installation.
Office AI Blueprint MCP Server
A connector that surfaces ~50 tools from 10+ integrated business systems (CRM, finance, support) via MCP, enabling an AI assistant to securely query and operate on correlated office data.
embgrep
Provides local semantic search over files using embeddings, enabling directory indexing and natural language queries without external services.
Offendersearch MCP Server
Enables searching all US sex-offender registries from any MCP client, returning scored, de-duplicated records with provenance and per-registry status.
MCP Kali Server
Connects AI assistants to 55+ Kali Linux security tools for automated CTF solving, penetration testing, and security analysis across 7 categories including cryptography, forensics, web security, and binary exploitation.
ChargeNow MCP Server
Servidor MCP para encontrar puntos de recarga ChargeNow para vehículos eléctricos.
BeatAPI Codex Plugin
Enables creating and managing BeatAPI AI Music Video and Ecommerce Video workflows. Supports inspecting workflows, credits, usage, uploading files, creating tasks, polling tasks, and managing webhooks.
VidCap YouTube API MCP Server
Enables AI assistants to access YouTube video data including information retrieval, captions/transcripts, AI-powered summaries, screenshots, comments, and video search through the VidCap API.
HuggingFace Daily Papers MCP Server
Enables fetching HuggingFace daily papers for today, yesterday, or a specific date, providing paper details including title, authors, abstract, tags, votes, and links.
snowflake-mcp
Enables LLMs to directly query and interact with Snowflake databases, supporting SELECT queries, schema exploration, and table operations.
OSSInsight MCP Server
A Model Context Protocol (MCP) server for querying GitHub repository analytics from OSSInsight, providing repo metadata, trending repos, curated collections, search, compare, and collection rankings without an API key.
Proxmox MCP Server
Comprehensive MCP server for Proxmox VE with 68 tools and 4 resources covering VMs, containers, storage, networking, clusters, HA, backups, firewall, and access control.
SEFAZ MA DEC: Caixa Postal
MCP server that enables querying SEFAZ MA DEC Caixa Postal information from the official source through a single tool. Works with any MCP client and uses prepaid credits, with no platform credentials required.
mcp-weather
Aquí tienes un ejemplo de un servidor MCP (Message Communication Protocol) para un Agente de IA, diseñado para obtener pronósticos del tiempo y alertas meteorológicas de los estados de EE. UU.: **Título: Servidor MCP de Clima y Alertas de EE. UU.** **Descripción:** Este servidor MCP proporciona a los Agentes de IA la capacidad de consultar información meteorológica actual y alertas para cualquier estado de los Estados Unidos. **Protocolo de Comunicación:** JSON-RPC **Métodos:** * **`get_weather(state)`:** * **Descripción:** Obtiene el pronóstico del tiempo actual para un estado específico. * **Parámetros:** * `state` (string): El nombre del estado de EE. UU. (ej. "California", "Texas", "New York"). * **Respuesta:** * **Éxito:** Un objeto JSON con la siguiente estructura: ```json { "state": "California", "temperature": 25, "condition": "Soleado", "humidity": 60, "wind_speed": 15, "wind_direction": "Norte" } ``` * **Error:** Un objeto JSON con la siguiente estructura: ```json { "error": "Estado no encontrado" } ``` * **`get_alerts(state)`:** * **Descripción:** Obtiene las alertas meteorológicas activas para un estado específico. * **Parámetros:** * `state` (string): El nombre del estado de EE. UU. (ej. "Florida", "Louisiana", "Mississippi"). * **Respuesta:** * **Éxito:** Un array JSON de objetos, donde cada objeto representa una alerta: ```json [ { "type": "Advertencia de Tormenta Severa", "description": "Se espera una tormenta severa con granizo y vientos fuertes en el condado de Los Ángeles.", "effective": "2023-10-27T14:00:00Z", "expires": "2023-10-27T16:00:00Z" }, { "type": "Aviso de Inundación Repentina", "description": "Aviso de inundación repentina para el condado de Orange hasta las 18:00.", "effective": "2023-10-27T12:00:00Z", "expires": "2023-10-27T18:00:00Z" } ] ``` * **Éxito (sin alertas):** Un array JSON vacío: ```json [] ``` * **Error:** Un objeto JSON con la siguiente estructura: ```json { "error": "Estado no encontrado" } ``` **Ejemplo de Solicitud (get_weather):** ```json { "jsonrpc": "2.0", "method": "get_weather", "params": { "state": "Texas" }, "id": 1 } ``` **Ejemplo de Respuesta (get_weather - Éxito):** ```json { "jsonrpc": "2.0", "result": { "state": "Texas", "temperature": 32, "condition": "Parcialmente nublado", "humidity": 50, "wind_speed": 10, "wind_direction": "Sur" }, "id": 1 } ``` **Ejemplo de Solicitud (get_alerts):** ```json { "jsonrpc": "2.0", "method": "get_alerts", "params": { "state": "Florida" }, "id": 2 } ``` **Ejemplo de Respuesta (get_alerts - Éxito con alertas):** ```json { "jsonrpc": "2.0", "result": [ { "type": "Advertencia de Huracán", "description": "Se espera que el huracán Ian toque tierra cerca de Tampa.", "effective": "2023-09-28T08:00:00Z", "expires": "2023-09-29T20:00:00Z" } ], "id": 2 } ``` **Ejemplo de Respuesta (get_alerts - Éxito sin alertas):** ```json { "jsonrpc": "2.0", "result": [], "id": 2 } ``` **Consideraciones de Implementación:** * **Fuente de Datos:** Este servidor MCP necesitará una fuente de datos confiable para obtener la información meteorológica y las alertas. Se pueden usar APIs de clima públicas (como la API de la NOAA, OpenWeatherMap, AccuWeather, etc.) o servicios de datos meteorológicos comerciales. * **Manejo de Errores:** Es importante implementar un manejo de errores robusto para manejar casos como estados no válidos, errores de conexión a la fuente de datos, etc. * **Escalabilidad:** Si se espera un alto volumen de solicitudes, se debe considerar la escalabilidad del servidor MCP. Se pueden usar técnicas como el almacenamiento en caché y el balanceo de carga. * **Seguridad:** Si el servidor MCP se expone públicamente, se deben implementar medidas de seguridad para protegerlo contra ataques. * **Formato de Fecha/Hora:** Asegúrese de que el formato de fecha/hora en las respuestas sea consistente y bien documentado (en el ejemplo se usa ISO 8601). Este ejemplo proporciona un marco básico. La implementación real dependerá de los requisitos específicos del Agente de IA y de las fuentes de datos disponibles. Recuerda que este es un ejemplo y necesita ser adaptado a tus necesidades específicas.