Discover Awesome MCP Servers

Master MCP Server

Aggregates multiple MCP servers behind a single, secure endpoint with unified tool/resource discovery, OAuth authentication, and resilient request routing. Enables users to manage and interact with multiple MCP backends through one centralized interface with load balancing and circuit breakers.

My First MCP Server

An AI-powered MCP server that provides development tools for code analysis, documentation, and project management including code pattern extraction, humorous code reviews, TODO scanning, and PRD generation.

UniAuto MCP Server

Servidor MCP de Automatización de Pruebas Universal con capacidades de auto-reparación e integración con Smithery.ai

Playwright Fetch MCP Server

Provides web content fetching capabilities using Playwright browser automation, enabling LLMs to retrieve and process JavaScript-rendered content from web pages and convert HTML to markdown for easier consumption.

IBKR TWS MCP Server

Enables LLM clients to interact with Interactive Brokers Trader Workstation for automated trading workflows. Supports market data retrieval, portfolio management, and order execution through the TWS API.

PortalMCP

Universal AI gateway that enables interaction with Ethereum blockchain through natural language across multiple AI platforms (Claude, ChatGPT, Gemini, etc.). Supports contract deployment, token operations, NFT minting, DeFi operations, and general blockchain transactions.

Wuxing Search MCP

A privacy-focused search server built on SearXNG that provides unlimited, multi-source web searching across 100+ engines. It enables AI tools to perform advanced searches with specialized filters for time, language, and content categories without API costs or rate limits.

Memento

A local, fully-offline MCP memory server that enables persistent storage and retrieval of information using SQLite with both keyword and semantic vector search capabilities.

FAL Reve MCP Server

Enables high-quality text-to-image generation and image editing using FAL AI's Reve model. Supports batch processing, multiple aspect ratios and formats, with automatic local image downloads and both real-time and async processing modes.

LAPRAS MCP Server

lapras.com Servidor MCP Oficial

Spire.Doc MCP Server

Enables AI agents to create, read, modify, and convert Word documents without Microsoft Word, supporting 18 tools for document operations, paragraph manipulation, table management, formatting, and conversion between multiple formats including PDF, HTML, and Markdown.

Mailcow MCP Server

Enables complete management of Mailcow email servers through 20 MCP tools including domain management, mailbox operations, email sending, queue management, sync jobs, and system monitoring. Provides AI models with full control over email server infrastructure through secure API integration.

ClaudePost

Enables seamless email management through natural language conversations with Claude. Supports searching, reading, and sending emails securely with Gmail and other email providers.

MCP Cloudflare DNS Server

A Model Context Protocol server implementation that allows AI agents to manage DNS records for domains hosted on Cloudflare by providing tools to list, create, update, and delete various types of DNS records.

bnbchain-mcp

bnbchain-mcp

claude-safe-mcp

A secure MCP wrapper for Anthropic Claude Code that eliminates the need for permission flags while preserving full CLI functionality and working seamlessly with MCP-compatible IDEs.

Diff MCP Server

Enables Claude to compare text strings for exact equality and display detailed line-by-line differences with flexible options to ignore whitespace, case, or line ending variations.

mcpwall

mcpwall is a deterministic security proxy for MCP tool calls — iptables for MCP. It sits between the MCP client and server, intercepting every JSON-RPC request and enforcing YAML-defined policies.

mcp-server-google-cloud-logging

Claro, aquí tienes cómo obtener registros de Logging con `gcloud`: **Opción 1: Usando `gcloud logging read` (Recomendado para consultas sencillas)** Este es el método más directo para obtener registros. ```bash gcloud logging read "QUERY" --format="FORMAT" --limit=LIMIT ``` * **`QUERY`**: Es el filtro de consulta que especifica qué registros quieres. Si no proporcionas una consulta, se devolverán todos los registros (¡lo cual puede ser mucho!). Ejemplos de consultas: * `"resource.type=gke_cluster"`: Registros de clústeres GKE. * `"severity>=ERROR"`: Registros con severidad ERROR o superior. * `"textPayload:error AND logName:my-app"`: Registros que contienen la palabra "error" en el payload y provienen del log "my-app". * `timestamp>"2023-10-26T00:00:00Z" timestamp<"2023-10-27T00:00:00Z"`: Registros entre dos fechas. * Consulta la documentación de Logging para la sintaxis completa de las consultas: [https://cloud.google.com/logging/docs/view/advanced-queries](https://cloud.google.com/logging/docs/view/advanced-queries) * **`FORMAT`**: Especifica el formato de salida. Algunas opciones comunes son: * `text`: Formato legible por humanos (predeterminado). * `json`: Formato JSON. Útil para procesar los registros con otras herramientas. * `yaml`: Formato YAML. * `value(logName, timestamp, severity, textPayload)`: Formato personalizado que muestra solo los campos especificados. * Consulta la documentación de `gcloud topic formats` para más opciones. * **`LIMIT`**: El número máximo de registros a devolver. Si no se especifica, se devuelve un número limitado de registros. Usa `--limit=unlimited` para obtener todos los registros que coincidan con la consulta (¡ten cuidado con esto, puede ser mucho!). **Ejemplos:** * Obtener los últimos 10 registros de error en formato JSON: ```bash gcloud logging read "severity>=ERROR" --format="json" --limit=10 ``` * Obtener todos los registros de un clúster GKE específico en formato de texto: ```bash gcloud logging read "resource.type=gke_cluster AND resource.labels.cluster_name=YOUR_CLUSTER_NAME" --format="text" --limit=unlimited ``` * Obtener los registros que contienen "error" en el payload, mostrando solo el logName, timestamp, severity y textPayload: ```bash gcloud logging read "textPayload:error" --format="value(logName, timestamp, severity, textPayload)" ``` **Opción 2: Usando `gcloud logging tail` (Para monitoreo en tiempo real)** Esta opción muestra los registros a medida que se generan, similar a `tail -f` en Linux. ```bash gcloud logging tail "QUERY" ``` * **`QUERY`**: Igual que en `gcloud logging read`, es el filtro de consulta. Si no se especifica, se muestran todos los registros nuevos. **Ejemplo:** * Monitorear los registros de error en tiempo real: ```bash gcloud logging tail "severity>=ERROR" ``` **Consideraciones importantes:** * **Autenticación:** Asegúrate de que `gcloud` esté autenticado con una cuenta que tenga permisos para leer los registros. Puedes autenticarte con `gcloud auth login`. * **Proyecto:** Asegúrate de que `gcloud` esté configurado para el proyecto correcto. Puedes verificarlo con `gcloud config get-value project` y cambiarlo con `gcloud config set project YOUR_PROJECT_ID`. * **Cuotas:** Ten en cuenta las cuotas de Logging. La lectura excesiva de registros puede generar cargos. * **Escritura a un archivo:** Puedes redirigir la salida de `gcloud logging read` a un archivo: ```bash gcloud logging read "QUERY" --format="json" > logs.json ``` **En resumen:** * Usa `gcloud logging read` para obtener registros históricos y realizar consultas específicas. * Usa `gcloud logging tail` para monitorear los registros en tiempo real. * Asegúrate de usar consultas eficientes para evitar leer demasiados registros. * Considera el formato de salida para facilitar el procesamiento de los registros. Espero que esto te ayude. Si tienes alguna pregunta específica sobre tu caso de uso, házmelo saber y te daré un ejemplo más preciso.

Academic MCP

Enables AI tools to search and retrieve data from various South Korean and Japanese academic databases, including research journals, historical records, and legislative information.

Last Rock MCP

Infrastructure orchestration server for deploying and managing MCP servers on Fly.io and Cloudflare Workers with state tracking, distributed locking, health checks, and automatic rollback capabilities.

ZIP MCP

A powerful ZIP file processing tool that enables creating, extracting, listing, adding, deleting, viewing, and verifying ZIP files through MCP protocol integration with AI development environments.

IMAP Mini MCP

A lightweight MCP server for interacting with IMAP email accounts to read messages, manage folders, and compose draft replies. It supports standard providers and local bridges, providing tools for searching, fetching attachments, and organizing mailboxes without the ability to send or delete emails.

Lemon Squeezy Server

Integrates with Lemon Squeezy to manage subscriptions, checkouts, products, orders, customers, license keys, and webhooks programmatically with audit logging capabilities.

Nodit Mcp Server Poc

Here are a few options for translating "Nodit API MCP Server POC", depending on the context and desired level of formality: * **More Literal:** "Prueba de Concepto (POC) del Servidor MCP de la API Nodit" * **Slightly More Natural:** "POC del Servidor MCP de la API Nodit" (POC is often used directly in Spanish in technical contexts) * **If you want to emphasize the purpose:** "Prueba de Concepto del Servidor MCP de la API Nodit" (emphasizing that it is a test) **Explanation of Choices:** * **POC:** "Proof of Concept" is often abbreviated as "POC" in both English and Spanish, especially in technical fields. * **API:** "API" is generally used as is in Spanish. * **MCP Server:** "Servidor MCP" translates directly. * **Nodit:** Assuming "Nodit" is a proper noun (a specific name), it remains unchanged. * **Prueba de Concepto:** This is the direct translation of "Proof of Concept." Therefore, the best option depends on your audience and the specific context. If you're unsure, using "POC del Servidor MCP de la API Nodit" is a safe and common choice.

Portainer MCP

Servidor MCP de Portainer

Stock Ticker MCP Server

Provides real-time and historical stock market data through the Alpha Vantage API. Enables users to get current stock prices and retrieve historical stock data for any major stock symbol via natural language queries.