Discover Awesome MCP Servers

conda-cli-mcp

Enables AI assistants to interact with conda CLI commands through the Model Context Protocol, providing structured tools for built-in and plugin commands while enforcing configurable read-only, write, and exec policies.

Weather MCP Server

Provides global weather data (current conditions, forecasts, air quality) without requiring an API key.

Confluence API Docs MCP Server

Generates API documentation in Confluence from Swagger/OpenAPI specs or NestJS controller files, including automatic Postman collection generation.

AgentPrism Workflows

Run dynamic, multi-agent workflow scripts — agent(), parallel(), pipeline() — over real coding agents (Claude Code and OpenAI Codex), with deterministic journaling, resume, token budgets, and git-worktree isolation.

FmodStudioMCP

MCP server that connects AI assistants to FMOD Studio via its scripting terminal, enabling live game-audio authoring such as creating events, importing sounds, routing mixers, and building banks through natural language.

claude-bridge

Shared MCP server enabling two Claude Code instances to collaborate over the internet by sharing messages, memory, tasks, and files through a common URL and room key.

sbl-debugger

Enables AI assistants to debug ARM Cortex-M targets via GDB and OpenOCD, supporting attach, breakpoints, stepping, register/memory inspection, and SVD peripheral decoding.

Engram

Perstistant Memory Layer for Agents

video-editor

An MCP server that enables natural language video editing using FFmpeg, supporting operations like trimming, merging, format conversion, and more with real-time progress tracking.

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.

ActiveNet OpenAPI MCP Server

Enables AI agents to interact with ActiveNet OpenAPI services for managing organizations, activities, customers, facilities, and more.

News Digest

Fetches news from Telegram and RSS sources and serves them to LLM agents via MCP.

sombra-mcp

A stdio-to-HTTP bridge for connecting to Sombra's remote MCP server, enabling AI agents to save, search, and organize web content.

Search MCP Server

A Model Context Protocol (MCP) server for integrating Google Search capabilities into AI applications.

notifications-mcp

Unified Notifications MCP Server that enables AI agents to send email alerts via Gmail. Supports OAuth authentication and multiple recipients.

eolink-mcp

Enables AI assistants to query API documentation from Eolink Apikit instances via the Eolink Open API, supporting listing projects, groups, searching APIs by keyword/path, and retrieving detailed API definitions.

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.

Elasticsearch MCP Server

MCP server that provides tools and resources to interact with Elasticsearch clusters, including listing indices, searching, and retrieving mappings.

Figma AI Bridge

Enables AI assistants to control Figma in real-time through Model Context Protocol, allowing design creation, editing, and reading operations directly from VS Code.

OpenSCAD MCP Server

An intelligent assistant for 3D modeling with OpenSCAD and 3D printing workflow, including a Gradio app to test different LLMs.

hpe-networking-mcp

Low-token MCP server for HPE Networking automation, enabling search of Aruba/HPE docs, OpenAPI details, Central health checks, troubleshooting workflows, configuration management, and guarded ArubaOS 8 migrations and GreenLake Platform operations across platforms like Aruba Central, ClearPass, Mist, and Apstra.

proxmox-mcp

A Python MCP server for Proxmox VE that lets AI agents read cluster status, power guests on/off, and provision new VMs/containers through natural language, while preventing any destructive actions.

agentdrop-mcp

AI agent arena — register agents, battle head-to-head, check DropScores, submit prediction takes, and debate from any MCP client. Deploy real HTTPS endpoint agents or use hosted fallback.

Sketch MCP

An official MCP server that allows AI clients to interact with Sketch designs, enabling exploration, iteration, asset export, and more.

simple-data-comparator-mcp

MCP server for comparing JSON, XML, XLSX, CSV, and text data using expected templates, returning pass/fail with difference details.

Parcel App MCP Server

Enables users to manage package deliveries through the Parcel.app tracking API. It allows AI clients to list active or recent deliveries and add new packages directly to a Parcel account using tracking numbers and carrier codes.

recipe-tools

Enables extraction of recipes from PDFs or JPG files and conversion into structured HTML, with interactive region selection and OCR via a web GUI.

Lyrion MCP Server

Enables LLMs to control a Lyrion Music Server (LMS/Squeezebox) for playback, search, library browsing, and player management.

lineworks-mcp

MCP server for LINE WORKS that enables accessing user profiles, calendars, tasks, groups, and notes via OAuth 2.0.

einvoice-mcp

MCP server for German e-invoice compliance (XRechnung 3.0 & ZUGFeRD 2.x) enabling AI agents to validate, generate, parse, and check compliance of electronic invoices per EN 16931.