MCP-Maestro

MCP-Maestro

Connects AI assistants to the Maestro research framework to orchestrate multi-agent research missions, including planning, research, and writing phases. It enables users to launch research tasks, track real-time progress, and retrieve comprehensive structured reports and notes.

Category
Visit Server

README

Maestro MCP Server

MCP server para Maestro (AI Research Platform) con descubrimiento automático de puerto.

Puertos Oficiales

Según la documentación oficial, Maestro se ejecuta en:

  • Web UI: puerto 3000
  • Backend API: puerto 3001 (a través de nginx en 80)
  • PostgreSQL: puerto 5432

Quick Start

cd mcp-maestro
uv venv --python 3.12 .venv
source .venv/bin/activate
uv pip install -r requirements.txt
python3 server.py

Lógica de Descubrimiento

  1. Primero: Busca en puerto 3000 (web UI)
  2. Si no encuentra: Escanea puertos alternativos (8000, 10303, 8001, 5000, 8080)
  3. Si sigue sin encontrar: Pide al usuario el puerto por consola
  4. Fallback: Usa http://localhost:3000 si el usuario no responde

Configuración Manual

Si prefieres configurar manualmente, usa la variable de entorno:

export MAESTRO_BASE_URL=http://localhost:3000

O crea un archivo .env en la raíz del proyecto.

Herramientas

maestro_create_mission

  • request (string): Descripción de la misión
  • chat_id (string, optional): ID de chat
  • use_web_search (boolean): Usar búsqueda web

maestro_get_report

  • mission_id (string): ID de la misión

maestro_resume

  • mission_id (string): ID de la misión

maestro_stop

  • mission_id (string): ID de la misión

Claude Desktop

{
  "mcpServers": {
    "maestro": {
      "command": "uv",
      "args": ["--directory", "/Users/simba/Code/MCP-servers/mcp-maestro", "run", "python3", "server.py"]
    }
  }
}

MCP Server

  • Puerto: 8081
  • SSE: /sse
  • HTTP: /mcp

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured