Cerebrito MCP Server
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Cerebrito MCP Serverbusca en la KB sobre IVA"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Cerebrito MCP Server
Servidor MCP remoto que expone la base de conocimiento del proyecto Cumplimiento Digital (Seguros Bolívar) como herramientas consultables por cualquier IA compatible con MCP (Claude, Cursor, Claude Desktop, etc.).
Qué expone
buscar_kb— busca en la base de conocimiento por palabra clave.listar_kb— lista todas las entradas KB (resumen).obtener_kb— detalle completo de una entrada (ej.KB-17).estado_proyecto— info general del proyecto y épicas activas.estado_hu1792— detalle de la HU GD981-1792 (subtareas, IVA, pendientes).endpoints_clave— endpoints backend principales.glosario— glosario de dominio.arquitectura— mapa de containers/facades/servicios (se completa endata/knowledge.json).
Related MCP server: ONLI MCP Service
Correr local
npm install
npm startLevanta en http://localhost:3000, endpoint MCP en /mcp.
Actualizar el conocimiento
Editar data/knowledge.json (no hace falta tocar server.js). Commitear y pushear —
Render redeploya solo si está conectado al repo.
Deploy en Render (free tier)
Subir este repo a GitHub.
En Render: New > Web Service → conectar el repo.
Build command:
npm installStart command:
npm startRender asigna la URL pública (ej.
https://cerebrito-mcp.onrender.com).El endpoint MCP queda en
https://<tu-url>.onrender.com/mcp.
Conectar un cliente MCP a este servidor
En la config MCP del cliente (Claude Code, Claude Desktop, Cursor) agregar un servidor de tipo
http/streamable-http apuntando a https://<tu-url>.onrender.com/mcp.
This server cannot be deployed
Maintenance
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Knowledge base MCP for AI agents on iknow.dev. Search, read, and maintain via OAuth.
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