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ruben-salas20

Nimbus Copiloto MCP Server

Nimbus Copiloto — Helpdesk MCP Server

MCP server for Helpdesk Nimbus, the support ticketing platform of Nimbus S.A.S. It lets an AI assistant operate the helpdesk: search cases, view history, escalate, respond, and measure SLA compliance.

This is a learning environment. Nimbus S.A.S. is a fictional company. The repository exists to learn FastMCP by building a project with the shape and demands of a real one.


Quick start

# 1. Dependencias
uv sync

# 2. Sembrar la base de datos
uv run python -m backend.seed

# 3. Levantar el backend de la empresa (terminal aparte, déjalo corriendo)
uv run uvicorn backend.main:app --reload --port 8000

# 4. Correr las pruebas
uv run pytest -v

With the backend running: http://127.0.0.1:8000/docs

Related MCP server: tickiti-mcp

The MCP server

# Correrlo
uv run python -m nimbus_mcp.server

# Inspeccionarlo en el navegador
uv run fastmcp dev src/nimbus_mcp/server.py

It is also available inside Claude Code thanks to .mcp.json. Check with /mcp.


Structure

mcp-test/
├── backend/              # API interna de Nimbus — NO SE TOCA
│   ├── main.py           #   FastAPI: tickets, clientes, agentes, KB, métricas
│   ├── db.py             #   Esquema SQLite
│   └── seed.py           #   Generador de datos de prueba
├── src/nimbus_mcp/       # El servidor MCP — aquí trabajas
│   └── server.py
├── tests/                # Pruebas
├── data/nimbus.db        # Base sembrada (regenerable)
└── docs/                 # Documentación del proyecto

Documentation

Document

What it's for

docs/ONBOARDING.md

Start here. What MCP is, how to get everything running, learning path

docs/RUTA_AI_ENGINEER.md

The long plan: 8 phases to AI Engineer

docs/EMPRESA.md

The company, the team, why the project exists

docs/PRODUCTO.md

The domain: tickets, statuses, SLA, glossary

docs/API_BACKEND.md

API contract consumed by the MCP

docs/BACKLOG.md

Phase 1 — the MCP tickets

docs/BACKLOG_FASE_2.md

Phase 2 — the copilot tickets

docs/BITACORA.md

Where the last session left off

The plan

This repository is Phase 1 of eight. The system grows in layers: MCP → copilot → evals → RAG → guardrails → observability → own models → production. The complete map is in docs/RUTA_AI_ENGINEER.md.

Versions

Python 3.13 · FastMCP 3.4.7 · FastAPI 0.141 · pytest 9.1

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