LeadFlow MCP Server

#!/usr/bin/env python3
"""Generated MCP server scaffold."""

from fastmcp import FastMCP

mcp = FastMCP(name='leadflow-mcp')

@mcp.tool()
def search_leads(input: dict) -> dict:
    """Buscar leads por criterios: empresa, estado, score"""
    return {"tool": "search_leads", "status": "todo"}

@mcp.tool()
def create_lead(input: dict) -> dict:
    """Crear un nuevo lead en el CRM"""
    return {"tool": "create_lead", "status": "todo"}

@mcp.tool()
def create_deal(input: dict) -> dict:
    """Crear una oportunidad de venta en el pipeline"""
    return {"tool": "create_deal", "status": "todo"}

@mcp.tool()
def advance_deal_stage(input: dict) -> dict:
    """Avanzar o retroceder un deal en el pipeline"""
    return {"tool": "advance_deal_stage", "status": "todo"}

@mcp.tool()
def add_followup_note(input: dict) -> dict:
    """Registrar nota de seguimiento en el historial"""
    return {"tool": "add_followup_note", "status": "todo"}

@mcp.tool()
def get_pipeline_summary(input: dict) -> dict:
    """Resumen del pipeline por etapa con totales"""
    return {"tool": "get_pipeline_summary", "status": "todo"}

## ... +2 tools mas (get_lead, update_lead_status)

if __name__ == '__main__':
    mcp.run()

$ python3 scripts/openapi_to_mcp.py \
  --input       openapi_leadflow.json \
  --server-name leadflow-mcp \
  --language    python \
  --output-dir  ./out \
  --format      text

MCP scaffold generated
- server: leadflow-mcp
- language: python
- tools: 8
- manifest: out/tool_manifest.json
- scaffold: out/server.py

$ python3 scripts/mcp_validator.py \
  --input  out/tool_manifest.json \
  --strict --format text

MCP manifest validation
- tools: 8
- errors: 0
- warnings: 0