Model Context Protocol (MCP) in Production

[ AI Host Agent (Claude Desktop / Custom Antigravity Studio) ]
                           │
                           ▼ (JSON-RPC 2.0 over Stdio / SSE)
[ KaamLabs Enterprise FastMCP Server ]
  • Dynamic Tool Registry & Role-Based Access Control (RBAC)
  • PII Masking & DPDP Act Data Scrubbing
  • Read-Only Connection Pooling via pgBouncer
                           │
        ┌──────────────────┼──────────────────┐
        │                  │                  │
        ▼                  ▼                  ▼
[ PostgreSQL / Supabase ]  [ Tally ERP XML ]  [ Zoho / HubSpot CRM ]
• Read customer history    • Live inventory   • Update deal stages
• Vector semantic search   • GST tax entries  • Log call transcripts

# mcp_server/enterprise_erp.py
from mcp.server.fastmcp import FastMCP
import httpx
import os

mcp = FastMCP("KaamLabs Enterprise ERP Gateway")

@mcp.tool()
async def query_warehouse_inventory(sku_code: str) -> dict:
    '''Fetch live stock levels and warehouse bin location for an enterprise SKU.'''
    # Connect securely to internal Tally / ERP database
    async with httpx.AsyncClient() as client:
        res = await client.get(f"https://erp.internal.kaamlabs.in/inventory/{sku_code}", headers={
            "X-Internal-Token": os.getenv("ERP_INTERNAL_KEY")
        })
        return res.json()

@mcp.tool()
async def schedule_production_dispatch(order_id: str, priority_level: str) -> str:
    '''Safely mark an order for expedited warehouse dispatch.'''
    # Enforce strict validation before executing write operations
    if priority_level not in ["standard", "urgent", "same_day"]:
        return "Invalid priority level."

    return f"Order {order_id} successfully queued for {priority_level} dispatch."

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