Custom AI Agent Development Services

from fastapi import FastAPI, HTTPException, Depends
from pydantic import BaseModel, Field
import asyncpg

app = FastAPI(title="Custom MCP Enterprise Tool Server")

class QueryAccountSchema(BaseModel):
  account_id: str = Field(..., regex="^ACC-[0-9]{6}$", description="Valid account identifier")
  max_records: int = Field(default=10, le=50, description="Max transaction records to fetch")

async def verify_agent_token(token: str):
  if not token.startswith("mcp_live_"):
      raise HTTPException(status_code=401, detail="Invalid Agent MCP Token")
  return True

@app.post("/mcp/tools/query_account_ledger")
async def query_account_ledger(payload: QueryAccountSchema, authenticated: bool = Depends(verify_agent_token)):
  # Connect to internal read-replica PostgreSQL
  # conn = await asyncpg.connect("postgresql://readonly_user@db-internal:5432/finance")
  # rows = await conn.fetch("SELECT id, amount, status FROM ledger WHERE account_id = $1 LIMIT $2", payload.account_id, payload.max_records)
  return {
      "status": "SUCCESS",
      "account_id": payload.account_id,
      "records": [{"id": "TX-1092", "amount": 4200.50, "status": "CLEARED"}]
  }