Intelligent AI Automation.
Python Agentic Ecosystems.

from mcp.server.fastmcp import FastMCP
from pydantic import BaseModel, Field
import hmac, hashlib, os, asyncpg

# Initialize Secure Enterprise MCP Server
mcp = FastMCP("iHexe-Enterprise-MCP-Gatekeeper")

class VaultQueryRequest(BaseModel):
    tenant_id: str = Field(description="Isolated Enterprise Multi-Tenant UUID")
    query_vector: list[float] = Field(description="1536-dim Embedding Vector")
    redact_pii: bool = Field(default=True, description="Enforce Zero-Exposure Sanitization")

@mcp.tool()
async def query_private_financial_ledger(request: VaultQueryRequest) -> dict:
    """
    Queries private enterprise PostgreSQL database inside AWS VPC.
    Sanitizes all PII before returning context to Claude/Gemini agents.
    """
    # Establish VPC Encrypted Connection
    conn = await asyncpg.connect(os.getenv("VPC_DATABASE_URL"))
    
    raw_records = await conn.fetch(
        "SELECT ledger_id, payload_json FROM ledgers WHERE tenant_id = $1 LIMIT 5",
        request.tenant_id
    )
    
    sanitized_output = []
    for row in raw_records:
        payload = row['payload_json']
        if request.redact_pii:
            # Mathematical HMAC Hash Replacement for Names/Emails/SSNs
            payload = redact_sensitive_pii(payload)
        sanitized_output.append(payload)
        
    await conn.close()
    return {"status": "SUCCESS", "redacted_context": sanitized_output}

def redact_sensitive_pii(payload: dict) -> dict:
    """Cryptographic PII Anonymization Gateway"""
    for key in ["user_email", "customer_name", "ssn_tax_id"]:
        if key in payload:
            secret_salt = os.getenv("HMAC_SALT", "ihexe_salt")
            hashed = hmac.new(secret_salt.encode(), str(payload[key]).encode(), hashlib.sha256).hexdigest()
            payload[key] = f"0x{hashed[:12]}...[REDACTED]"
    return payload