AI_SQL / mcp_server.py
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Update mcp_server.py
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"""
mcp_server.py – Minimal MCP tool server for:
β€’ query_database – sample SQLite table
β€’ query_hubspot – contacts, companies, deals from HubSpot
Env requirements:
HUBSPOT_TOKEN
"""
import os, json, sqlite3
from mcp.server.fastmcp import FastMCP
# ─── HubSpot ─────────────────────────────
from hubspot import HubSpot
from hubspot.crm.contacts import ApiException as HSContactsError
hs_client = HubSpot(access_token=os.getenv("HUBSPOT_TOKEN"))
# ─── Setup MCP server ────────────────────
mcp = FastMCP("EnterpriseData")
# ─── In-memory SQLite setup ──────────────
conn = sqlite3.connect(":memory:", check_same_thread=False)
cur = conn.cursor()
cur.execute("""
CREATE TABLE Customers (
CustomerID INTEGER PRIMARY KEY AUTOINCREMENT,
Name TEXT,
Region TEXT,
LastOrderDate TEXT
)
""")
cur.executemany(
"INSERT INTO Customers (Name, Region, LastOrderDate) VALUES (?, ?, ?)",
[
("Acme Corp", "Northeast", "2024-12-01"),
("Beta Inc", "West", "2025-06-01"),
("Gamma Co", "Northeast", "2023-09-15"),
("Delta LLC", "South", "2025-03-20"),
("Epsilon Ltd","Northeast", "2025-07-10"),
],
)
conn.commit()
@mcp.tool()
def query_database(sql: str) -> str:
"""Run SQL against the Customers table."""
try:
cur.execute(sql)
cols = [d[0] for d in cur.description or []]
rows = [dict(zip(cols, r)) for r in cur.fetchall()]
return json.dumps(rows, indent=2)
except Exception as e:
return json.dumps({"error": str(e)})
@mcp.tool()
def query_hubspot(object_type: str = "contacts", limit: int = 100) -> str:
"""
Fetch objects from HubSpot CRM (contacts, companies, deals).
Example: object_type="contacts"
"""
try:
api = getattr(hs_client.crm, object_type)
page = api.basic_api.get_page(limit=limit)
items = [r.to_dict() for r in page.results]
return json.dumps(items, indent=2)
except HSContactsError as he:
return json.dumps({"error": he.body})
except Exception as e:
return json.dumps({"error": str(e)})
# ─── Launch MCP server ───────────────────
if __name__ == "__main__":
mcp.run(transport="stdio")