credential_watch / verify_connection.py
Humanlearning's picture
feat: Implement CredentialWatch agent with MCP client, main entry point, interactive query agent, and various debugging utilities.
9d3c7fc
import asyncio
import os
import sys
from dotenv import load_dotenv
# Add src to path
sys.path.append(os.path.join(os.path.dirname(__file__), "src"))
# Load env vars
load_dotenv(".env.local")
from credentialwatch_agent.mcp_client import mcp_client
async def verify_connection():
print("Attempting to connect to MCP servers...")
print(f"NPI URL: {os.getenv('NPI_MCP_URL')}")
print(f"Cred DB URL: {os.getenv('CRED_DB_MCP_URL')}")
print(f"Alert URL: {os.getenv('ALERT_MCP_URL')}")
await mcp_client.connect()
# Check internal state if possible, or try to call a tool
# We can check if we are using mock data by inspecting the client's state if we exposed it,
# but mcp_client.py doesn't expose a "is_mock" flag directly other than printing.
# However, we can try to call a tool and see if we get a real response or the mock response.
# The mock response for "npi" -> "search_providers" returns "Dr. Jane Doe".
print(f"Mock mode: {mcp_client._mock_mode}")
print(f"Connected: {mcp_client._connected}")
print(f"Loaded tools: {list(mcp_client._tools.keys())}")
print("\nTesting NPI tool call...")
try:
result = await mcp_client.call_tool("npi", "search_providers", {"query": "test"})
print(f"Result: {result}")
except Exception as e:
print(f"Tool call failed: {e}")
print("\nClosing...")
await mcp_client.close()
if __name__ == "__main__":
asyncio.run(verify_connection())