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2.0 KiB
MCP Service Account Agent Sample
This agent demonstrates how to connect to a remote MCP server using a gcloud service account for authentication. It uses Streamable HTTP for communication.
Setup
Before running the agent, you need to configure the MCP server URL and your service account credentials in agent.py.
-
Configure MCP Server URL: Update the
MCP_SERVER_URLvariable with the URL of your MCP server instance.# agent.py # TODO: Update this to the production MCP server url and scopes. MCP_SERVER_URL = "https://test.sandbox.googleapis.com/mcp" -
Set up Service Account Credentials:
- Obtain the JSON key file for your gcloud service account.
- In
agent.py, find theServiceAccountCredentialobject and populate its parameters (e.g.,project_id,private_key,client_email, etc.) with the corresponding values from your JSON key file.
# agent.py # TODO: Update this to the user's service account credentials. auth_credential=AuthCredential( auth_type=AuthCredentialTypes.SERVICE_ACCOUNT, service_account=ServiceAccount( service_account_credential=ServiceAccountCredential( type_="service_account", project_id="example", private_key_id="123", private_key="123", client_email="test@example.iam.gserviceaccount.com", client_id="123", auth_uri="https://accounts.google.com/o/oauth2/auth", token_uri="https://oauth2.googleapis.com/token", auth_provider_x509_cert_url=( "https://www.googleapis.com/oauth2/v1/certs" ), client_x509_cert_url="https://www.googleapis.com/robot/v1/metadata/x509/example.iam.gserviceaccount.com", universe_domain="googleapis.com", ), scopes=SCOPES.keys(), ), ),
Running the Agent
Once configured, you can run the agent.
For example:
adk web