Connect an MCP server
This recipe connects to an MCP server for AI applications using GitHub as an example and Unity Catalog HTTP connections for secure and governed access.
Code snippets
OAuth User to Machine Per User (On-behalf-of-user)
app.py
import streamlit as st
from databricks.sdk import WorkspaceClient
from databricks.sdk.service.serving import ExternalFunctionRequestHttpMethod
import json
token = st.context.headers.get("x-forwarded-access-token")
w = WorkspaceClient(token=token, auth_type="pat")
def init_mcp_session(w: WorkspaceClient, connection_name: str):
init_payload = {
"jsonrpc": "2.0",
"id": "init-1",
"method": "initialize",
"params": {}
}
response = w.serving_endpoints.http_request(
conn=connection_name,
method=ExternalFunctionRequestHttpMethod.POST,
path="/",
json=init_payload,
)
return response.headers.get("mcp-session-id")
connection_name = "github_u2m_connection"
http_method = ExternalFunctionRequestHttpMethod.POST
path = "/"
headers = {"Content-Type": "application/json"}
payload = {"jsonrpc": "2.0", "id": "list-1", "method": "tools/list"}
if st.button("Run"):
session_id = init_mcp_session(w, connection_name)
headers["Mcp-Session-Id"] = session_id
response = w.serving_endpoints.http_request(
conn=connection_name,
method=http_method,
path=path,
headers=headers,
json=payload,
)
st.json(response.json())
Bearer token
app.py
import streamlit as st
from databricks.sdk import WorkspaceClient
from databricks.sdk.service.serving import ExternalFunctionRequestHttpMethod
w = WorkspaceClient()
response = w.serving_endpoints.http_request(
conn="github_u2m_connection",
method=ExternalFunctionRequestHttpMethod.GET,
path="/traffic/views",
headers={"Accept": "application/vnd.github+json"},
json={
"jsonrpc": "2.0",
"id": "init-1",
"method": "initialize",
"params": {}
},
)
st.json(response.json())
Resources
- Unity Catalog HTTP Connection with the MCP (/mcp) base path
Permissions
Your app service principal needs the following permissions:
USE CONNECTION
permission on the HTTP Connection
When using OAuth User to Machine Per User (On-behalf-of-user), you need to configure User authorization by adding the Unity Catalog connection or other scopes.
Dependencies
- Databricks SDK for Python -
databricks-sdk
- Streamlit -
streamlit
- MCP CLI -
mcp[cli]
requirements.txt
databricks-sdk
streamlit
mcp[cli]