list_databricks_tools
Discover available Databricks MCP tools after authentication to access and interact with Databricks-hosted applications through Claude.
Instructions
List all available tools on the remote Databricks MCP server. Must authenticate first.
Tool call template
This tool declares no required parameters. Add optional parameters from the input schema as needed.
{
"id": 1,
"jsonrpc": "2.0",
"method": "tools/call",
"params": {
"arguments": {},
"name": "list_databricks_tools"
}
}Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Output Schema
| Name | Required | Description | Default |
|---|---|---|---|
| result | Yes |
Implementation Reference
- src/databricks_mcp_proxy/server.py:61-82 (handler)The handler function implementing the list_databricks_tools tool. It lists all discovered remote tools with their names, descriptions, and input parameters if available. Requires prior authentication.
@mcp.tool() def list_databricks_tools() -> str: """ List all available tools on the remote Databricks MCP server. Must authenticate first. """ if not state.authenticated or not state.proxy: return "Not authenticated. Call 'authenticate' first." if not state.proxy.tools: return "No tools available." lines = [f"Available tools ({len(state.proxy.tools)}):\n"] for tool in state.proxy.tools: lines.append(f"**{tool.name}**") lines.append(f" {tool.description}") if tool.input_schema.get("properties"): lines.append(f" Parameters: {list(tool.input_schema['properties'].keys())}") lines.append("") return "\n".join(lines) - The authenticate tool handler which initializes the proxy, connects, and calls discover_tools to populate the list of remote tools used by list_databricks_tools.
@mcp.tool() def authenticate() -> str: """ Authenticate with Databricks using OAuth U2M flow. Opens a browser for authorization. Uses DATABRICKS_HOST and DATABRICKS_APP_URL from app.yaml or environment. """ try: host = state.host or os.environ.get("DATABRICKS_HOST") app_url = state.app_url or os.environ.get("DATABRICKS_APP_URL") scopes = state.scopes or os.environ.get("DATABRICKS_SCOPES", DEFAULT_SCOPES) if not host: return "Error: DATABRICKS_HOST not configured. Set it in app.yaml or environment." if not app_url: return "Error: DATABRICKS_APP_URL not configured. Set it in app.yaml or environment." print(f"Starting OAuth flow for {host}...", file=sys.stderr) access_token = start_oauth_flow(host, scopes) state.proxy = DatabricksMCPProxy(host, app_url, access_token) state.proxy.connect() state.proxy.discover_tools() state.authenticated = True tool_names = [t.name for t in state.proxy.tools] return f"Authenticated successfully!\n\nAvailable tools ({len(tool_names)}):\n" + "\n".join(f" - {name}" for name in tool_names) except Exception as e: state.authenticated = False return f"Authentication failed: {e}" - src/databricks_mcp_proxy/server.py:61-82 (registration)The @mcp.tool() decorator registers the list_databricks_tools function with the FastMCP server instance.
@mcp.tool() def list_databricks_tools() -> str: """ List all available tools on the remote Databricks MCP server. Must authenticate first. """ if not state.authenticated or not state.proxy: return "Not authenticated. Call 'authenticate' first." if not state.proxy.tools: return "No tools available." lines = [f"Available tools ({len(state.proxy.tools)}):\n"] for tool in state.proxy.tools: lines.append(f"**{tool.name}**") lines.append(f" {tool.description}") if tool.input_schema.get("properties"): lines.append(f" Parameters: {list(tool.input_schema['properties'].keys())}") lines.append("") return "\n".join(lines)