retrieve-assistant
Retrieve an OpenAI assistant by its unique ID to access its configuration, capabilities, and settings for integration or management purposes.
Instructions
Retrieve an OpenAI assistant by ID
Input Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| assistant_id | Yes | The ID of the assistant to retrieve |
Implementation Reference
- src/mcp_server_openai/llm.py:34-40 (handler)Core handler implementation that retrieves the OpenAI assistant using the AsyncOpenAI client API.
async def retrieve_assistant(self, assistant_id: str): try: response = await self.client.beta.assistants.retrieve(assistant_id) return response except Exception as e: logger.error(f"Failed to retrieve assistant {assistant_id}: {str(e)}") raise - src/mcp_server_openai/server.py:152-157 (handler)Tool dispatch handler in the main call_tool function that validates input and delegates to LLMConnector.retrieve_assistant.
elif name == "retrieve-assistant": assistant_id = arguments.get("assistant_id") if not assistant_id: raise ValueError("assistant_id is required for retrieve-assistant") response = await connector.retrieve_assistant(assistant_id) return [types.TextContent(type="text", text=f"Assistant Details:\\n{response}")] - src/mcp_server_openai/server.py:46-56 (registration)Tool registration including name, description, and input schema in the list_tools handler.
types.Tool( name="retrieve-assistant", description="Retrieve an OpenAI assistant by ID", inputSchema={ "type": "object", "properties": { "assistant_id": {"type": "string", "description": "The ID of the assistant to retrieve"} }, "required": ["assistant_id"] } ), - Input schema definition for the retrieve-assistant tool, specifying required assistant_id.
inputSchema={ "type": "object", "properties": { "assistant_id": {"type": "string", "description": "The ID of the assistant to retrieve"} }, "required": ["assistant_id"] }