OpenAI Assistant MCP Server

Instructions

Implementation Reference

• src/mcp_server_openai/server.py:145-150 (handler)

  Tool handler for 'list-assistants': calls LLMConnector.list_assistants() and formats the list of assistants as text.
  elif name == "list-assistants": response = await connector.list_assistants() assistants_str = "\\n".join([f"- ID: {a.id}, Name: {a.name}, Model: {a.model}" for a in response]) if not assistants_str: assistants_str = "No assistants found." return [types.TextContent(type="text", text=f"Assistants:\\n{assistants_str}")]
• src/mcp_server_openai/llm.py:26-32 (helper)

  Core helper method in LLMConnector that retrieves the list of OpenAI assistants using the AsyncOpenAI client.
  async def list_assistants(self): try: response = await self.client.beta.assistants.list() return response.data except Exception as e: logger.error(f"Failed to list assistants: {str(e)}") raise
• src/mcp_server_openai/server.py:38-45 (registration)

  Registers the 'list-assistants' tool in the MCP server list_tools() handler, including its schema.
  types.Tool( name="list-assistants", description="List OpenAI assistants", inputSchema={ "type": "object", "properties": {} } ),
• src/mcp_server_openai/server.py:41-44 (schema)

  Input schema for the 'list-assistants' tool: empty object (no parameters required).
  inputSchema={ "type": "object", "properties": {} }