OpenAI Assistant MCP Server

Instructions

Implementation Reference

• src/mcp_server_openai/llm.py:87-94 (handler)

  Core handler implementation: uploads the file to OpenAI assistants using the OpenAI client.files.create API.

  async def upload_file(self, file_path: str):
      try:
          with open(file_path, "rb") as file:
              response = await self.client.files.create(file=file, purpose="assistants")
          return response
      except Exception as e:
          logger.error(f"Failed to upload file {file_path}: {str(e)}")
          raise

• src/mcp_server_openai/server.py:101-111 (registration)

  Tool registration in list_tools(), including name, description, and input schema.

  types.Tool(
      name="upload-file",
      description="Upload a file for use by assistants",
      inputSchema={
          "type": "object",
          "properties": {
              "file_path": {"type": "string", "description": "The local path to the file to upload"}
          },
          "required": ["file_path"]
      }
  ),

• src/mcp_server_openai/server.py:193-195 (handler)

  Dispatch handler in call_tool() that invokes the LLMConnector.upload_file method and formats the response.

  elif name == "upload-file":
      response = await connector.upload_file(arguments["file_path"])
      return [types.TextContent(type="text", text=f"File uploaded: {response.filename}, ID: {response.id}")]