openai-tool2mcp

Instructions

Implementation Reference

• openai_tool2mcp/tools/code_interpreter.py:7-69 (handler)

  CodeInterpreterAdapter class provides the core handler logic for the 'code-execution' tool, including translating MCP requests to OpenAI code interpreter parameters and responses back to MCP format.
  class CodeInterpreterAdapter(ToolAdapter): """Adapter for OpenAI's code interpreter tool""" @property def tool_id(self) -> str: """Get the MCP tool ID""" return "code-execution" @property def openai_tool_type(self) -> str: """Get the OpenAI tool type""" return "code_interpreter" @property def description(self) -> str: """Get the tool description""" return "Execute code and return the result" async def translate_request(self, request: MCPRequest) -> dict: """ Translate MCP request to OpenAI parameters Args: request: The MCP request to translate Returns: Dictionary of OpenAI parameters """ # Extract code to execute code = request.parameters.get("code", "") language = request.parameters.get("language", "python") logger.debug(f"Translating code execution request with language: {language}") # Return OpenAI parameters return {"code": code, "language": language} async def translate_response(self, response: dict) -> MCPResponse: """ Translate OpenAI response to MCP response Args: response: The OpenAI response to translate Returns: MCP response object """ # Extract execution result result = response.get("result", {}) logger.debug("Translating code execution response") # Format result as markdown content = format_code_result(result) # Check for errors error = None if isinstance(result, dict) and "error" in result: error = result["error"] # Return MCP response return MCPResponse(content=content, error=error, context={"language": response.get("language", "python")})
• openai_tool2mcp/tools/registry.py:43-47 (registration)

  Registration of the 'code-execution' tool in ToolRegistry, mapping it to OpenAI's code_interpreter tool.
  "code-execution": { "openai_tool": OpenAIBuiltInTools.CODE_INTERPRETER.value, "enabled": OpenAIBuiltInTools.CODE_INTERPRETER.value in self.enabled_tools, "description": "Execute code in a sandbox environment", },
• openai_tool2mcp/server.py:48-60 (registration)

  Instantiation of CodeInterpreterAdapter and mapping to tool_id 'code-execution' in the server's tools_map.
  def _build_tools_map(self): """Build a map of tool adapters""" tools_map = {} # Register default tool adapters adapters = [WebSearchAdapter(), CodeInterpreterAdapter(), BrowserAdapter(), FileManagerAdapter()] for adapter in adapters: # Only register if the tool is enabled if adapter.openai_tool_type in self.config.tools: tools_map[adapter.tool_id] = adapter return tools_map
• openai_tool2mcp/server.py:62-114 (handler)

  Dynamic registration of MCP tools including 'code-execution' using @mcp.tool decorator, with a generic handler that delegates to the specific adapter's translate methods and invokes OpenAI.
  def _register_mcp_tools(self): """Register tools with the MCP SDK""" for tool_id, adapter in self.tools_map.items(): # Define a tool handler for each adapter # Create a closure to properly capture the values def create_tool_handler(tool_id=tool_id, adapter=adapter): @self.mcp.tool(name=tool_id, description=adapter.description) async def tool_handler(**parameters): """ MCP tool handler for OpenAI tools. """ # Create an MCP request from the parameters mcp_request = MCPRequest(parameters=parameters) # Translate the request parameters using the adapter translated_params = await adapter.translate_request(mcp_request) # Create an OpenAI tool request openai_request = mcp_to_openai.translate_request(mcp_request, tool_id) # Override the parameters with the adapter-specific ones openai_request.parameters = translated_params try: # Call OpenAI API to execute the tool openai_response = await self.openai_client.invoke_tool(openai_request) # Translate the OpenAI response to MCP format using the adapter if openai_response.tool_outputs: # Use the adapter to translate the tool-specific response mcp_response = await adapter.translate_response(openai_response.tool_outputs[0].output) # Add thread_id to context for state management if mcp_response.context is None: mcp_response.context = {} mcp_response.context["thread_id"] = openai_response.thread_id # Return the response content which will be used by MCP SDK return mcp_response.content else: # Fallback to generic translation mcp_response = openai_to_mcp.translate_response(openai_response) return mcp_response.content except Exception as e: logger.error(f"Error invoking tool {tool_id}: {e!s}") # Using custom exception class to fix TRY003 raise ToolInvocationError() from e return tool_handler # Create and register the tool handler create_tool_handler()
• openai_tool2mcp/translator/mcp_to_openai.py:41-62 (helper)

  Helper function mapping 'code-execution' MCP tool ID to OpenAI 'code_interpreter' type.
  def map_tool_id_to_openai_type(tool_id: str) -> str: """ Map MCP tool IDs to OpenAI tool types. Args: tool_id: MCP tool ID Returns: OpenAI tool type """ mapping = { "web-search": "retrieval", "code-execution": "code_interpreter", "browser": "web_browser", "file-io": "file_search", } openai_type = mapping.get(tool_id, tool_id) logger.debug(f"Mapped MCP tool ID {tool_id} to OpenAI tool type {openai_type}") return openai_type