Stdio MCP Server Skill

This skill helps create and configure stdio Model Context Protocol (MCP) server connections for OpenAI Agents SDK.

Purpose

• •Create MCPServerStdio configurations
• •Configure local subprocess parameters
• •Connect to MCP servers that run as local processes
• •Use stdio transport for local MCP server communication

MCPServerStdio Constructor Parameters

• •params (MCPServerStdioParams): Process parameters for the server
  • •command (str): The executable to run to start the server (e.g., python or node)
  • •args (list[str], optional): Command line args to pass to the command (e.g., ['foo.py'] or ['server.js', '--port', '8080'])
  • •env (dict[str, str], optional): The environment variables to set for the server
  • •cwd (str | Path, optional): The working directory to use when spawning the process
  • •encoding (str, optional): The text encoding used when sending/receiving messages to the server (default: utf-8)
  • •encoding_error_handler (Literal["strict", "ignore", "replace"], optional): The text encoding error handler (default: strict)
• •cache_tools_list (bool): Whether to cache the list of available tools (default: False)
• •name (string | None): A readable name for the server (default: None, auto-generated)
• •client_session_timeout_seconds (float | None): The read timeout passed to the MCP ClientSession (default: 5)
• •tool_filter (ToolFilter): The tool filter to use for filtering tools (default: None)
• •use_structured_content (bool): Whether to use tool_result.structured_content when calling an MCP tool (default: False)
• •max_retry_attempts (int): Number of times to retry failed list_tools/call_tool calls (default: 0)
• •retry_backoff_seconds_base (float): The base delay, in seconds, for exponential backoff between retries (default: 1.0)
• •message_handler (MessageHandlerFnT | None): Optional handler invoked for session messages (default: None)

Usage Context

Use this skill when:

• •Working with MCP servers that run as local subprocesses
• •Needing to communicate with command-line MCP server implementations
• •Using stdio-based MCP server implementations
• •Running MCP servers in local development environments
• •When the server only exposes a command line entry point

Basic Example

import asyncio
from pathlib import Path
from agents import Agent, Runner
from agents.mcp import MCPServerStdio

current_dir = Path(__file__).parent
samples_dir = current_dir / "sample_files"

async def main() -> None:
    async with MCPServerStdio(
        name="Filesystem Server via npx",
        params={
            "command": "npx",
            "args": ["-y", "@modelcontextprotocol/server-filesystem", str(samples_dir)],
        },
    ) as server:
        agent = Agent(
            name="Assistant",
            instructions="Use the files in the sample directory to answer questions.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List the files available to you.")
        print(result.final_output)

asyncio.run(main())