OpenAI Agents SDK + Multiple MCP Servers

pip install -U openai-agents
npm install -g npx

display_information:
  name: Test MCP Connector
features:
  bot_user:
    display_name: Test MCP Connector
oauth_config:
  scopes:
    bot:
      - channels:history
      - channels:read
      - chat:write
      - reactions:write
      - users:read

# Settings > Install App > Bot User OAuth Token
export SLACK_BOT_TOKEN=xoxb-....

# You can find this by running the following API call:
# curl -s -XPOST https://slack.com/api/auth.test -H"Authorization: Bearer ${SLACK_BOT_TOKEN}" | jq .team_id
export SLACK_TEAM_ID=T....

#
# Demo: OpenAI Agents SDK + MCP Servers
#
# How to run this app:
# $ pip install -U openai-agents
# $ python app.py
#
# See also:
#  - https://openai.github.io/openai-agents-python/mcp/
#  - https://github.com/openai/openai-agents-python/tree/main/examples/mcp
#  - https://github.com/modelcontextprotocol/servers/tree/main/src/

import asyncio

import os
import shutil
import logging

from agents import Agent, Runner, gen_trace_id, trace
from agents.mcp import MCPServerStdio


logging.basicConfig(level=logging.WARNING)

# If you want to see more logs, enable the following lines:
# logging.basicConfig(level=logging.INFO)
# logging.getLogger("openai.agents").setLevel(logging.DEBUG)


async def main():

    # ----------------------------------------------------
    # Filesystem MCP Server
    # ----------------------------------------------------
    # How to enable this server:
    # Step 1: Set the directory you wish to allow access
    path_to_allow_access = os.path.dirname(os.path.abspath(__file__))
    fs_command = f"npx -y @modelcontextprotocol/server-filesystem {path_to_allow_access}"
    fs_server = MCPServerStdio(
        name="FS MCP Server",
        params={"command": fs_command.split(" ")[0], "args": fs_command.split(" ")[1:]},
    )

    # ----------------------------------------------------
    # Slack MCP Server
    # ----------------------------------------------------
    # How to enable this server:
    # Step 1: Head to https://api.slack.com/apps and then create a new app using the following YAML:
    """
display_information:
  name: Test MCP Connector
features:
  bot_user:
    display_name: Test MCP Connector
oauth_config:
  scopes:
    bot:
      - channels:history
      - channels:read
      - chat:write
      - reactions:write
      - users:read
    """
    # Step 2: Install the app into your Slack workspace and then set the following two variables:
    # export SLACK_BOT_TOKEN=xoxb-....
    # export SLACK_TEAM_ID=T....
    # Step 3: Invite "Test MCP Connector" to the channels you want to read/write via MCP
    slack_command = "npx -y @modelcontextprotocol/server-slack"
    slack_server = MCPServerStdio(
        name="Slack MCP Server",
        params={
            "command": slack_command.split(" ")[0],
            "args": slack_command.split(" ")[1:],
            "env": {
                "SLACK_BOT_TOKEN": os.environ["SLACK_BOT_TOKEN"],
                "SLACK_TEAM_ID": os.environ["SLACK_TEAM_ID"],
            },
        },
    )

    # ----------------------------------------------------
    # Run the agentic workflow with these two MCP servers
    # ----------------------------------------------------
    async with fs_server as fs, slack_server as slack:
        trace_id = gen_trace_id()
        print(f"View trace: https://platform.openai.com/traces/{trace_id}\n")

        with trace(workflow_name="Multi-MCP Server Demo Workflow", trace_id=trace_id):
            agent = Agent(
                name="OpenAI Agent w/ MCP Servers",
                instructions="Use the tools to access the filesystem and slack workspaces.",
                mcp_servers=[fs, slack],
            )
            prompt = input("Enter a prompt (MCP servers (fs, slack) are available): ")
            result = await Runner.run(starting_agent=agent, input=prompt)
            print(result.final_output)


if __name__ == "__main__":
    if not shutil.which("npx"):
        error = "npx is not installed. Please install it with `npm install -g npx`."
        raise RuntimeError(error)

    asyncio.run(main())

$ python app.py

Secure MCP Filesystem Server running on stdio
Allowed directories: [ '/Users/seratch/tmp/mcp-sample' ]
Starting Slack MCP Server...
Connecting server to transport...
Slack MCP Server running on stdio
View trace: https://platform.openai.com/traces/trace_*****************

Enter a prompt (MCP servers (fs, slack) are available): Can you help me find where app.py is, and also let me know the summary of the last 10 hours in #cat-lovers (C06CS8GRPC2)?

Received ListToolsRequest

Received CallToolRequest: {
  method: 'tools/call',
  params: {
    name: 'slack_get_channel_history',
    arguments: { channel_id: 'C06CS8GRPC2', limit: 100 }
  }
}

The `app.py` file is located at:

- `/Users/seratch/tmp/app.py`

### Summary from #cat-lovers in the last 10 hours:

1. **User <@U08KR020GLA> joined the channel.**

2. **User <@U03E94MK0> shared:**
   - Tried doing yoga, but the cat assumed it was “attack the moving limbs” hour 🧘‍♂️🧶
   - Mentioned their cat zooming around the house like she’s late for a nap 🐈💨
   - Reminded everyone that every keyboard serves as a cat bed, intended or not 🐾🧶⌨️

Feel free to ask if you need more information or any further assistance!