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Overview

OpenAI Agents SDK includes native MCP support with MCPServerStreamableHttp, enabling direct integration with StackOne’s MCP server. Official Docs

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Installation

pip install openai-agents
Or with uv: 
uv add openai-agents

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Quick Start

Connect to StackOne MCP and use tools with OpenAI agents: 
import os
import asyncio
import base64
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp, MCPServerStreamableHttpParams

# Configure StackOne account
STACKONE_ACCOUNT_ID = "<account_id>"  # Your StackOne account ID

# Encode API key for Basic auth
auth_token = base64.b64encode(
    f"{os.getenv('STACKONE_API_KEY')}:".encode()
).decode()

async def main():
    # Create MCP server connection
    stackone_mcp = MCPServerStreamableHttp(
        params=MCPServerStreamableHttpParams(
            url="https://api.stackone.com/mcp",
            headers={
                "Authorization": f"Basic {auth_token}",
                "x-account-id": STACKONE_ACCOUNT_ID
            }
        )
    )

    # Use async context manager to connect/disconnect automatically
    async with stackone_mcp:
        # Create agent with StackOne tools
        agent = Agent(
            name="stackone-assistant",
            model="gpt-5",
            mcp_servers=[stackone_mcp]
        )

        # Run agent
        result = await Runner.run(agent, "List Salesforce accounts")
        print(result.final_output)

asyncio.run(main())

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Environment Variables

STACKONE_API_KEY=<stackone_api_key>
OPENAI_API_KEY=your_openai_key

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Multi-Turn Conversation

Pass previous messages as context for follow-up questions: 
import os
import asyncio
import base64
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp, MCPServerStreamableHttpParams

STACKONE_ACCOUNT_ID = "<account_id>"
auth_token = base64.b64encode(
    f"{os.getenv('STACKONE_API_KEY')}:".encode()
).decode()

async def main():
    stackone_mcp = MCPServerStreamableHttp(
        params=MCPServerStreamableHttpParams(
            url="https://api.stackone.com/mcp",
            headers={
                "Authorization": f"Basic {auth_token}",
                "x-account-id": STACKONE_ACCOUNT_ID
            }
        )
    )

    async with stackone_mcp:
        agent = Agent(
            name="stackone-assistant",
            model="gpt-5",
            mcp_servers=[stackone_mcp]
        )

        # First turn
        result = await Runner.run(agent, "List Salesforce accounts")
        print(result.final_output)

        # Continue conversation — pass previous output as context
        result = await Runner.run(
            agent,
            "Show me the most recent account activities",
            context=result.context
        )
        print(result.final_output)

asyncio.run(main())

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Resources

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Next Steps

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