How to Use the Boeing Developer Tools MCP in OpenAI Agents SDK

Q: How does the MCP Server handle token caching with OpenAI Agents SDK?

Set cacheToolsList=True in your Streamable HTTP parameters when initializing the Boeing connection in your python script. This prevents the OpenAI runner from making redundant schema requests every time it checks part pricing.

Connect the Boeing Developer Tools MCP Server to your OpenAI Agents SDK production pipeline.

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Connect Boeing Developer Tools MCP to OpenAI Agents SDK

Create your Vinkius account to connect Boeing Developer Tools to OpenAI Agents SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Boeing Developer Tools with OpenAI Agents SDK

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Verify supply chains with OpenAI Agents SDK

Stop guessing if parts are in stock. This MCP toolset lets your python agent use `search_boeing_parts` to scan global inventories and instantly check prices with `check_part_availability`. Because you are running on OpenAI's framework, you can set up a guardrail agent that blocks unauthorized purchases before they hit your ERP. The system logs every single parts query in your central dashboard, handling agent handoffs smoothly.

Real-time runway and aerodrome monitoring

Live airport operations demand absolute accuracy. This MCP Server exposes `get_runway_monitor` and `get_taxi_time` so your agents can calculate actual runway congestion and transit times on the fly. You get raw, unvarnished Jeppesen data directly inside your agentic loops. Ground control agents use `get_aerodrome_details` to verify airport layouts before suggesting route adjustments, while OpenAI's native tracing shows you the exact tool input and output for debugging.

Live flight event tracking and airspace safety

Flight paths change fast. Your agent calls `get_flight_events` to monitor active flights and queries `get_airspace_info` to flag temporary flight restrictions or airspace metadata. To keep pilots updated, the agent pulls active warnings with `search_notams`. Running these checks inside the OpenAI framework means you can run parallel validation steps, ensuring no outdated NOTAM ever reaches an active flight deck or flight plan.

Setup guide

Set up Boeing Developer Tools MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all Boeing Developer Tools tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives Boeing Developer Tools tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Boeing Developer Tools tools and returns structured results. Copy the full example on the right to get started.

agent.py

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="Boeing Developer Tools Agent",
            instructions="You have access to Boeing Developer Tools tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Boeing. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Boeing Developer Tools MCP in OpenAI Agents SDK

Install openai-agents via pip and define the streamable HTTP parameters pointing to your Vinkius endpoint. When you pass this server to the Agent constructor, it auto-discovers Boeing tools like `search_boeing_parts` instantly.

Yes, the OpenAI framework natively requests multiple tool executions like `get_taxi_time` and `get_runway_monitor` in parallel. This lets your flight operations agent evaluate runway congestion and gate delays in one turn.

Set `cacheToolsList=True` in your Streamable HTTP parameters when initializing the Boeing connection in your python script. This prevents the OpenAI runner from making redundant schema requests every time it checks part pricing.

You can filter the tool schema list before passing it to the Agent constructor in your python code. This blocks your OpenAI agents from accessing sensitive specs like `get_aircraft_specs` while keeping parts searches active.

Your aircraft part queries and airport codes are processed in an ephemeral Vinkius sandbox that never stores payload data. OpenAI only uses the transient tool outputs to answer your prompt, keeping your flight operations data secure.

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