How to Use the United Airlines MCP in Pydantic AI

Q: How do I plan a trip with United Airlines and Pydantic AI?

You use getfutureflights specifying the date. The response is validated, giving you structured details on flight numbers, times, gates, and aircraft types for upcoming United Airlines operations.

Q: Can I check current airport data for United Airlines using Pydantic AI?

Yes, getairportinfo provides a validated structure containing the full name, city, country, coordinates, and timezone of any served airport. This is great for front-end displays.

Q: What if I need to compare current status with past data using United Airlines and Pydantic AI?

Your agent can first check real-time status with getflightstatus, then use that flight number later to pull historical records via getflighthistory. The structured output guarantees consistency between the two time periods.

Validate complex United Airlines data using Pydantic AI.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect United Airlines MCP to Pydantic AI

Create your Vinkius account to connect United Airlines to Pydantic AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Setup United Airlines with Pydantic AI

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Structured Status Reports for United Airlines

When you call `get_arrivals` or `get_departures`, the agent doesn't just give text. It returns validated JSON containing flight numbers, origin airports, scheduled times, gates, and current status—no hallucinated fields. This structured output is perfect for building reliable reports because Pydantic ensures every field you expect from United Airlines is present and correct.

Comprehensive Network Mapping

Do you need to know everything about a single airport? `get_airport_info` returns structured data: name, city, country, coordinates, and timezone. This makes building location databases rock solid. For understanding United's reach, the `get_airline_routes` tool validates every origin-destination pair, ensuring your network map is built on reliable data structures.

Advanced Flight Planning & Analysis

The agent uses `get_flight_by_number` to pull the typical schedule and route for a specific flight number, giving you structured details about its usual path. It's reliable planning data. For deep dives, running `get_flight_history` provides validated records of past performance metrics (delays/cancellations) that your agent can ingest without worrying about malformed fields.

Setup guide

Set up United Airlines MCP in Pydantic AI

Prerequisites

Python 3.10+ installed
pydantic-ai-slim[fastmcp] package
Active Vinkius subscription with a valid endpoint token

1

Install Pydantic AI with FastMCP
Run pip install "pydantic-ai-slim[fastmcp]". The FastMCP toolset replaces the deprecated MCPServerHTTP class with full protocol support.
2

Configure the FastMCPToolset
Pass a JSON-style config dict to FastMCPToolset with your Vinkius URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports Streamable HTTP, SSE, and Stdio transports.
3

Create and run your agent
Pass the toolset to Agent(toolsets=[toolset]) and call agent.run(). Swap openai:gpt-4o for any supported model — Anthropic, Google, Mistral, or Groq.

agent.py

from pydantic_ai import Agent
from pydantic_ai.toolsets.fastmcp import FastMCPToolset

toolset = FastMCPToolset({
    "mcpServers": {
        "united-airlines-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

agent = Agent(
    "openai:gpt-4o",
    toolsets=[toolset],
    system_prompt="You have access to United Airlines tools.",
)

result = await agent.run("List recent United Airlines transactions")
print(result.output)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by United Airlines. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect United Airlines now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about United Airlines MCP in Pydantic AI

You use `get_future_flights` specifying the date. The response is validated, giving you structured details on flight numbers, times, gates, and aircraft types for upcoming United Airlines operations.

Yes, `get_airport_info` provides a validated structure containing the full name, city, country, coordinates, and timezone of any served airport. This is great for front-end displays.

Your agent can first check real-time status with `get_flight_status`, then use that flight number later to pull historical records via `get_flight_history`. The structured output guarantees consistency between the two time periods.

Because every response is validated against a defined schema, your agent won't process garbage. It forces correctness, meaning when you pull all routes with `get_airline_routes`, the resulting dataset is guaranteed to have the expected fields.

The server touches real-time operational data, including scheduled times, estimated times, gate assignments, terminal information, and the current state (active, delayed, etc.) for United Airlines flights.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript