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How to Use the Liftoff MCP in Pydantic AI

Bring strict runtime validation to your mobile ad analytics using Pydantic AI.

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Works with every AI agent you already use

…and any MCP-compatible client

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Pydantic AI

Connect Liftoff MCP to Pydantic AI

Create your Vinkius account to connect Liftoff 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

Validate mobile ad schemas at runtime

The `list_liftoff_apps` tool fetches all mobile applications registered to your account and validates their structure against the MCP schema. This guarantees that your agent never processes malformed or unexpected app metadata during execution. If the API payload changes, the system raises a validation error immediately rather than corrupting downstream pipelines. You can safely pass the validated data directly to any LLM provider without worrying about silent failures.

Secure campaign spend tracking with Pydantic AI

The `get_spend_metrics` tool returns synchronous spend and performance metrics that map directly to typed Python classes. This ensures your budget tracking tools always receive valid numeric values for spend and conversion metrics. By exposing this toolset to your Pydantic AI agent, you enforce strict type checking on every API response. Your agent can confidently make budget decisions knowing the underlying financial data matches your expected schemas.

Manage asynchronous report pipelines safely

The `request_performance_report` tool initiates an asynchronous report request with strict date validation enforced at the client level. This prevents your agent from sending invalid date formats to the underlying REST API. Your agent uses `get_report_status` to monitor the generation progress and `download_report_results` to retrieve the finalized CSV payload. Every step of this pipeline conforms to typed models, making your data collection pipeline highly reliable.

Setup guide

Set up Liftoff MCP in Pydantic AI

Prerequisites

  • Python 3.10+ installed
  • pydantic-ai-slim[fastmcp] package
  • Active Vinkius subscription with a valid endpoint token
  1. 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. 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. 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": {
        "liftoff-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

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

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

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

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 Liftoff MCP in Pydantic AI

Instantiate an `MCPToolset` pointing to your Vinkius MCP HTTP endpoint. Pass this toolset directly into the `toolsets` argument when initializing your agent.
Yes, this framework is entirely model-agnostic. You can use the validated tools with OpenAI, Anthropic, Gemini, or local models running via Ollama.
The framework catches the mismatch at the runtime boundary and raises a validation error. This prevents your agent from hallucinating properties or writing corrupted data to your databases.
Yes, you can call the creative listing tool to retrieve active assets. The returned metadata is parsed directly into structured Python objects for easy manipulation.
Your advertising spend, campaign performance, and creative metadata are processed inside an ephemeral V8 Isolate Sandbox. Vinkius maintains a zero-trust architecture, ensuring your credentials and raw payloads are never stored on disk.

Start using the Liftoff MCP today

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Built & Managed by Vinkius 30s setup 7 tools

We've already built the connector for Liftoff. Just plug in your AI agents and start using Vinkius.

No hosting. No infrastructure. No complex setup.
All 7 tools are live and waiting. You're up and running in seconds.

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