How to Use the UserStack User-Agent Lookup MCP in Pydantic AI

Q: How does UserStack User-Agent Lookup work with Pydantic AI?

The MCP Server exposes the detectuseragent tool. Your agent calls this, and Pydantic validates the output structure against your defined models before your code ever sees it.

Q: Can I use UserStack User-Agent Lookup in my Pydantic AI projects?

Yes. You pass the MCP toolset to your Agent, treating UserStack User-Agent Lookup as one of the core tools that must adhere to type safety rules.

Get validated User-Agent details for Pydantic AI development.

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Connect UserStack User-Agent Lookup MCP to Pydantic AI

Create your Vinkius account to connect UserStack User-Agent Lookup 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.

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Setup UserStack User-Agent Lookup with Pydantic AI

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Validate Client Context with MCP Server

The `detect_user_agent` tool takes a raw User-Agent string and reliably returns the device, browser, and OS type. This structured output lets your agent know exactly what kind of client is making the call. Because you're using Pydantic AI, this output automatically validates against your schema. If anything unexpected comes back, your agent fails loud—you never get silent corruption.

Use MCP Server Tools with Pydantic AI

You pass the `UserStack User-Agent Lookup` toolset to your Agent. Every time an action is taken that requires knowing the client's context, it runs through this validated mechanism. This guarantees that when your agent uses the device/browser data, the structure of that data hasn't changed and won't break your code.

Ensure Correctness with MCP Server

The UA lookup provides clean context (device, browser, OS). Pydantic ensures this context is always delivered in the exact format your Python code expects. No more dealing with unexpected JSON fields. For type-safe production agents where correctness trumps speed, this validation layer is non-negotiable.

Setup guide

Set up UserStack User-Agent Lookup 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": {
        "userstack-user-agent-lookup-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

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

result = await agent.run("List recent UserStack User-Agent Lookup transactions")
print(result.output)

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Common questions about UserStack User-Agent Lookup MCP in Pydantic AI

The MCP Server exposes the `detect_user_agent` tool. Your agent calls this, and Pydantic validates the output structure against your defined models before your code ever sees it.

Yes. You pass the MCP toolset to your Agent, treating `UserStack User-Agent Lookup` as one of the core tools that must adhere to type safety rules.

It provides device, browser, and OS information. The key here is that this structured output gets validated by Pydantic at runtime before your agent uses it.

Yes. By validating the context provided by the UA lookup, you eliminate entire classes of bugs caused by unexpected or malformed API responses.

The server processes the raw User-Agent string. The resulting structured output passed to your agent is limited to device, browser, and OS type.

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