How to Use the IPinfo MCP in Pydantic AI

Q: How do I import the IPinfo MCP Server into my Pydantic AI project?

Add the pydantic-ai-slimmcp dependency and initialize your toolset. This connects the MCP Server securely.

Q: Does the Pydantic AI integration support the deprecated HTTP class?

No, you should use the unified MCPToolset approach. This ensures compatibility with the latest Pydantic AI releases and simplifies connection management for your IP tools.

Get type-safe IP geolocation and ASN details in Pydantic AI with runtime validation that prevents hallucinated network data.

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Connect IPinfo MCP to Pydantic AI

Create your Vinkius account to connect IPinfo 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 IPinfo with Pydantic AI

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Validate IP ranges in Pydantic AI

Querying the `get_ip_range` tool retrieves CIDR blocks and network allocations. When using Pydantic AI, every piece of range data returned by this tool is validated against strict schemas before your agent can act on it. If the underlying API returns malformed range strings, the framework raises a validation error immediately. This prevents your security agents from acting on corrupted IP blocks or failing silently during critical firewall updates.

Extract verified geographic coordinates

Providing precise latitude, longitude, and regional data, the `get_ip_details` tool helps you geolocate incoming requests and verify user compliance. Because the framework is model-agnostic, you can use these tools with OpenAI, Anthropic, or local models. The runtime validation ensures that whichever model you choose, the geographic coordinate structures are parsed correctly every time.

Verify server outbound network paths

To identify the public IP and network environment of your running agent, use the `get_own_ip_details` tool. This registers the MCP Server directly into your type-safe environment. This ensures your self-auditing security agents always have verified, typed data about their own host environment.

Setup guide

Set up IPinfo 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": {
        "ipinfo-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

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

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

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Common questions about IPinfo MCP in Pydantic AI

Add the `pydantic-ai-slim[mcp]` dependency and initialize your toolset. This connects the MCP Server securely.

The framework will fail loudly with a validation error rather than letting the agent hallucinate fields. This guarantees your code only processes verified IP and ASN structures.

Yes, but the framework requires the server to run externally. You can host the server on Vinkius and connect via the SSE or Streamable HTTP transport options.

No, you should use the unified `MCPToolset` approach. This ensures compatibility with the latest Pydantic AI releases and simplifies connection management for your IP tools.

We handle all IP address queries through isolated, single-tenant runtimes. The network metadata, coordinates, and ASN details are discarded immediately after the validation check, preventing any data leaks.

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