How to Use the IPGeolocation.io MCP in Pydantic AI

Q: Does the toolset support bulk IP lookups?

Yes. You can use bulksecurity to validate up to 50 IP addresses at once. The response is parsed into a list of strongly typed security models that your agent can loop through safely.

Bring type-safe IP geolocation and threat intelligence to your Pydantic AI agents with strict runtime schema validation.

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Connect IPGeolocation.io MCP to Pydantic AI

Create your Vinkius account to connect IPGeolocation.io 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 IPGeolocation.io with Pydantic AI

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Type-safe IP security and proxy detection

The `get_security` tool returns detailed threat metrics, including VPN, proxy, and Tor exit node detection. Pydantic AI validates this API response against strict schemas at runtime, preventing malformed payloads from corrupting your agent's state. If you need to trace malicious activity further, the `get_abuse` tool fetches registrar abuse contact details. Because the tool outputs are strictly typed, your agent can parse fields like email and phone numbers without risking runtime crashes.

Bulletproof timezone calculations via MCP Server

The `convert_timezone` tool handles conversions between arbitrary timezones with zero guesswork. Your agent uses this tool to manage scheduling, while Pydantic AI ensures the resulting timestamps conform to your application's schema. You can also query `get_astronomy` to fetch solar and lunar data for specific coordinates. This MCP Server setup guarantees that sunrise and sunset times are parsed as valid datetime objects, eliminating common timezone math bugs.

Structured bulk metadata parsing

The `bulk_user_agent` tool parses batches of browser strings into structured device, OS, and engine models. Your agent processes these lists knowing that every single browser profile matches your expected Python types. This works alongside `bulk_security` for batch IP checks. The server processes the requests, and the framework validates the array of objects, letting your agent run complex security logic on clean, verified data.

Setup guide

Set up IPGeolocation.io 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": {
        "ipgeolocationio-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

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

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

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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 IPGeolocation.io. 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 IPGeolocation.io MCP in Pydantic AI

Use the MCPToolset class with your Vinkius HTTP endpoint. Pass the toolset instance into the toolsets argument of your Agent. The framework handles tool discovery and schema generation automatically.

The framework raises a validation error immediately. Instead of letting your agent hallucinate or process corrupt fields, the execution halts loudly, allowing you to catch API drift or schema mismatches.

Yes. The framework is model-agnostic. You can run your agent on Ollama or Llamafile, and it will still use `get_ipgeo` and other tools via the standard MCP protocol.

Yes. You can use `bulk_security` to validate up to 50 IP addresses at once. The response is parsed into a list of strongly typed security models that your agent can loop through safely.

The server runs in a secure V8 isolate on Vinkius. Your IP queries, User-Agent strings, and timezone requests are processed ephemerally, ensuring that sensitive infrastructure data is never cached or exposed to third parties.

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