How to Use the IP Address Parser MCP in Pydantic AI

Get type-safe, validated IP address metadata directly in your Pydantic AI agent workflows with zero runtime surprises.

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Connect IP Address Parser MCP to Pydantic AI

Create your Vinkius account to connect IP Address Parser 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 IP Address Parser with Pydantic AI

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Type-safe network validation for Pydantic AI

The `parse_ip_address` tool returns strictly typed IP metadata that fits perfectly into your runtime validation schemas. This eliminates the risk of your agent receiving malformed network strings. If the underlying parser detects an invalid IP, it fails predictably rather than returning corrupt data to your Pydantic AI model. Your downstream Python models will only process valid network objects.

Resolve CIDR ranges using a verified MCP Server

The `parse_ip_address` tool parses complex CIDR notations and identifies the underlying IP range types. It provides the exact mathematical boundaries of any subnet. Your Pydantic AI agent can use this structured data to verify if a specific host falls within an allowed block. This prevents routing errors in automated network configuration scripts.

Convert IP families with zero runtime overhead

The `parse_ip_address` tool translates IPv4 addresses into their IPv6 equivalents using standard mapping rules. It relies on the industry-standard parsing library for guaranteed correctness. This native translation ensures your Pydantic AI agent can interact with modern dual-stack environments. It removes the need for complex, error-prone string manipulation in your Python code.

Setup guide

Set up IP Address Parser 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": {
        "ip-address-parser-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

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

result = await agent.run("List recent IP Address Parser transactions")
print(result.output)

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Common questions about IP Address Parser MCP in Pydantic AI

Use the unified toolset class to initialize the server with its HTTP endpoint. Pass this toolset directly into your agent definition. The framework handles the schema mapping and validation automatically.

Yes, the tool returns structured JSON that maps directly to your Pydantic models. Any invalid input triggers a standard validation error immediately. This keeps your agent's state clean and predictable.

This MCP server offloads the parsing logic to a highly optimized, battle-tested engine that handles edge cases consistently across different environments. It allows your agent to query network metadata without bundling heavy local dependencies. This simplifies your production deployment footprint.

Yes, the parser detects and converts mapped addresses automatically. It identifies the underlying family and extracts the correct routing information. Your agent gets consistent data regardless of the protocol.

All IP addresses and CIDR ranges are processed within an isolated V8 sandbox. The server does not store, cache, or transmit your network data to any external loggers. Your sensitive infrastructure details are protected at the runtime level.

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