SIGN UPLOG IN
X (Twitter)LinkedInGitHubDiscordYouTube

How to integrate Geocodio MCP with Pydantic AI

Connect Pydantic AI to Geocodio MCP. Convert a list of addresses to coordinates, find school district for a specific address, and more using natural language, with authentication handled for you.

Get started for freeGet a demo
Geocodio logoGeocodio
Api Key

Geocodio offers fast, accurate geocoding and reverse geocoding for US and Canadian addresses. It's perfect for adding location intelligence and address matching without heavy setup.

7 Tools

Introduction

This guide walks you through connecting Geocodio to Pydantic AI using the Composio tool router. By the end, you'll have a working Geocodio agent that can geocode addresses, reverse geocode coordinates, batch process address lists, and run Google Maps compatible lookups through natural language commands.

This guide will help you understand how to give your Pydantic AI agent real control over a Geocodio account through Composio's Geocodio MCP server.

Before we dive in, let's take a quick look at the key ideas and tools involved.

Also integrate Geocodio with

Claude CodeClaude CoworkOpenAI Agents SDKClaude Agent SDKCodexOpenClawHermesAtomic AgentGoogle ADKLangChainVercel AI SDKMastra AILlamaIndexCrewAIAutoGen

TL;DR

Here's what you'll learn:
  • How to set up your Composio API key and User ID
  • How to create a Composio Tool Router session for Geocodio
  • How to attach an MCP Server to a Pydantic AI agent
  • How to stream responses and maintain chat history
  • How to build a simple REPL-style chat interface to test your Geocodio workflows

What is Pydantic AI?

Pydantic AI is a Python framework for building AI agents with strong typing and validation. It leverages Pydantic's data validation capabilities to create robust, type-safe AI applications.

Key features include:

  • Type Safety: Built on Pydantic for automatic data validation
  • MCP Support: Native support for Model Context Protocol servers
  • Streaming: Built-in support for streaming responses
  • Async First: Designed for async/await patterns

What is the Geocodio MCP server, and what's possible with it?

The Geocodio MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Geocodio account. It provides structured and secure access to geocoding, reverse geocoding, and data enrichment features for US and Canadian locations, so your agent can look up coordinates, convert addresses, and append valuable geographic or demographic data on your behalf.

  • Address geocoding and reverse geocoding: Instantly convert street addresses to latitude/longitude coordinates and vice versa, including single or batch operations for entire address lists or coordinate sets.
  • Geographic and demographic data enrichment: Automatically append detailed information like Congressional Districts, Census block/tract FIPS codes, metropolitan area codes, and school districts to your geocoded addresses.
  • Canadian-specific data augmentation: Enhance results with Canadian provincial electoral districts and official Statistics Canada boundaries for any Canadian address.
  • FFIEC Fair Lending data integration: Have your agent enrich addresses with federal lending and demographic metrics for compliance, analytics, or reporting.
  • Automated list and data management: Create, enrich, or delete geocoded lists, empowering your agent to handle large-scale address and location workflows efficiently.

What is the Composio tool router, and how does it fit here?

What is Composio SDK?

Composio's Composio SDK helps agents find the right tools for a task at runtime. You can plug in multiple toolkits (like Gmail, HubSpot, and GitHub), and the agent will identify the relevant app and action to complete multi-step workflows. This can reduce token usage and improve the reliability of tool calls. Read more here: Getting started with Composio SDK

The tool router generates a secure MCP URL that your agents can access to perform actions.

How the Composio SDK works

The Composio SDK follows a three-phase workflow:

  1. Discovery: Searches for tools matching your task and returns relevant toolkits with their details.
  2. Authentication: Checks for active connections. If missing, creates an auth config and returns a connection URL via Auth Link.
  3. Execution: Executes the action using the authenticated connection.

Step-by-step Guide

Step by step09 STEPS
1

Prerequisites

Before starting, make sure you have:
  • Python 3.9 or higher
  • A Composio account with an active API key
  • Basic familiarity with Python and async programming
2

Getting API Keys for OpenAI and Composio

OpenAI API Key
  • Go to the OpenAI dashboard and create an API key. You'll need credits to use the models, or you can connect to another model provider.
  • Keep the API key safe.
Composio API Key
  • Log in to the Composio dashboard.
  • Navigate to your API settings and generate a new API key.
  • Store this key securely as you'll need it for authentication.
3

Install dependencies

bash
pip install composio pydantic-ai python-dotenv

Install the required libraries.

What's happening:

  • composio connects your agent to external SaaS tools like Geocodio
  • pydantic-ai lets you create structured AI agents with tool support
  • python-dotenv loads your environment variables securely from a .env file
4

Set up environment variables

bash
COMPOSIO_API_KEY=your_composio_api_key_here
USER_ID=your_user_id_here
OPENAI_API_KEY=your_openai_api_key

Create a .env file in your project root.

What's happening:

  • COMPOSIO_API_KEY authenticates your agent to Composio's API
  • USER_ID associates your session with your account for secure tool access
  • OPENAI_API_KEY to access OpenAI LLMs
5

Import dependencies

python
import asyncio
import os
from dotenv import load_dotenv
from composio import Composio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerStreamableHTTP

load_dotenv()
What's happening:
  • We load environment variables and import required modules
  • Composio manages connections to Geocodio
  • MCPServerStreamableHTTP connects to the Geocodio MCP server endpoint
  • Agent from Pydantic AI lets you define and run the AI assistant
6

Create a Tool Router Session

python
async def main():
    api_key = os.getenv("COMPOSIO_API_KEY")
    user_id = os.getenv("USER_ID")
    if not api_key or not user_id:
        raise RuntimeError("Set COMPOSIO_API_KEY and USER_ID in your environment")

    # Create a Composio Tool Router session for Geocodio
    composio = Composio(api_key=api_key)
    session = composio.create(
        user_id=user_id,
        toolkits=["geocodio"],
    )
    url = session.mcp.url
    if not url:
        raise ValueError("Composio session did not return an MCP URL")
What's happening:
  • We're creating a Tool Router session that gives your agent access to Geocodio tools
  • The create method takes the user ID and specifies which toolkits should be available
  • The returned session.mcp.url is the MCP server URL that your agent will use
7

Initialize the Pydantic AI Agent

python
# Attach the MCP server to a Pydantic AI Agent
geocodio_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY})
agent = Agent(
    "openai:gpt-5",
    toolsets=[geocodio_mcp],
    instructions=(
        "You are a Geocodio assistant. Use Geocodio tools to help users "
        "with their requests. Ask clarifying questions when needed."
    ),
)
What's happening:
  • The MCP client connects to the Geocodio endpoint
  • The agent uses GPT-5 to interpret user commands and perform Geocodio operations
  • The instructions field defines the agent's role and behavior
8

Build the chat interface

python
# Simple REPL with message history
history = []
print("Chat started! Type 'exit' or 'quit' to end.\n")
print("Try asking the agent to help you with Geocodio.\n")

while True:
    user_input = input("You: ").strip()
    if user_input.lower() in {"exit", "quit", "bye"}:
        print("\nGoodbye!")
        break
    if not user_input:
        continue

    print("\nAgent is thinking...\n", flush=True)

    async with agent.run_stream(user_input, message_history=history) as stream_result:
        collected_text = ""
        async for chunk in stream_result.stream_output():
            text_piece = None
            if isinstance(chunk, str):
                text_piece = chunk
            elif hasattr(chunk, "delta") and isinstance(chunk.delta, str):
                text_piece = chunk.delta
            elif hasattr(chunk, "text"):
                text_piece = chunk.text
            if text_piece:
                collected_text += text_piece
        result = stream_result

    print(f"Agent: {collected_text}\n")
    history = result.all_messages()
What's happening:
  • The agent reads input from the terminal and streams its response
  • Geocodio API calls happen automatically under the hood
  • The model keeps conversation history to maintain context across turns
9

Run the application

python
if __name__ == "__main__":
    asyncio.run(main())
What's happening:
  • The asyncio loop launches the agent and keeps it running until you exit

Complete Code

Here's the complete code to get you started with Geocodio and Pydantic AI:

python
import asyncio
import os
from dotenv import load_dotenv
from composio import Composio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerStreamableHTTP

load_dotenv()

async def main():
    api_key = os.getenv("COMPOSIO_API_KEY")
    user_id = os.getenv("USER_ID")
    if not api_key or not user_id:
        raise RuntimeError("Set COMPOSIO_API_KEY and USER_ID in your environment")

    # Create a Composio Tool Router session for Geocodio
    composio = Composio(api_key=api_key)
    session = composio.create(
        user_id=user_id,
        toolkits=["geocodio"],
    )
    url = session.mcp.url
    if not url:
        raise ValueError("Composio session did not return an MCP URL")

    # Attach the MCP server to a Pydantic AI Agent
    geocodio_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY})
    agent = Agent(
        "openai:gpt-5",
        toolsets=[geocodio_mcp],
        instructions=(
            "You are a Geocodio assistant. Use Geocodio tools to help users "
            "with their requests. Ask clarifying questions when needed."
        ),
    )

    # Simple REPL with message history
    history = []
    print("Chat started! Type 'exit' or 'quit' to end.\n")
    print("Try asking the agent to help you with Geocodio.\n")

    while True:
        user_input = input("You: ").strip()
        if user_input.lower() in {"exit", "quit", "bye"}:
            print("\nGoodbye!")
            break
        if not user_input:
            continue

        print("\nAgent is thinking...\n", flush=True)

        async with agent.run_stream(user_input, message_history=history) as stream_result:
            collected_text = ""
            async for chunk in stream_result.stream_output():
                text_piece = None
                if isinstance(chunk, str):
                    text_piece = chunk
                elif hasattr(chunk, "delta") and isinstance(chunk.delta, str):
                    text_piece = chunk.delta
                elif hasattr(chunk, "text"):
                    text_piece = chunk.text
                if text_piece:
                    collected_text += text_piece
            result = stream_result

        print(f"Agent: {collected_text}\n")
        history = result.all_messages()

if __name__ == "__main__":
    asyncio.run(main())

Conclusion

You've built a Pydantic AI agent that can interact with Geocodio through Composio's Tool Router. With this setup, your agent can perform real Geocodio actions through natural language. You can extend this further by:
  • Adding other toolkits like Gmail, HubSpot, or Salesforce
  • Building a web-based chat interface around this agent
  • Using multiple MCP endpoints to enable cross-app workflows (for example, Gmail + Geocodio for workflow automation)
This architecture makes your AI agent "agent-native", able to securely use APIs in a unified, composable way without custom integrations.
TOOLS

Supported Tools

Every Geocodio action and event your agent gets out of the box.

Batch Reverse Geocode

Tool to batch reverse geocode up to 10,000 coordinates in one request.

Delete Geocodio List

Permanently delete a Geocodio spreadsheet list and its underlying data by ID.

Batch Forward Geocode

Tool to batch geocode up to 10,000 addresses to coordinates in one request.

Google Maps Compatible Geocode

Geocode an address or reverse geocode a coordinate using Geocodio's Google Maps-compatible response format.

Get Sample Coordinates for Batch Reverse Geocode

Utility tool that returns a predefined list of sample US coordinates (latitude,longitude strings).

Single Forward Geocode

Tool to forward geocode a single address.

Single Reverse Geocode

Tool to reverse geocode a single coordinate.

FRAMEWORKS

How to build Geocodio MCP Agent with another framework

Claude Code logo

Claude Code

Use Geocodio MCP with Claude Code

Claude Cowork logo

Claude Cowork

Use Geocodio MCP with Claude Cowork

OpenAI Agents SDK logo

OpenAI Agents SDK

Use Geocodio MCP with OpenAI Agents SDK

Claude Agent SDK logo

Claude Agent SDK

Use Geocodio MCP with Claude Agent SDK

Codex logo

Codex

Use Geocodio MCP with Codex

OpenClaw logo

OpenClaw

Use Geocodio MCP with OpenClaw

Hermes logo

Hermes

Use Geocodio MCP with Hermes

Atomic Agent logo

Atomic Agent

Use Geocodio MCP with Atomic Agent

Google ADK logo

Google ADK

Use Geocodio MCP with Google ADK

LangChain logo

LangChain

Use Geocodio MCP with LangChain

Vercel AI SDK logo

Vercel AI SDK

Use Geocodio MCP with Vercel AI SDK

Mastra AI logo

Mastra AI

Use Geocodio MCP with Mastra AI

LlamaIndex logo

LlamaIndex

Use Geocodio MCP with LlamaIndex

CrewAI logo

CrewAI

Use Geocodio MCP with CrewAI

AutoGen logo

AutoGen

Use Geocodio MCP with AutoGen

FAQ

Frequently asked questions

With a standalone Geocodio MCP server, the agents and LLMs can only access a fixed set of Geocodio tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Geocodio and many other apps based on the task at hand, all through a single MCP endpoint.

Yes, you can. Pydantic AI fully supports MCP integration. You get structured tool calling, message history handling, and model orchestration while Tool Router takes care of discovering and serving the right Geocodio tools.

Yes, absolutely. You can configure which Geocodio scopes and actions are allowed when connecting your account to Composio. You can also bring your own OAuth credentials or API configuration so you keep full control over what the agent can do.

All sensitive data such as tokens, keys, and configuration is fully encrypted at rest and in transit. Composio is SOC 2 Type 2 compliant and follows strict security practices so your Geocodio data and credentials are handled as safely as possible.

Start with Geocodio.It takes 30 seconds.

Managed auth, hosted MCP servers, and every Geocodio tool your agent needs.Free to start.

Start building