How to integrate Mapbox MCP with Pydantic AI

This guide walks you through connecting Mapbox to Pydantic AI using the Composio tool router. By the end, you'll have a working Mapbox agent that can batch geocode these 10 addresses, get directions from times square to jfk, reverse geocode this latitude and longitude through natural language commands. This guide will help you understand how to give your Pydantic AI agent real control over a Mapbox account through Composio's Mapbox MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved.

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Mapbox is a platform providing powerful maps, navigation, and location services for developers. Integrate Mapbox for dynamic, interactive mapping and geospatial insights in your apps.

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Introduction

This guide walks you through connecting Mapbox to Pydantic AI using the Composio tool router. By the end, you'll have a working Mapbox agent that can batch geocode these 10 addresses, get directions from times square to jfk, reverse geocode this latitude and longitude through natural language commands.

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

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

Also integrate Mapbox with

OpenAI Agents SDKClaude Agent SDKClaude CodeClaude CoworkCodexOpenClawHermesCLIGoogle ADKLangChainVercel AI SDKMastra AILlamaIndexCrewAI

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 Mapbox
  • 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 Mapbox 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 Mapbox MCP server, and what's possible with it?

The Mapbox MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Mapbox account. It provides structured and secure access to your mapping and location data, so your agent can perform actions like geocoding addresses, calculating travel routes, retrieving map embeds, and analyzing travel matrices on your behalf.

  • Batch and individual geocoding: Instantly convert addresses or place names to geographic coordinates—or reverse geocode coordinates to place names—using both batch and individual tools.
  • Route and directions retrieval: Let your agent fetch optimized driving, walking, or cycling directions between waypoints, including turn-by-turn instructions when needed.
  • Distance and travel time analysis: Have the agent generate travel time and distance matrices to compare routes or plan logistics across multiple locations.
  • Map style embed generation: Retrieve ready-to-use embeddable HTML for your custom Mapbox map styles, perfect for sharing or displaying maps in web apps.
  • Permanent geocoding and font data retrieval: Access enterprise-grade, cacheable geocoding data or fetch font glyph ranges for custom rendering and advanced mapping use cases.

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 Mapbox
  • 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 Mapbox
  • MCPServerStreamableHTTP connects to the Mapbox 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 Mapbox
    composio = Composio(api_key=api_key)
    session = composio.create(
        user_id=user_id,
        toolkits=["mapbox"],
    )
    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 Mapbox 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
mapbox_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY})
agent = Agent(
    "openai:gpt-5",
    toolsets=[mapbox_mcp],
    instructions=(
        "You are a Mapbox assistant. Use Mapbox tools to help users "
        "with their requests. Ask clarifying questions when needed."
    ),
)
What's happening:
  • The MCP client connects to the Mapbox endpoint
  • The agent uses GPT-5 to interpret user commands and perform Mapbox 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 Mapbox.\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
  • Mapbox 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 Mapbox 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 Mapbox
    composio = Composio(api_key=api_key)
    session = composio.create(
        user_id=user_id,
        toolkits=["mapbox"],
    )
    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
    mapbox_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY})
    agent = Agent(
        "openai:gpt-5",
        toolsets=[mapbox_mcp],
        instructions=(
            "You are a Mapbox assistant. Use Mapbox 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 Mapbox.\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 Mapbox through Composio's Tool Router. With this setup, your agent can perform real Mapbox 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 + Mapbox 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 Mapbox action and event your agent gets out of the box.

Batch Geocode V6

Tool to perform batch geocoding with up to 1000 queries in a single request.

Forward Geocode V5

Tool to search for places by name or address using Mapbox Geocoding v5 API (forward geocoding).

Batch Geocoding

Tool to perform batch forward or reverse geocoding for multiple locations.

Forward Geocoding

Tool to convert free-form or structured address into geographic coordinates and place features.

Permanent Forward Geocoding

Tool to perform permanent forward geocoding.

Permanent Reverse Geocoding

Tool to perform permanent reverse geocoding.

Reverse Geocoding

Tool to reverse geocode coordinates into place names.

Get Access Token

Tool to extract and validate Mapbox access token from connection metadata.

Get Isochrone

Tool to calculate areas reachable within a specified amount of time or distance from a location.

Get Map Matching

Tool to snap fuzzy GPS traces to roads on the road network.

Get Optimization V1

Tool to calculate optimal driving routes and trips that visit a set of waypoints.

Get Sprite

Tool to retrieve a sprite image or its JSON document from a Mapbox style.

Get Static Image

Request a static map image from a Mapbox Studio style.

Get Static Tiles

Tool to retrieve raster tiles from a Mapbox Studio style.

Get Token Information

Tool to retrieve information about a Mapbox access token and validate its status.

Get Vector Tiles

Tool to retrieve vector tiles from Mapbox-hosted vector tilesets.

Map Matching (POST)

Tool to snap GPS coordinates to the road network using POST method for longer coordinate lists.

Query Tile Features

Tool to retrieve data about specific features from vector tilesets based on a location.

Request Style Embed HTML

Retrieve embeddable HTML for a Mapbox style that can be embedded in an iframe.

Retrieve Directions

Tool to retrieve directions between waypoints.

Retrieve Font Glyph Ranges

Tool to retrieve font glyph ranges as PBF tiles.

Retrieve Marker

Tool to retrieve a standalone marker image without any background map.

Retrieve Matrix

Retrieve a travel time and distance matrix between multiple locations.

Retrieve Searchbox Place Details

Tool to retrieve full details for a specific place by its Mapbox ID.

Retrieve Style

Retrieves the complete Mapbox style specification as JSON, including all layers, sources, sprites, and configuration.

Retrieve Style WMTS

Retrieve a WMTS (Web Map Tile Service) capabilities document for a Mapbox style.

Retrieve Tileset Metadata

Tool to retrieve metadata for a Mapbox tileset.

Reverse Geocoding V6

Tool to convert geographic coordinates to place names using Geocoding v6 API.

Search Box Reverse Geocoding

Tool to convert coordinates to places using the Search Box API (reverse geocoding).

Search Box Forward

Tool to search for places by name or address using the Search Box API.

Search by Category

Tool to search for places by category (e.

Search Box Suggest

Tool to get autocomplete suggestions for a partial search query.

FRAMEWORKS

How to build Mapbox MCP Agent with another framework

OpenAI Agents SDK logo

OpenAI Agents SDK

Use Mapbox MCP with OpenAI Agents SDK

Claude Agent SDK logo

Claude Agent SDK

Use Mapbox MCP with Claude Agent SDK

Claude Code logo

Claude Code

Use Mapbox MCP with Claude Code

Claude Cowork logo

Claude Cowork

Use Mapbox MCP with Claude Cowork

Codex logo

Codex

Use Mapbox MCP with Codex

OpenClaw logo

OpenClaw

Use Mapbox MCP with OpenClaw

Hermes logo

Hermes

Use Mapbox MCP with Hermes

CLI logo

CLI

Use Mapbox MCP with CLI

Google ADK logo

Google ADK

Use Mapbox MCP with Google ADK

LangChain logo

LangChain

Use Mapbox MCP with LangChain

Vercel AI SDK logo

Vercel AI SDK

Use Mapbox MCP with Vercel AI SDK

Mastra AI logo

Mastra AI

Use Mapbox MCP with Mastra AI

LlamaIndex logo

LlamaIndex

Use Mapbox MCP with LlamaIndex

CrewAI logo

CrewAI

Use Mapbox MCP with CrewAI

FAQ

Frequently asked questions

With a standalone Mapbox MCP server, the agents and LLMs can only access a fixed set of Mapbox tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Mapbox 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 Mapbox tools.

Yes, absolutely. You can configure which Mapbox 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 Mapbox data and credentials are handled as safely as possible.

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