OpenStreetMap MCP Server for Pydantic AIGive Pydantic AI instant access to 33 tools to Close Changeset, Close Note, Comment Note, and more

Name: OpenStreetMap
Price: 29 USD
Availability: InStock
Rating: 2.2 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect OpenStreetMap through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

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The OpenStreetMap MCP Server for Pydantic AI is a standout in the Data Management category — giving your AI agent 33 tools to work with, ready to go from day one.

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python

import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to OpenStreetMap "
            "(33 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in OpenStreetMap?"
    )
    print(result.data)

asyncio.run(main())

Fully ManagedVinkius Servers

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Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About OpenStreetMap MCP Server

Connect your AI agent to the world's largest open geographic database. This server enables full interaction with the OpenStreetMap API (v0.6), allowing you to query, create, and update geospatial data through natural conversation.

Pydantic AI validates every OpenStreetMap tool response against typed schemas, catching data inconsistencies at build time. Connect 33 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

What you can do

Map Data Retrieval — Fetch raw OSM data (nodes, ways, relations) within specific bounding boxes for analysis or visualization.
Element Management — Create, read, update, or delete map elements including points of interest (nodes), roads (ways), and complex boundaries (relations).
Changeset Workflows — Open, update, and close changesets to group your edits and provide meaningful metadata to the OSM community.
Historical Analysis — Retrieve the full version history of any map element to track changes over time.
Advanced Querying — Filter changesets by user, time range, or geographic area to monitor local mapping activity.

The OpenStreetMap MCP Server exposes 33 tools through the Vinkius. Connect it to Pydantic AI in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 33 OpenStreetMap tools available for Pydantic AI

When Pydantic AI connects to OpenStreetMap through Vinkius, your AI agent gets direct access to every tool listed below — spanning geospatial, map-data, cartography, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

Close changeset on OpenStreetMap

Close a changeset

Close note on OpenStreetMap

Close a map note

comment

Comment note on OpenStreetMap

Add a comment to an existing map note

create

Create changeset on OpenStreetMap

Create a new changeset

create

Create element on OpenStreetMap

Create a new node, way, or relation

create

Create note on OpenStreetMap

Create a new map note

delete

Delete element on OpenStreetMap

Delete a node, way, or relation

delete

Delete message on OpenStreetMap

Delete a message

download

Download changeset on OpenStreetMap

Download a changeset in OsmChange format

get

Get auth user details on OpenStreetMap

Get details for the authenticated user

get

Get changeset on OpenStreetMap

Read a changeset by ID

get

Get element on OpenStreetMap

Read a node, way, or relation by ID

get

Get element history on OpenStreetMap

Get the history of a node, way, or relation

get

Get elements on OpenStreetMap

Multi-fetch nodes, ways, or relations

get

Get gpx data on OpenStreetMap

Download data for a GPS trace

get

Get gpx metadata on OpenStreetMap

Read metadata for a GPS trace

get

Get inbox on OpenStreetMap

Get the authenticated user's message inbox

get

Get map data on OpenStreetMap

Get map data (nodes, ways, relations) within a bounding box

get

Get message on OpenStreetMap

Read a specific message

get

Get note on OpenStreetMap

Read a map note by ID

get

Get outbox on OpenStreetMap

Get the authenticated user's message outbox

get

Get permissions on OpenStreetMap

Get OAuth permissions for the authenticated user

get

Get user on OpenStreetMap

Get details for a specific user

get

Get user preferences on OpenStreetMap

Get preferences for the authenticated user

list

List notes on OpenStreetMap

List map notes within a bounding box

list

List user gpx on OpenStreetMap

List GPS traces for the authenticated user

query

Query changesets on OpenStreetMap

Query changesets with filters

Search notes on OpenStreetMap

Search for map notes

send

Send message on OpenStreetMap

Send a private message to another user

update

Update changeset on OpenStreetMap

Update tags of an open changeset

update

Update element on OpenStreetMap

Update an existing node, way, or relation

update

Update message status on OpenStreetMap

Update the read status of a message

upload

Upload gpx on OpenStreetMap

Upload a GPS trace (GPX)

Connect OpenStreetMap to Pydantic AI via MCP

Follow these steps to wire OpenStreetMap into Pydantic AI. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 33 tools from OpenStreetMap with type-safe schemas

Why Use Pydantic AI with the OpenStreetMap MCP Server

Pydantic AI provides unique advantages when paired with OpenStreetMap through the Model Context Protocol.

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your OpenStreetMap integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your OpenStreetMap connection logic from agent behavior for testable, maintainable code

OpenStreetMap + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the OpenStreetMap MCP Server delivers measurable value.

Type-safe data pipelines: query OpenStreetMap with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple OpenStreetMap tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query OpenStreetMap and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock OpenStreetMap responses and write comprehensive agent tests

Example Prompts for OpenStreetMap in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with OpenStreetMap immediately.

"Get map data for the bounding box -0.15, 51.50, -0.10, 51.52 (Central London)."

"Show me the history of way ID 4225123."

"Find the 5 most recent closed changesets by user 'JohnDoe'."

Troubleshooting OpenStreetMap MCP Server with Pydantic AI

Common issues when connecting OpenStreetMap to Pydantic AI through Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

OpenStreetMap + Pydantic AI FAQ

Common questions about integrating OpenStreetMap MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your OpenStreetMap MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.