OpenStreetMap MCP Server for LangChainGive LangChain 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

LangChain is the leading Python framework for composable LLM applications. Connect OpenStreetMap through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

Ask AI about this MCP Server for LangChain

Open in ChatGPT Open in Claude Open in Perplexity

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

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

Claude

ChatGPT

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Gemini

Windsurf

VS Code

JetBrains

Vercel

+ other MCP clients

python

import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "openstreetmap": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using OpenStreetMap, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

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.

LangChain's ecosystem of 500+ components combines seamlessly with OpenStreetMap through native MCP adapters. Connect 33 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

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 LangChain 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 LangChain

When LangChain 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 LangChain via MCP

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

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save the code and run python agent.py

Explore tools

The agent discovers 33 tools from OpenStreetMap via MCP

Why Use LangChain with the OpenStreetMap MCP Server

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

The largest ecosystem of integrations, chains, and agents. combine OpenStreetMap MCP tools with 500+ LangChain components

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

Memory and conversation persistence let agents maintain context across OpenStreetMap queries for multi-turn workflows

OpenStreetMap + LangChain Use Cases

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

RAG with live data: combine OpenStreetMap tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query OpenStreetMap, synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain OpenStreetMap tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every OpenStreetMap tool call, measure latency, and optimize your agent's performance

Example Prompts for OpenStreetMap in LangChain

Ready-to-use prompts you can give your LangChain 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 LangChain

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

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

OpenStreetMap + LangChain FAQ

Common questions about integrating OpenStreetMap MCP Server with LangChain.

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.

Can I trace MCP tool calls in LangSmith?

Yes. All MCP tool invocations appear as traced steps in LangSmith, showing input parameters, response payloads, latency, and token usage.

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