How do I get a Mapbox Access Token?

Sign up for a free account at [**account.mapbox.com**](https://account.mapbox.com/access-tokens/), go to **Access Tokens** and create a new token. Copy the token — it starts with `pk.`.

Can I get driving directions?

Yes! Use get_directions with coordinates and the 'driving' profile. Returns route distance, duration, step-by-step instructions and geometry. Also supports 'walking' and 'cycling' profiles.

What are isochrones used for?

Isochrones show the area reachable within a specific time or distance from a location. Useful for delivery zones, commute analysis, real estate proximity and accessibility planning.

Mapbox MCP Server for LangChain 8 tools — connect in under 2 minutes

Name: Mapbox
Availability: InStock
Author: Vinkius

python.langchain.com/docs/integrations/tools/mcp

Built by Vinkius GDPR 8 Tools Framework

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

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

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({
        "mapbox": {
            "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 Mapbox, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

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* 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 Mapbox MCP Server

Connect to Mapbox and access world-class location services through natural conversation.

LangChain's ecosystem of 500+ components combines seamlessly with Mapbox through native MCP adapters. Connect 8 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

Geocoding — Convert addresses, place names and POIs to coordinates and structured addresses
Reverse Geocoding — Convert GPS coordinates to human-readable addresses
Directions — Get driving, walking and cycling routes with step-by-step instructions
Distance Matrix — Calculate travel times and distances between multiple locations
Isochrones — Show areas reachable within a specific time or distance
Elevation — Get elevation data for any coordinates
Static Maps — Generate map image URLs for any location
Nearby Search — Find points of interest near coordinates

The Mapbox MCP Server exposes 8 tools through the Vinkius. Connect it to LangChain in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Mapbox to LangChain via MCP

Follow these steps to integrate the Mapbox MCP Server with LangChain.

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 8 tools from Mapbox via MCP

Why Use LangChain with the Mapbox MCP Server

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

The largest ecosystem of integrations, chains, and agents. combine Mapbox 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 Mapbox queries for multi-turn workflows

Mapbox + LangChain Use Cases

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

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

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

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

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

Mapbox MCP Tools for LangChain (8)

These 8 tools become available when you connect Mapbox to LangChain via MCP:

geocode

Returns the place name, coordinates, address components (street, city, state, postal code, country), place type and bounding box. Use this to find coordinates for use with directions, distance matrix and other tools. Convert a place name to coordinates

get_directions

Returns route distance, duration, geometry, step-by-step instructions and maneuver data. Supports driving (mapbox/driving), walking (mapbox/walking) and cycling (mapbox/cycling) profiles. Coordinates are semicolon-separated "longitude,latitude" pairs (e.g. "-77.0365,38.8977;-74.006,40.7128" for DC to NYC). Get driving, walking or cycling directions

get_distance_matrix

Useful for logistics, delivery routing and travel planning. Returns a matrix of durations (seconds) and distances (meters) between all source-destination pairs. Coordinates are semicolon-separated "lon,lat" pairs. Supports driving, walking and cycling profiles. Get travel times between multiple origins and destinations

get_elevation

Useful for hiking, aviation and geographic research. Coordinates are comma-separated "lon,lat" pairs. Get elevation for coordinates

get_isochrone

Returns polygon contours showing the reachable area. Useful for determining service areas, commute ranges and accessibility. Coordinates are "lon,lat". Get reachable area within a time or distance

get_static_map

Returns a direct image URL that can be used in markdown, HTML or downloaded. Supports customizable zoom level and image dimensions. Generate a static map image for a location

reverse_geocode

Returns the nearest address, city, state, country and other location details. Convert coordinates to an address

search_nearby

Returns nearby places with names, addresses, categories, distances and coordinates. Use query to search for specific types of places (e.g. "restaurant", "gas station", "hotel"). Search for places near coordinates

Example Prompts for Mapbox in LangChain

Ready-to-use prompts you can give your LangChain agent to start working with Mapbox immediately.

"Geocode '1600 Pennsylvania Ave, Washington DC'."

"Get driving directions from San Francisco to Los Angeles."

"Show me the area reachable within 15 minutes driving from Times Square, NYC."

Troubleshooting Mapbox MCP Server with LangChain

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

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Mapbox + LangChain FAQ

Common questions about integrating Mapbox 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.