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Mapbox MCP. Calculate real-world travel metrics for any location.

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Mapbox MCP on Cursor AI Code Editor MCP Client Mapbox MCP on Claude Desktop App MCP Integration Mapbox MCP on OpenAI Agents SDK MCP Compatible Mapbox MCP on Visual Studio Code MCP Extension Client Mapbox MCP on GitHub Copilot AI Agent MCP Integration Mapbox MCP on Google Gemini AI MCP Integration Mapbox MCP on Lovable AI Development MCP Client Mapbox MCP on Mistral AI Agents MCP Compatible Mapbox MCP on Amazon AWS Bedrock MCP Support

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Mapbox provides world-class location services for your AI client. Use it to convert addresses into precise coordinates, calculate step-by-step driving or walking routes, determine travel times between multiple locations, and map service areas using isochrones.

It’s the core toolset for any application needing reliable geospatial data.

What your AI agents can do

Geocode

Converts a place name or full address into precise coordinates and detailed address components.

Get directions

Calculates step-by-step routes for driving, walking, or cycling between two points, including total duration and distance.

Get distance matrix

Returns a matrix showing the travel time (seconds) and distance (meters) between all pairs of specified locations.

+ 5 more capabilities included
Convert addresses to coordinates

You pass a place name or address, and the server returns precise latitude/longitude pairs along with structured components like city and postal code.

Generate turn-by-turn routes

The agent calculates step-by-step instructions for driving, walking, or cycling between specified coordinates, providing total time and distance metrics.

Calculate multi-point travel metrics

You provide multiple origin/destination points, and the server returns a matrix of distances (meters) and estimated travel times (seconds) for every possible pairing.

Define reachable service areas

The agent draws polygons showing the entire area you can reach from a central point within a set time or distance, using the get_isochrone tool.

Find nearby businesses and locations

You provide coordinates and a query (e.g., 'restaurant'), and the server returns a list of matching POIs with their addresses and distances.

Supported MCP Clients

Claude Claude
ChatGPT ChatGPT
Cursor Cursor
Gemini Gemini
Windsurf Windsurf
VS Code VS Code
JetBrains JetBrains
Vercel Vercel
+ other MCP clients
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AI Agent

Mapbox MCP Server: 8 Tools for Geospatial Logic

Access a full suite of location tools that convert addresses to coordinates, calculate complex routes, define service boundaries, and enrich raw data points.

action019d8454

geocode

Converts a place name or full address into precise coordinates and detailed address components.

get019d8454

get directions

Calculates step-by-step routes for driving, walking, or cycling between two points, including total duration and distance.

get019d8454

get distance matrix

Returns a matrix showing the travel time (seconds) and distance (meters) between all pairs of specified locations.

get019d8454

get elevation

Retrieves the elevation data for any given set of coordinates, useful for terrain analysis.

get019d8454

get isochrone

Draws polygon contours that show every area reachable within a specific time or distance from an origin point.

get019d8454

get static map

Generates a direct image URL for a specified location, allowing you to embed the map into markdown or HTML reports.

reverse019d8454

reverse geocode

Takes raw coordinates and translates them back into the nearest readable street address and location details.

search019d8454

search nearby

Finds specific points of interest (e.g., 'cafe' or 'hospital') near given coordinates, returning their names and distances.

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  • Use this MCP plus 4,700+ others, all in one place
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  • Works with Claude, ChatGPT, Cursor, and more
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What you can do with this MCP connector

This Mapbox server gives your agent world-class location services. You run complex spatial calculations—from mapping out optimal delivery routes to figuring out service areas—all through natural conversation. It's the core toolset you need when your app relies on solid, reliable geospatial data.

Geocoding and Addressing
When you pass a place name or full address, the geocode tool spits back precise latitude/longitude pairs along with detailed components like the city, postal code, and structured address parts. If you grab raw coordinates, the reverse_geocode tool translates them right back into the nearest readable street address and location details.

The system also lets you run search_nearby to pinpoint specific points of interest—say, a 'cafe' or a 'hospital'—near given coordinates; it returns their names and distances.

Routing and Movement
Calculating paths is what this server does best. You can use get_directions to generate step-by-turn instructions for driving, walking, or cycling between two points; the result includes the total distance traveled and the estimated duration. For bigger logistics jobs, you'll want to hit up get_distance_matrix. This tool takes multiple origin and destination points and spits out a matrix showing the travel time (in seconds) and distance (in meters) for every possible pairing, which is crucial for fleet management.

Determining how high up something is? Run get_elevation on any set of coordinates to get elevation data, helpful if you're analyzing terrain changes.

Service Areas and Mapping Output
Need to define a service boundary? Use get_isochrone. This tool draws polygon contours that map out every single area your client can reach from an origin point within a specific time or distance. You can also generate direct visual assets with get_static_map, which gives you an image URL for any location, letting you embed the map directly into markdown or HTML reports.

How It Works For Your Agent
It's straightforward. Your AI client uses this server by calling specific functions like geocode or get_directions. You don't write code; you just tell your agent what you want—like, 'What's the fastest route from 123 Main Street to the airport?' The agent handles passing that data through the correct tool.

It returns structured data you can immediately use in your application logic.

For example, if you need to know all potential delivery spots within a five-mile radius of a warehouse, you'll combine get_isochrone with search_nearby. If your client needs to validate an old GPS ping and figure out what address it corresponds to, that's the reverse_geocode tool for. The system handles all these complex spatial relationships—from pinpointing addresses to calculating travel time matrices—so you don't have to manage multiple mapping APIs or deal with messy data structures yourself.

How Mapbox MCP Works

  1. 1 First, you subscribe to the Mapbox MCP Server and input your required Access Token.
  2. 2 Next, you invoke a specific tool (e.g., get_directions) through your AI client's chat interface or code execution environment.
  3. 3 Finally, the server processes the request against its map data and returns structured JSON containing coordinates, distances, or images.

The bottom line is: it turns complex geospatial calculations into simple API calls that run right inside your conversational agent.

Who Is Mapbox MCP For?

Civil engineers and urban planners who need to prove feasibility on paper. Logistics managers whose routes cost money per mile. Travel developers building apps that require accurate routing, not just simple map embedding.

Logistics Manager

Uses get_distance_matrix and get_isochrone to optimize delivery schedules across dozens of stops, ensuring the fastest possible total run time.

Real Estate Developer

Runs search_nearby around a proposed site to verify proximity to critical infrastructure (schools, hospitals) and uses get_elevation for site feasibility reports.

Travel App Backend Engineer

Integrates get_directions into user flow, handling different modes of transport—driving, cycling, or walking—with step-by-step instructions.

What Changes When You Connect

  • Accurate Routing: Stop guessing on routes. Use get_directions to get step-by-step instructions and precise driving, walking, or cycling times between two points.
  • Logistics Optimization: Don't calculate routes one pair at a time. get_distance_matrix handles multiple origins and destinations in one call, giving you true network efficiency data.
  • Service Area Planning: Need to know what's covered? Running get_isochrone defines the exact polygon of areas reachable within 15 minutes, perfect for defining service zones.
  • Data Enrichment: If you only have a raw coordinate pair, use reverse_geocode. It converts those coordinates back into a full street address and city name for reports.
  • Targeted Discovery: Instead of searching manually, use search_nearby to find every gas station or restaurant within a mile radius of your primary location marker.

Real-World Use Cases

01

Optimizing last-mile delivery routes

A logistics planner needs to service 45 homes in an industrial park. Instead of running 45 separate route calls, they feed all the coordinates into get_distance_matrix. The agent returns a matrix that shows which sequence minimizes total travel time and distance, allowing immediate route optimization.

02

Assessing new commercial site viability

A developer is looking at three potential lots. They use geocode to get the coordinates for each lot. Then, they run search_nearby on those points with a query like 'school' and 'grocery store'. This shows them instantly if the location meets minimum accessibility requirements.

03

Building a hiking or cycling trail map

A recreational group wants to know the total area they can cover. They use get_isochrone based on walking time and then combine that with get_elevation checks at key points to ensure the terrain is suitable for the intended activity.

04

Cleaning up raw dataset addresses

A database dump contains thousands of latitude/longitude pairs. The user runs reverse_geocode on all records in a batch process. This automatically converts every coordinate into a verified, readable street address for clean data export.

The Tradeoffs

Calculating distance using only geocode.

The user finds the coordinates of two points (A and B) using geocode and assumes the straight-line Euclidean distance is the drive time. They get a number, but it's useless for planning.

You must use get_distance_matrix or get_directions. These tools factor in actual road geometry, one-way streets, and traffic flow, giving you realistic travel time estimates.

Trying to find a POI without knowing coordinates.

The user knows they need 'coffee shops near Main Street' but doesn't have precise starting coordinates. They try to force the API with just text, and it fails.

First, run geocode on 'Main Street, City Name' to get a central coordinate pair. Then, pass those coordinates into search_nearby and specify the query: 'coffee shop'.

Using directions when you only need a map picture.

The user needs to include a route on a final presentation slide but calls get_directions. The response is massive JSON with step-by-step instructions, which isn't what the report needs.

If all you need is a visual asset, use get_static_map. It takes your coordinates and dimensions and returns a simple URL you can drop right into markdown.

When It Fits, When It Doesn't

Use this Mapbox server if the core problem involves geometry, routes, or location-based metrics. Specifically, if you need to know: 1) The distance/time between Point A and Point B, factoring in roads (get_directions); 2) The most efficient path among many points (get_distance_matrix); or 3) What area is reachable within a time limit (get_isochrone).

Don't use this server if you simply need to know the name of a city based on an address (basic geocoding tools often suffice for that). If your problem is purely about comparing two unstructured text fields, don't use it. You are paying for spatial logic; only run these tools when space and distance matter.

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Mapbox. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Works with Claude, ChatGPT, Cursor, and more

The Model Context Protocol standardizes how applications expose capabilities to LLMs. Instead of operating in isolation, your AI gains direct access to external platforms, live data, and real-world actions through secure, standardized connections.

This server provides 8 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.

Available Capabilities

geocode get_directions get_distance_matrix get_elevation get_isochrone get_static_map reverse_geocode search_nearby

Manually calculating routes and service areas eats time.

Right now, if you need to define a community's catchment zone—say, where local buses can reach within 20 minutes—you end up opening multiple map services. You manually plot the origin, estimate the radius, and then cross-reference that against zoning maps. It’s tedious, prone to human error, and requires stitching together data from three different APIs just to draw a basic polygon.

With Mapbox, you run `get_isochrone` once. The server handles all the complex geometry calculation for you, returning a clean polygon contour that defines exactly where service is available within the specified time limit. You get the full map boundary in seconds.

Mapbox MCP Server: Get accurate coordinates and directions.

Before Mapbox, getting a reliable starting point meant running `geocode` first, then manually taking those coordinates to another service just to check for nearby amenities. This required at least two API calls and two different data formats, making the flow brittle.

Now you can sequence the calls: Use `get_directions` for the main route, but if the user needs a quick stop along the way, the agent automatically runs `search_nearby` using the coordinates from the primary route. It's one single workflow.

Common Questions About Mapbox MCP

How do I get a Mapbox Access Token? +

Sign up for a free account at account.mapbox.com, 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.

Can I calculate distances between multiple locations? +

Yes! Use get_distance_matrix with multiple coordinate pairs. Returns a matrix of durations (seconds) and distances (meters) between all source-destination pairs. Supports driving, walking and cycling profiles.

How does the get_directions tool handle multiple start and end coordinates? +

It accepts semicolon-separated "longitude,latitude" pairs. This format lets you process entire legs of a trip—like multiple stops—in a single call across various routing tools.

What should I do if I hit rate limits when using the geocode tool? +

The server will return an explicit error code indicating throttling. Your agent needs to catch this specific response and implement an exponential backoff delay before retrying the call.

How can I use the search_nearby tool to filter for a specific type of place? +

You pass a query string (like "gas station" or "hotel") into the search parameter. The tool filters results based on that category, giving you names and distances.

After running get_static_map, what format is the resulting output? +

The tool returns a direct, ready-to-use image URL. You can embed this link immediately into markdown or HTML for quick map visualization in your client.

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Claude Claude
ChatGPT ChatGPT
Cursor Cursor
Gemini Gemini
Windsurf Windsurf
VS Code VS Code
JetBrains JetBrains
Vercel Vercel
+ other MCP clients

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