developer-tools

TomTom

tomtom-international

by tomtom-international

Integrate TomTom's APIs for advanced location-aware apps with maps, routing, geocoding, and traffic—an alternative to Go

Integrates with TomTom's location services APIs to provide geocoding, reverse geocoding, POI search, routing with waypoints, reachable range calculations, traffic incident data, and static map generation for building location-aware applications.

github stars

41

0 commentsdiscussion

Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.

7+ location services in one serverIncludes static map generationTraffic incident data access

best for

  • / Building location-aware applications
  • / AI workflows requiring geospatial data
  • / Route planning and navigation features
  • / Traffic analysis applications

capabilities

  • / Geocode addresses to coordinates
  • / Perform reverse geocoding from coordinates
  • / Search for points of interest
  • / Calculate routes with waypoints
  • / Get reachable range calculations
  • / Access traffic incident data
  • / Generate static maps

what it does

Provides access to TomTom's location services including geocoding, routing, traffic data, and map generation. Integrates TomTom APIs into AI workflows and applications.

about

TomTom is an official MCP server published by tomtom-international that provides AI assistants with tools and capabilities via the Model Context Protocol. Integrate TomTom's APIs for advanced location-aware apps with maps, routing, geocoding, and traffic—an alternative to Go It is categorized under developer tools.

how to install

You can install TomTom in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.

license

Apache-2.0

TomTom is released under the Apache-2.0 license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.

readme

TomTom MCP Server

NPM Version License

The TomTom MCP Server simplifies geospatial development by providing seamless access to TomTom’s location services, including search, routing, traffic and static maps data. It enables easy integration of precise and accurate geolocation data into AI workflows and development environments.

Demo

TomTom MCP Demo

Table of Contents


Security Notice

Keeping local deployments of the TomTom MCP Server up-to-date is the responsibility of the MCP client/operator. TomTom publishes updates to address known vulnerabilities, but failing to apply updates, patches, or recommended security configurations to your local instance may expose it to known vulnerabilities.

Quick Start

Prerequisites

  • Node.js 22.x
  • TomTom API key

How to obtain a TomTom API key:

  1. Create a developer account on TomTom Developer Portal and Sign-in
  2. Go to API & SDK Keys in the left-hand menu.
  3. Click the red Create Key button.
  4. Select all available APIs to ensure full access, assign a name to your key, and click Create.

For more details, visit the TomTom API Key Management Documentation.

Installation

npm install @tomtom-org/tomtom-mcp@latest

# or run directly without installing
npx @tomtom-org/tomtom-mcp@latest

Configuration

Set your TomTom API key using one of the following methods:

# Option 1: Use a .env file (recommended)
echo "TOMTOM_API_KEY=your_api_key" > .env

# Option 2: Environment variable
export TOMTOM_API_KEY=your_api_key

# Option 3: Pass as CLI argument
TOMTOM_API_KEY=your_api_key npx @tomtom-org/tomtom-mcp@latest

Environment Variables

VariableDescriptionDefault
TOMTOM_API_KEYYour TomTom API key-
MAPSBackend to use: tomtom-maps (TomTom Maps) or tomtom-orbis-maps (TomTom Orbis Maps)tomtom-maps
PORTPort for the HTTP server3000
LOG_LEVELLogging level: debug, info, warn, or error. Use debug for local development to see all logsinfo

Usage

Stdio Mode (Default - for AI assistants like Claude):

# Start MCP server via stdio
npx @tomtom-org/tomtom-mcp@latest

HTTP Mode (for web applications and API integration):

npm run build             # Build first (required)
npm run start:http
# or run the built binary directly
node bin/tomtom-mcp-http.js

When running in HTTP mode, you need to include your API key in the tomtom-api-key header. You can also optionally set the maps backend per-request using the tomtom-maps-backend header:

tomtom-api-key: <API_KEY>
tomtom-maps-backend: tomtom-maps        # or tomtom-orbis-maps

Note: The tomtom-maps-backend header is only used when the server is started without the MAPS env var (dual-backend mode). If MAPS is set at startup, the header is ignored and the server uses the fixed backend.

For example, to make a request using curl:

curl --location 'http://localhost:3000/mcp' \
--header 'Accept: application/json,text/event-stream' \
--header 'tomtom-api-key: <API KEY>' \
--header 'Content-Type: application/json' \
--data '{
  "method": "tools/call",
  "params": {
    "name": "tomtom-geocode",
    "arguments": {
        "query": "Amsterdam Central Station"
    }
  },
  "jsonrpc": "2.0",
  "id": 24
}'

The Docker setup is also configured to use this HTTP mode with the same authentication method.

Docker Mode (recommended):

# Option 1: Using docker run directly
# Note: TomTom Maps is the default backend (same as npm package)
docker run -p 3000:3000 ghcr.io/tomtom-international/tomtom-mcp:latest

# To use TomTom Orbis Maps backend instead:
docker run -p 3000:3000 -e MAPS=tomtom-orbis-maps ghcr.io/tomtom-international/tomtom-mcp:latest

# Option 2: Using Docker Compose (recommended for development)
# Clone the repository first
git clone https://github.com/tomtom-international/tomtom-mcp.git
cd tomtom-mcp

# Start the service (uses TomTom Maps backend by default)
docker compose up

Both Docker options run the server in HTTP mode. Pass your API key via the tomtom-api-key header as shown in the HTTP Mode curl example above.


Integration Guides

TomTom MCP Server can be easily integrated into various AI development environments and tools.

These guides help you integrate the MCP server with your tools and environments:


Available Tools

ToolDescriptionDocumentation
tomtom-geocodeConvert addresses to coordinates with global coveragehttps://developer.tomtom.com/geocoding-api/documentation/geocode
tomtom-reverse-geocodeGet addresses from GPS coordinateshttps://developer.tomtom.com/reverse-geocoding-api/documentation/reverse-geocode
tomtom-fuzzy-searchIntelligent search with typo tolerancehttps://developer.tomtom.com/search-api/documentation/search-service/fuzzy-search
tomtom-poi-searchFind specific business categorieshttps://developer.tomtom.com/search-api/documentation/search-service/points-of-interest-search
tomtom-nearbyDiscover services within a radiushttps://developer.tomtom.com/search-api/documentation/search-service/nearby-search
tomtom-routingCalculate optimal routes between locationshttps://developer.tomtom.com/routing-api/documentation/tomtom-maps/calculate-route
tomtom-waypoint-routingMulti-stop route planning Routing APIhttps://developer.tomtom.com/routing-api/documentation/tomtom-maps/calculate-route
tomtom-reachable-rangeDetermine coverage areas by time/distancehttps://developer.tomtom.com/routing-api/documentation/tomtom-maps/calculate-reachable-range
tomtom-trafficReal-time incidents datahttps://developer.tomtom.com/traffic-api/documentation/traffic-incidents/traffic-incidents-service
tomtom-static-mapGenerate custom map imageshttps://developer.tomtom.com/map-display-api/documentation/raster/static-image
tomtom-dynamic-mapAdvanced map rendering with custom markers, routes, and traffic visualizationhttps://developer.tomtom.com/map-display-api/documentation/raster/map-tile

TomTom Orbis Maps (optional backend)

By default the MCP tools use TomTom Maps APIs listed above. We also support using TomTom Orbis Maps for the same tools. To enable TomTom Orbis Maps for all tools set the environment variable MAPS=tomtom-orbis-maps.

Note: The Orbis Maps backend includes all the tools from TomTom Maps plus additional Orbis-exclusive tools: tomtom-ev-routing, tomtom-search-along-route, tomtom-area-search, tomtom-ev-search, and tomtom-data-viz. The tomtom-static-map tool is only available with the default TomTom Maps backend.

ToolDescriptionTomTom Orbis Maps API (documentation)
tomtom-geocodeForward geocoding: address → coordinateshttps://developer.tomtom.com/geocoding-api/documentation/tomtom-orbis-maps/geocode
tomtom-reverse-geocodeReverse geocoding: coordinates → addresshttps://developer.tomtom.com/reverse-geocoding-api/documentation/tomtom-orbis-maps/reverse-geocode
tomtom-fuzzy-searchGeneral search with typo tolerance and suggestionshttps://developer.tomtom.com/search-api/documentation/tomtom-orbis-maps/search-service/fuzzy-search
tomtom-poi-searchPoints of Interest (category-based) searchhttps://developer.tomtom.com/search-api/documentation/tomtom-orbis-maps/search-service/points-of-interest-search
tomtom-nearbyFind POIs near a coordinate within a radiushttps://developer.tomtom.com/search-api/documentation/tomtom-orbis-maps/search-service/nearby-search
tomtom-routingCalculate optimal route between two pointshttps://developer.tomtom.com/routing-api/documentation/tomtom-orbis-maps/calculate-route
tomtom-waypoint-routingMulti-stop / waypoint route planninghttps://developer.tomtom.com/routing-api/documentation/tomtom-orbis-maps/calculate-route
tomtom-reachable-rangeComp

FAQ

What is the TomTom MCP server?
TomTom is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
How do MCP servers relate to agent skills?
Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
How are reviews shown for TomTom?
This profile displays 58 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.5 out of 5—verify behavior in your own environment before production use.

Use Cases

Extended AI Capabilities

Add new capabilities to Claude beyond text generation

Example

Access external data sources, execute code, interact with tools and services

Transform Claude from chatbot to action-taking agent

Context Enhancement

Provide Claude with access to relevant context and data

Example

Load project documentation, access knowledge bases, query databases

Get more accurate, context-aware responses

Workflow Automation

Automate multi-step workflows combining AI and external tools

Example

Research → Summarize → Create document → Send notification

Complete complex tasks end-to-end without manual steps

Implementation Guide

Prerequisites

  • Claude Desktop 0.7.0+ or Cursor IDE with MCP support
  • Basic understanding of MCP architecture and capabilities
  • Access credentials for integrated services (if required)
  • Willingness to experiment and iterate on configuration

Time Estimate

15-60 minutes depending on server complexity

Installation Steps

  1. 1.Install MCP server: npm install -g [package-name] or via GitHub
  2. 2.Add server configuration to ~/.claude/mcp.json
  3. 3.Provide required credentials and configuration
  4. 4.Restart Claude Desktop to load new server
  5. 5.Test basic functionality with simple prompts
  6. 6.Explore capabilities and experiment with use cases
  7. 7.Document successful patterns for reuse

Troubleshooting

  • MCP server not loading: Check config syntax, verify installation
  • Connection errors: Check network, firewall, credentials
  • Feature not working: Read server docs, check required parameters
  • Performance issues: Monitor resource usage, check for network latency
  • Conflicts with other servers: Check port assignments, namespace collisions

Best Practices

✓ Do

  • +Read server documentation thoroughly before setup
  • +Start with simple use cases to validate functionality
  • +Test in non-production environment first
  • +Monitor resource usage and performance
  • +Keep servers updated for bug fixes and new features
  • +Document configuration for team members
  • +Use environment variables for sensitive configuration

✗ Don't

  • Don't grant overly permissive access to MCP servers
  • Don't skip reading security considerations in docs
  • Don't expose sensitive data without proper controls
  • Don't run untrusted MCP servers without code review
  • Don't ignore error messages—investigate root cause

💡 Pro Tips

  • Combine multiple MCP servers for powerful workflows
  • Create custom MCP servers for your specific needs
  • Share successful configurations with team
  • Use MCP inspector for debugging
  • Join MCP community for tips and troubleshooting

Technical Details

Architecture

Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.

Protocols

  • Model Context Protocol (MCP)
  • JSON-RPC 2.0
  • stdio or HTTP transport

Compatibility

  • Claude Desktop
  • Cursor IDE
  • Custom MCP clients

When to Use This

✓ Use When

Use when you need Claude to access external data, execute actions, or integrate with tools. Best for extending AI capabilities beyond conversation.

✗ Avoid When

Avoid when native integrations exist (use official APIs directly), for real-time critical systems, or when security/compliance requires zero external dependencies.

Integration

  • Tool composition: Chain multiple MCP tools in workflows
  • Context augmentation: Provide AI with relevant external data
  • Action delegation: Let AI execute tasks on external systems
  • Bidirectional sync: Keep AI context and external systems in sync

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.

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Ratings

4.558 reviews
  • Valentina Martinez· Dec 28, 2024

    According to our notes, TomTom benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.

  • Pratham Ware· Dec 24, 2024

    I recommend TomTom for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.

  • Michael Jackson· Dec 24, 2024

    Useful MCP listing: TomTom is the kind of server we cite when onboarding engineers to host + tool permissions.

  • Evelyn Sethi· Dec 24, 2024

    TomTom is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.

  • Meera Park· Dec 16, 2024

    Strong directory entry: TomTom surfaces stars and publisher context so we could sanity-check maintenance before adopting.

  • Naina Brown· Dec 12, 2024

    TomTom is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.

  • Anika Liu· Dec 8, 2024

    I recommend TomTom for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.

  • Anaya Haddad· Nov 27, 2024

    TomTom is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.

  • Valentina Singh· Nov 19, 2024

    TomTom has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.

  • Sakshi Patil· Nov 15, 2024

    TomTom is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.

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