mcpField
T
Tomtom

Tomtom

Remote
pipeworx.ioMaps & Travel0Updated 5w ago

About Tomtom

Tomtom is an MCP server wrapping TomTom Search & Routing APIs for applications that need location search and route information. It supports geocoding, points-of-interest search, reverse geocoding, and traffic-aware routes across several travel modes.

Key features

  1. 01Convert addresses to coordinates
  2. 02Search points of interest
  3. 03Convert coordinates to addresses
  4. 04Calculate traffic-aware routes
  5. 05Support car, truck, pedestrian, and bicycle modes

Use cases

  1. 01Find nearby businesses or landmarks
  2. 02Get an address from coordinates
  3. 03Plan a route using live traffic

MCP support

Exposes `geocode`, `search_poi`, `reverse_geocode`, and `route` as MCP tools. It can run locally over stdio or connect through the Pipeworx gateway.

Configuration

Remote servers need no local install. Pick your client, then copy the config or install in one click.

Endpointhttps://gateway.pipeworx.io/tomtom/mcp
Copy install command
Claude CodeTerminal
Cursor.cursor/mcp.json
VS Code.vscode/mcp.json
Claude Desktopclaude_desktop_config.json
Windsurf~/.codeium/windsurf/mcp_config.json

Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.

Tools

Details

From the project README

mcp-tomtom

TomTom MCP — wraps the TomTom Search & Routing APIs (api.tomtom.com)

Part of Pipeworx — an MCP gateway connecting AI agents to 1684+ live data sources.

Tools

ToolDescription
geocodeGeocoding: convert an address, place name, or free-text location query into geographic coordinates (latitude/longitude). Returns formatted address, country, lat, lon, type, and match score. Example: geocode({ query: "350 5th Ave, New York" })
search_poiSearch for points of interest (POIs) — businesses, landmarks, restaurants, gas stations, etc. — by name or category, optionally near a lat/lon center within a radius. Returns name, category, address, coordinates, phone, url, and distance. Example: search_poi({ query: "coffee", lat: 40.748, lon: -73.985, radius: 1000 })
reverse_geocodeReverse geocoding: convert latitude/longitude coordinates into a human-readable street address. Returns the freeform address, country, municipality, street name, postal code, and position. Example: reverse_geocode({ lat: 40.748, lon: -73.985 })
routeTraffic-aware routing / directions: calculate the best route between two points and return distance plus travel time computed with live traffic. Reports traffic delay so you get realistic ETAs, not free-flow estimates. Supports car, truck, pedestrian, and bicycle travel modes. Example: route({ from_lat: 40.748, from_lon: -73.985, to_lat: 40.689, to_lon: -74.044 })

Quick Start

Add to your MCP client (Claude Desktop, Cursor, Windsurf, etc.):

{
  "mcpServers": {
    "tomtom": {
      "url": "https://gateway.pipeworx.io/tomtom/mcp"
    }
  }
}
What this endpoint actually serves

tools/list at https://gateway.pipeworx.io/tomtom/mcp returns the tools in the table above plus the shared Pipeworx meta-tools — ask_pipeworx, discover_tools, search_within, remember/recall and the rest of the gateway-wide set. So the tool count you see is larger than this table: a single-pack endpoint currently lists roughly 30 shared tools alongside the pack's own. The connection's initialize response states its exact scope, and is the authoritative answer for a given day.

This is deliberate, not multiplexing by accident. The meta-tools are what let a scoped connection answer a question this pack does not cover — via ask_pipeworx, which routes across the whole catalog — without you adding a second MCP server. There is currently no way to mount a pack endpoint without them; if the extra schemas cost you more context than the routing is worth, connect to the full gateway once rather than to several pack endpoints.

Or connect to the full Pipeworx gateway to get every pack's tools listed directly, instead of just this one's:

{
  "mcpServers": {
    "pipeworx": {
      "url": "https://gateway.pipeworx.io/mcp"
    }
  }
}

Both URLs reach the same gateway and the same 1684+ data sources. The only difference is which pack's tools are listed directly; ask_pipeworx reaches all of them from either one.

No MCP client? Call it over HTTP

curl -X POST https://gateway.pipeworx.io/v1/tools/tomtom_geocode \
  -H 'Content-Type: application/json' \
  -d '{"query":"350 5th Ave, New York"}'

No account needed for the first calls. Inspect any tool: GET https://gateway.pipeworx.io/v1/tools/tomtom_geocode. Find one: POST https://gateway.pipeworx.io/v1/tools/search_packs with {"query":"..."}.

Standalone (no gateway account)

This package also runs as a local stdio MCP server — no Pipeworx account, no gateway round-trip:

{
  "mcpServers": {
    "tomtom": {
      "command": "npx",
      "args": ["-y", "@pipeworx/mcp-tomtom"]
    }
  }
}

Or run it directly to confirm it starts:

npx -y @pipeworx/mcp-tomtom

It speaks MCP over stdin/stdout and answers initialize/tools/list/tools/call for only this pack's tools — none of the shared meta-tools the gateway connection above adds. Same source, same tools, no ask_pipeworx routing.

Using with ask_pipeworx

Instead of calling tools directly, you can ask questions in plain English — this works on the pack endpoint above as well as on the full gateway:

ask_pipeworx({ question: "your question about Tomtom data" })

The gateway picks the right tool and fills the arguments automatically.

More

License

MIT

Comments

Markdown supported

New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.