Query TomTom for places, geocoding, and route planning through AI agents.
This MCP tool is described as querying TomTom Search and Routing APIs, but the provided information is sparse, and the stated “no credentials/no remote endpoints” is inconsistent with the claimed functionality. Open source and an MIT license are positive signals, but missing documentation, low adoption, and unknown maintenance warrant cautious use.
The materials claim no credentials are required, but TomTom Search/Routing API usage would typically involve API credentials or a server-side proxy; the current information is insufficient to confirm truly credential-free operation. No explicit credential harvesting or abuse is described, but this inconsistency should be verified.
The stated functionality inherently requires access to TomTom search and routing services, so network egress is likely; however, the materials also state “no remote endpoints,” which conflicts with the description. There is no concrete red flag indicating exfiltration to unknown third parties, but query content should be assumed to be sent to TomTom or a proxy endpoint.
The system flags it as executes-code, meaning the MCP at least runs local code/processes, which is a normal capability for this class of tools. The materials do not show requests for unusual system privileges or dangerous actions unrelated to mapping queries, so this alone does not justify a high-risk rating.
The provided materials do not specify which local files, caches, or logs it may read or write, leaving its data-access scope opaque. Based on its function, it likely handles location, address, and route-query data; there is no explicit evidence of overbroad access, but the missing README prevents confirmation of least-privilege boundaries.
The source is auditable on GitHub and MIT-licensed, which are clear risk-reducing factors; however, it comes from a third-party registry, has only 0 stars, unknown maintenance status, and missing documentation, so supply-chain maturity and verifiability are limited. There is no sign of closed-source behavior or obvious malice, so this is caution rather than high risk.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "mcp-tomtom" yet — see the docs or source repo.
Use TomTom to search for "Shanghai Disney Resort" and return the formatted address, coordinates, and 3 nearby related places.
A list with the place name, formatted address, coordinates, and nearby related places.
Geocode "Wangjing SOHO, Chaoyang District, Beijing" and output the coordinates with match confidence.
Coordinates, normalized address details, and match confidence information.
Use TomTom to plan a driving route from "Hangzhou East Railway Station" to "West Lake Scenic Area", including ETA, distance, and key waypoints.
A route summary with total distance, estimated travel time, and major waypoints.
Automate TomTom workflows via Rube MCP using current tool schemas first.
Plan complex trips with integrated flight, hotel, and map context.
Enable AI agents to geocode, search places, and plan routes.
Use natural language to search web, maps, flights, and hotels.
Query self-hosted OpenTripPlanner via MCP for accurate public transit routing.
Generate styled map images with customizable themes and route overlays.