Compatible with every major AI agent and IDE
Autocomplete place search on TomTom
Provide a partial string and optional bias coordinates. Provides predictive location suggestions based on partial input
Calculate reachable range on TomTom
Provide center coordinates and a time budget in seconds. Calculates an area reachable within a specific time or distance budget
Calculate route on TomTom
Returns the route polyline and a summary. Calculates a route and travel time between two points
Fuzzy geocoding on TomTom
Converts a physical address string into geographic coordinates using fuzzy matching
Get poi details on TomTom
Retrieves rich metadata for a specific point of interest ID
Get traffic flow segment on TomTom
Provide center coordinates. Retrieves the traffic flow speed and quality for a specific road segment
Get traffic incidents on TomTom
Provide min/max lat/lon coordinates. Retrieves real-time traffic incident details within a bounding box
Reverse geocoding on TomTom
Converts geographic coordinates into a physical address
Search poi by category on TomTom
Provide a category name and a center coordinate. Searches for points of interest (POIs) near a location by category (e.g., gas stations, hospitals)
Structured geocoding on TomTom
Provide parameters like countryCode and postalCode. Performs geocoding using explicit address components (e.g., street, city, zip)
How Vinkius protects your data
Can I audit what my AI agents are doing with this integration?
Yes, Vinkius provides an immutable, HMAC-chained audit log. Every tool execution, payload, and response is tracked in real-time on your dashboard, giving you complete visibility into your agent's actions.
What if the AI ends up reading customer data or confidential information?
We have a built-in digital "bodyguard" called DLP (Data Loss Prevention). If a tool fetches data and the response contains social security numbers, credit cards, or personal customer info, Vinkius magically blocks and erases that information before it is delivered to the AI. The AI works only with what is strictly necessary, and your sensitive data never leaks.
Where and how do I extract my TomTom API Key?
Log into your account at the developer.tomtom.com portal. Go to the dashboard console and select Keys (or My Dashboard). Either use your default developer API Key or click Add new Key for this specific agent usage. Copy the entire cryptographic string and insert it below securely.
Does the AI train on my tools or API data?
No. Vinkius enforces a strict Zero-Retention policy. Your data simply passes through our secure servers to complete the requested action and is instantly forgotten. Nothing you do here is ever stored, logged, or used to train any artificial intelligence.
How Chatbots Interact with TomTom
Build automated workflows with Cursor and Claude Code by connecting to the TomTom MCP server.
AI-Driven mapping Workflows
Provide Claude Code and Cursor with read and write access to mapping. The TomTom toolkit handles all necessary routing for industry titans integrations.
Automating routing with AI
Add routing functionality to your custom chatbots. The TomTom MCP handles the payload formatting required for ChatGPT and Claude to interface with industry titans endpoints.
TomTom. Runs on everything.
From IDE to framework. Every connection governed by Vinkius.
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
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