TomTom Parking Availability MCP. Auditing real-time urban parking data via chat.
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TomTom Parking Availability MCP Server lets your AI agent search, audit, and track real-time parking spots across any city. It provides location metadata, facility addresses, and current availability status for deep urban analysis or logistics planning.
Stop guessing where to park; start getting precise data on the spot.
What your AI agents can do
Check api status
Confirms if the entire TomTom Parking service is currently running and accessible.
Get parking details
Retrieves full metadata and current availability status for a specific, known parking ID number.
Search parking spots
Searches for multiple potential parking facilities near a given set of coordinates or location string.
The agent searches for available parking spots near a specific set of coordinates or an address.
You query detailed metadata using a known parking ID to get full details, including current occupancy levels.
The agent audits the precise geographic coordinates for any named or referenced parking facility.
You confirm that the TomTom Parking service is currently operational and available for use.
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TomTom Parking Availability MCP Server: 3 Tools for Mobility Data
These three tools allow your agent to manage urban mobility data by checking service status, searching potential spots, and retrieving detailed facility metadata.
019d8490check api status
Confirms if the entire TomTom Parking service is currently running and accessible.
019d8490get parking details
Retrieves full metadata and current availability status for a specific, known parking ID number.
019d8490search parking spots
Searches for multiple potential parking facilities near a given set of coordinates or location string.
Choose How to Get Started
Build a custom MCP for your own tools, or connect a ready-made integration from our catalog.
Build Your Own
Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.
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Make Your AI Do More
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What you can do with this MCP connector
Your agent connects directly to TomTom's real-time parking database for auditing spots across any city. You stop guessing where to park; you start getting precise data. This server lets your AI client search, audit, and track live parking availability using three core functions.
When you need to know if the system is even online, use check_api_status. It confirms whether the entire TomTom Parking service is active and accessible right now.
For finding multiple potential spots, you'll use search_parking_spots. You give it a set of coordinates or a location string, and your agent returns details for several nearby parking facilities. This search gives you basic info like the name and address of each spot, letting you map out an entire area at once.
If you already know a specific parking facility's ID number, get_parking_details pulls up deep metadata about that exact location. It doesn't just give you general info; it provides the current availability status and full occupancy levels for the spot.
When accuracy matters—like for logistics planning or urban analysis—you can combine search functions with coordinate verification. search_parking_spots handles this, confirming precise geographic coordinates for any named or referenced parking facility near your desired location. This lets you audit locations down to the exact latitude and longitude.
In short: You use check_api_status to verify service uptime; you use search_parking_spots to find multiple spots by area or coordinates; and you use get_parking_details to drill into a single spot's real-time occupancy data. It handles the whole mobility audit, so you don’t have to open map apps or copy/paste addresses yourself.
How TomTom Parking Availability MCP Works
- 1 1. Subscribe to the server and input your TomTom API Key.
- 2 2. Connect this server into your AI client (e.g., Claude, Cursor).
- 3 3. Ask your agent a question like: 'Find available parking spots near 40.7128 N, 74.0060 W.' The agent executes the necessary tool calls and returns structured data.
The bottom line is you get real-time location intelligence without touching a map or navigation app.
Who Is TomTom Parking Availability MCP For?
Logistics Planners, Fleet Managers, and Urban Researchers use this. They're the people who spend hours manually cross-referencing Google Maps with operational databases just to verify if a warehouse location is actually accessible after hours. This tool gives them that data instantly.
Runs rapid audits of potential delivery zones, using search_parking_spots to ensure enough capacity exists for staging vehicles before finalizing a route.
Verifies parking addresses and regional distribution across multiple sites. They use get_parking_details to check current occupancy before sending a driver out.
Performs rapid, data-backed audits of Point of Interest (POI) density for urban planning projects, relying on precise coordinate retrieval and metadata.
What Changes When You Connect
- Automated Location Audits: Instead of manually searching multiple map layers, the agent runs
search_parking_spotsto find thousands of potential spots near an address. You get immediate metadata on facility names and addresses for cross-regional planning. - Real-Time Occupancy Checks: Stop guessing capacity. Use
get_parking_detailswith a specific ID to pull current occupancy status (High, Medium, Low). This is critical data for managing fleet size and scheduling. - Precise Geo-Verification: Need absolute coordinates? The server allows you to audit the exact geographic markers of any parking facility using coordinate lookups. This eliminates mapping ambiguity when building complex logistics models.
- Operational Confidence: Before running a major workflow, run
check_api_status. You confirm the entire TomTom service is up and healthy, preventing costly failures deep into your planning cycle. - Streamlined Planning Cycles: By integrating these tools, you cut out the copy/paste steps of data collection. The agent handles the API calls and presents the final structured result directly in your chat window.
Real-World Use Cases
Verifying a New Delivery Hub Site
A logistics planner needs to know if a proposed warehouse site can handle staging. They ask their agent to run search_parking_spots using the coordinates. The agent returns multiple viable garages and their addresses, allowing the planner to confirm capacity before signing any lease.
Checking Capacity for a Temporary Event
An event manager needs to guarantee parking for 500 people next week. They find three potential sites and use get_parking_details for each specific ID. The agent reports the maximum capacity and current status, ensuring the site can handle the crowd size.
Mapping Infrastructure Gaps
An urban researcher is studying downtown density and needs to map all available parking POIs. They ask the agent to audit coordinates across a large grid using search_parking_spots. The resulting data set provides precise location markers, helping them identify areas with poor infrastructure coverage.
Debugging Fleet Routing Failures
A fleet manager's routing software fails when approaching an old district. They ask the agent to verify the exact coordinates of several known parking facilities using check_api_status and coordinate tools. The precise data pinpoints which facility marker is inaccurate, solving a persistent mapping bug.
The Tradeoffs
Over-relying on general map searches
The user manually opens Google Maps and tries to eyeball if there are enough spots near the coordinates. This takes minutes, is inaccurate, and doesn't provide structured data.
→
Instead, use your agent to run search_parking_spots with the target coordinates. The agent returns a clean list of facilities and their metadata immediately.
Confusing search results with current status
The user finds a parking garage listed on an old website, assumes it's available, but doesn't know its capacity or if it's operational today.
→
First, use get_parking_details with the specific ID. This confirms both the facility details and the real-time occupancy status.
Assuming service uptime
A large workflow fails halfway through because the external API was down for maintenance, causing the entire project to stall.
→
Always start by running check_api_status. This simple call confirms the server is operational before you commit time or resources to complex searches.
When It Fits, When It Doesn't
Use this if your primary need is verifiable, real-time location data for logistics, planning, or auditing. If you have coordinates and need potential spots, use search_parking_spots. If you know a specific spot's ID and need its current capacity, use get_parking_details. Never confuse the two: searching finds possibilities; getting details confirms reality.
Don't use this if you just need general street directions or basic mapping. For that, standard map APIs work fine. But if your goal is to build a data pipeline—say, calculating optimal spot allocation for multiple sites—this server provides the necessary granular tools and domain-specific data that general services skip.
Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by TomTom Parking. 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 3 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.
Available Capabilities
Auditing urban mobility used to mean dozens of tabs open.
Before this MCP Server, auditing a single region meant opening multiple map interfaces. You'd copy coordinates from one service, paste them into another for POI metadata, and then switch over again just to check capacity against an internal database. It was slow, error-prone, and required serious context switching.
Now, your agent handles the entire sequence. Give it a location, and it uses `search_parking_spots` and other tools in sequence. You get one clean output that tells you everything: names, addresses, and availability metadata. It's instant data compilation.
TomTom Parking Availability MCP Server gives you certainty.
You no longer have to stop your workflow to verify if a site is still active or what its current capacity is. The ability to run `get_parking_details` with a single ID means you get definitive status updates, not just historical listings.
The biggest difference is moving from 'I think this spot might work' to 'The data confirms this spot has High occupancy and coordinates X/Y.' You gain reliable intelligence that moves your project forward.
Common Questions About TomTom Parking Availability MCP
How do I check if the TomTom Parking Availability MCP Server is working? +
Run check_api_status. This tool simply returns a boolean status, confirming whether the service is online and ready to accept requests. It's your first step before any major audit.
What parameters do I need for `search_parking_spots`? +
search_parking_spots requires a location identifier (a string address or latitude/longitude pair). This tells the agent where you want it to look for potential facilities.
Can I use `get_parking_details` without knowing the ID? +
No. The get_parking_details tool requires a specific parking ID number. If you don't have the ID, first run search_parking_spots to find candidates and get their IDs.
Does TomTom Parking Availability MCP Server support real-time data? +
Yes. The server is designed for real-time mobility intelligence. When you use get_parking_details, the availability metadata reflects current, live status updates from TomTom.
How do I set up `search_parking_spots` for the first time? +
You must subscribe to the server and provide your TomTom API Key. The agent needs this key to authenticate all calls before it can execute any searches. Don't forget that; without a valid key, none of the tools will work.
If `search_parking_spots` returns no results, what should I check? +
This usually means two things: either there are genuinely no spots at those coordinates, or your search parameters need refining. Double-check the geographic boundaries and ensure your location query is broad enough.
What kind of metadata does `get_parking_details` provide? +
It delivers specific data points beyond just a name and address. You get detailed information like current occupancy level, facility type, and precise coordinate groupings for deeper auditing.
Do I need to worry about rate limits when running multiple tools? +
Yes, all external APIs enforce usage quotas. If you run many consecutive searches or audits, monitor your API key dashboard. Slowing down your agent's query frequency prevents hitting those service limits.
How do I find my TomTom API Key? +
Log in to the TomTom Developer Portal, create an account, and generate a new API Key in your dashboard. Copy and paste it below.
Does it support real-time availability? +
Yes. The API provides real-time occupancy data for supported parking facilities where sensor metadata is available.
Can the agent search by city name? +
Yes. Use the search_parking_spots tool and provide the city name or a general query. Your agent will return matching facilities in that area instantly.
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
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