Are these parking garages free?

No, all 125 covered structures in this dataset are paid facilities.

How is the garage name formatted?

Names are stored in uppercase without accents, such as INVALIDES or FREMICOURT.

Can I filter by specific vehicle types?

Yes, you can filter for structures that specifically offer PMR, bicycle, or shared-mobility spaces.

Does the data include electric vehicle charging info?

No, the electric vehicle column is null across this dataset and is not exposed as a filter.

How many structures are in the dataset?

The dataset contains exactly 125 covered parking structures in Paris.

Do I need an API key?

No. opendata.paris.fr serves all city datasets anonymously over its Opendatasoft REST API. This MCP defines no credentials and needs nothing configured.

Why are all the structures paid?

The gratuit flag is 0 on every one of the 125 rows. the city currently has no free covered structure. Free surface parking (parkings de surface) is a separate dataset not covered by this MCP.

What do the place-count columns mean?

nb_places is the total, nb_pr the standard places, nb_pmr the handicap-accessible places, nb_velo the bicycle places, nb_autopartage the shared-mobility places and nb_covoit the carpool places. All are integers; the PMR, bike and shared-mobility capabilities apply a >= 1 filter on the relevant column.

Does insee always mean a Paris arrondissement?

Mostly: "75101".."75120" are the 20 arrondissements, but one structure sits in Saint-Denis ("94080"). Filter by the "751xx" codes when you only want Paris proper.

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Connect Paris Parking Covered Parking Structures to your AI

Set it up once and it works in ChatGPT, Claude, Cursor, and any other client you love. It all runs safely in the background, so you can relax and focus on what really matters. Get instant access to Paris underground parking data.

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

Your AI does the work. We keep it safe and sound.

No other AI tool gives you this. Your workflow runs in the client you already love, your account stays protected, and you decide what the agent can and cannot do. It is the whole reason to make the switch.

Each Connector lives inside our infrastructure, the same place where your workflow runs. The three things below are already part of it, working quietly in the background so you never have to think about them. Nothing to add, nothing to set up, nothing to worry about.

V8 Isolate01

Each Connector runs inside its own sealed environment.

Each Connector runs inside its own sealed V8 runtime — no access to your files, your system, or other servers. A Connector never sees past its own request.

Kill Switch02

One switch stops every agent. Instantly.

One action deactivates every Connector, revokes every token, and ends every session at once. AI Governance keeps the record.

FinOps per User03

Spending limits that pause instead of surprise.

Every user keeps their own connections and credentials, isolated from everyone else. Anything that would cross your spending limit is held for your approval, not billed.

Three controls, built into the layer your AI connects through.

Curated set · 7 capabilities

We ship only the actions that matter.

Capability set01 / 02

01-04

4 capabilities in this set.

Part of 7 available through Paris Open Data.

01
List parking garages
Lists all 125 covered parking structures in Paris. Each entry includes the name in uppercase, address, arrondissement, user type, and detailed capacity counts for various vehicle types.
02
Parking capacity overview
Provides a city-wide summary of all covered parking capacity. It returns total sums for standard, PMR, bicycle, and shared-mobility spaces.
03
Parking garage lookup
Finds specific parking structures by their name. You can also restrict the search to a single arrondissement.
04
Pmr garages
Filters the list to show only structures that contain at least one accessible (PMR) parking space.

Capability set02 / 02

05-07

3 capabilities in this set.

Part of 7 available through Paris Open Data.

05
Bike garages
Identifies parking structures that offer dedicated bicycle parking spaces.
06
Count parking garages
Returns a quick total count of available parking structures, with optional filters for arrondissement or user type.
07
Shared mobility garages
Retrieves a list of parking structures that include spaces for shared-mobility services.

Real work

What teams actually run

Accessibility Mapping

Identify all garages in a specific district that meet PMR requirements.

Micro-mobility Planning

Locate parking structures that support bicycle or shared-mobility users.

Fleet Routing

Check height limits and addresses for specific garages to plan vehicle access.

City-wide Benchmarking

Compare the total number of parking spots in one arrondissement against another.

One connector, every AI

Paris Open Data works with the most popular AI clients.

These are the most popular clients, each with a step-by-step guide: one link, set up once, with governance and visibility built in. And because everything runs on the MCP standard, the same connection also works in any other compatible client — nothing to rebuild.

Building your own app? The connector is yours to use.

You don't need a client to put Paris Open Data to work: the same hosted connection plugs into your own applications and agent code, with the same governance on every request. Build with it, chat with it — one connection for both.

Observed, not estimated

967ms average. Fast in production.

Paris Open Data is checked daily against the live service.

Daily averagePeak 1123ms

Sep 28Today

Fastest day: 746ms
Slowest day: 1123ms
14-day trend: Improving-12%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 7 capabilities arrive ready to run.

Preview access · not provider authentication

The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of Paris Open Data, so you can see the experience inside your AI.

It does not authenticate your account with Paris Open Data. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

Paris Open Data Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_qeF76MDxSBFVubckL1mV2iNqauLzcVGq03VLKpNA/mcp

Claude Desktop

Follow the steps below to connect in seconds.

1In Claude Desktop, open Settings → Connectors.
2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
3Click Add and start a new chat — Paris Open Data capabilities are ready to use.

Configuration · claude_desktop_config.jsonCopy

{
  "mcpServers": {
    "paris-parking-covered-parking-structures-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_qeF76MDxSBFVubckL1mV2iNqauLzcVGq03VLKpNA/mcp"
    }
  }
}

Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline

Step-by-step instructions for each client are in the guide. How to connect

Guided setup for Claude? Set up Paris Open Data in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Paris Open Data owners hand off.

This MCP is built for anyone needing precise, real-time urban infrastructure data for Paris.

01
Urban Planners
Use the capability to benchmark parking capacity and accessibility across different districts.
02
Logistics Developers
Integrate specific garage coordinates and height limits into routing or planning agents.
03
Data Analysts
Pull structured datasets of Paris parking stock for mobility studies.

FAQ

Questions Paris Open Data owners ask.

01
Are these parking garages free?
No, all 125 covered structures in this dataset are paid facilities.
02
How is the garage name formatted?
Names are stored in uppercase without accents, such as INVALIDES or FREMICOURT.
03
Can I filter by specific vehicle types?
Yes, you can filter for structures that specifically offer PMR, bicycle, or shared-mobility spaces.
04
Does the data include electric vehicle charging info?
No, the electric vehicle column is null across this dataset and is not exposed as a filter.
05
How many structures are in the dataset?
The dataset contains exactly 125 covered parking structures in Paris.
06
Do I need an API key?
No. opendata.paris.fr serves all city datasets anonymously over its Opendatasoft REST API. This MCP defines no credentials and needs nothing configured.
07
Why are all the structures paid?
The gratuit flag is 0 on every one of the 125 rows. the city currently has no free covered structure. Free surface parking (parkings de surface) is a separate dataset not covered by this MCP.
08
What do the place-count columns mean?
nb_places is the total, nb_pr the standard places, nb_pmr the handicap-accessible places, nb_velo the bicycle places, nb_autopartage the shared-mobility places and nb_covoit the carpool places. All are integers; the PMR, bike and shared-mobility capabilities apply a >= 1 filter on the relevant column.
09
Does insee always mean a Paris arrondissement?
Mostly: "75101".."75120" are the 20 arrondissements, but one structure sits in Saint-Denis ("94080"). Filter by the "751xx" codes when you only want Paris proper.

Explore

More in Government Public Data

Connect Paris Open Data to Claude, Cursor, ChatGPT & more

Your AI does the work. We keep it safe and sound.

Each Connector runs inside its own sealed environment.

One switch stops every agent. Instantly.

Spending limits that pause instead of surprise.

We ship only the actions that matter.

01-04

List parking garages

Parking capacity overview

Parking garage lookup

Pmr garages

05-07

Bike garages

Count parking garages

Shared mobility garages

What teams actually run

Accessibility Mapping

Micro-mobility Planning

Fleet Routing

City-wide Benchmarking

Building your own app? The connector is yours to use.

Paris Open Data Connector

Claude Desktop

Urban Planners

Logistics Developers

Data Analysts

Are these parking garages free?

How is the garage name formatted?

Can I filter by specific vehicle types?

Does the data include electric vehicle charging info?

How many structures are in the dataset?

Do I need an API key?

Why are all the structures paid?

What do the place-count columns mean?

Does insee always mean a Paris arrondissement?

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