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Connect Paris Housing Rent Caps Social Housing 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 official rent caps and social housing stats instantly.

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.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

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.

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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.

  1. 01

    Count social housing

    This capability provides a quick total count of social-housing program entries. Use it to compare program volumes between different years or arrondissements.

  2. 02

    List rent caps

    This capability retrieves the official rent-control ceilings for Paris. It returns the max and min price per square meter based on room count, zone, building era, and furnishing status for the 2019 to 2025 period.

  3. 03

    List social housing

    This capability lists social-housing program details from 2001 to 2024. It includes delivery modes like new construction or rehabilitation and specific dwelling counts per arrondissement.

  4. 04

    Rent cap lookup

    This capability looks up specific rent caps for a single quartier. It provides the price per square meter for different room counts and furnishing types within that neighborhood.

Capability set02 / 02

05-07

3 capabilities in this set.

Part of 7 available through Paris Open Data.

  1. 05

    Count housing beneficiaries

    This capability returns a fast total count of housing waiting-list entries. It helps your agent quickly gauge the scale of applicants in a specific area.

  2. 06

    Count rent caps

    This capability calculates the total number of rent-cap rows available. It is useful for determining how much data your agent needs to page through for a specific query.

  3. 07

    List housing beneficiaries

    This capability pulls the waiting-list beneficiary counts for the Paris housing office. It breaks down applicants by household type, such as solo individuals or couples, per arrondissement.

Real work

What teams actually run

01

Compliance Checking

A landlord asks the agent to confirm if a 2-room furnished rental in a specific zone exceeds the legal cap.

02

Market Research

An analyst uses the agent to compare social housing delivery rates between different arrondissements over the last decade.

03

Demand Assessment

A researcher queries the agent to find which districts have the highest number of solo applicants on the housing waiting list.

04

Budget Planning

A developer uses the rent cap data to estimate potential rental income within specific Paris zones.

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.

ClaudeClaudeChatGPTChatGPTGeminiGeminiPerplexityPerplexityGrokGrokMicrosoft CopilotMicrosoft CopilotCursorCursorVS CodeVS CodeWindsurfWindsurfJetBrainsJetBrainsClineClineLangChainLangChainVercel AI SDKVercel AI SDKLovableLovableZ.aiZ.aiRaycastRaycastQwen CodeQwen CodeKimi CodeKimi CodeLe ChatLe Chat

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

1000ms average. Fast in production.

Paris Open Data is checked daily against the live service.

Daily averagePeak 1292ms
Sep 28Today
Fastest day
829ms
Slowest day
1292ms
14-day trend
Improving-36%

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_P6QYL27k5m4VIohKXoaslvO9SEciL64Jhd64HP6m/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — Paris Open Data capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "paris-housing-rent-caps-social-housing-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_P6QYL27k5m4VIohKXoaslvO9SEciL64Jhd64HP6m/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 serves professionals and residents interacting with the Parisian housing market and municipal data.

  • 01

    Landlords

    They use the agent to verify that their rental prices stay within the legal rent-control limits.

  • 02

    Renters

    They check the maximum allowed rent for a specific apartment to ensure fair pricing.

  • 03

    Urban Researchers

    They hand off data collection tasks to the agent to study social housing trends and waiting list pressures.

FAQ

Questions Paris Open Data owners ask.

  • 01

    Does this MCP cover furnished apartments?

    Yes, the rent cap capabilities include specific data for both furnished (meublé) and unfurnished (non meublé) rentals.

  • 02

    How recent is the social housing data?

    The MCP provides access to social-housing program data covering the years 2001 through 2024.

  • 03

    Can I see rent caps for specific neighborhoods?

    Yes, you can use the rent_cap_lookup capability to find the ceilings for a specific quartier.

  • 04

    What information is included in the rent cap results?

    The results include the maximum and minimum price per square meter for a given room count, zone, and building era.

  • 05

    How is the waiting list data categorized?

    The waiting list data is broken down by arrondissement and household type, including solo individuals and various types of couples.

  • 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

    What do the cap values mean?

    Each row holds the legal ceiling (max) and floor (min) rent in € per square meter for that room count, building era and furnishing status. The city publishes one reference per year. the 2025 vintage is the most recent.

  • 08

    Why can I not filter the social housing by the text "2024"?

    The social-housing annee and the waiting-list exercice columns are date-typed: a plain text equality is rejected by the platform. The capabilities convert your 4-digit year into a whole-year window automatically.

  • 09

    Which years are covered?

    Rent caps: 2019–2025 (text year). Social-housing programs: 2001–2024. Waiting-list beneficiaries: 2013–2025 (fiscal years).

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