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Connect Paris Plaques Commemorative Memorials 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. Query the history of Paris street plaques through your agent.

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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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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 · 8 capabilities

We ship only the actions that matter.

Capability set01 / 02

01-04

4 capabilities in this set.

Part of 8 available through Paris Open Data.

  1. 01

    List ww2 plaques

    This capability lists the 1939-1945 commemorative plaques. It returns the inscription, full address, postal code, and WGS84 coordinates for each record.

  2. 02

    Plaque lookup

    This capability finds a specific plaque using its index. It returns the address, placement, inscription, material, century, theme, and the person commemorated.

  3. 03

    Count plaques

    This capability provides a fast total count of plaques. You can filter the count by arrondissement, century, theme, or person.

  4. 04

    Count ww2 plaques

    This capability returns the total number of 1939-1945 commemorative plaques in the dataset.

Capability set02 / 02

05-08

4 capabilities in this set.

Part of 8 available through Paris Open Data.

  1. 05

    List plaques

    This capability lists the general Paris commemorative plaques. It includes the index, arrondissement, address, placement, inscription, material, century, theme, person, and countries involved.

  2. 06

    Plaques by arrondissement

    This capability counts how many plaques exist within a specific arrondissement (1 through 20).

  3. 07

    Plaques by century

    This capability counts the plaques associated with a specific century or century range.

  4. 08

    Plaques overview

    This capability provides a high-level summary of the plaque inventory, including breakdowns of centuries, arrondissements, and materials.

Real work

What teams actually run

01

Mapping WWII History

Use the WWII dataset to get coordinates and addresses for specific memorial sites.

02

Thematic Research

Query the theme or person fields to find all plaques dedicated to specific artists or figures.

03

District Analysis

Compare the number of historical markers between different arrondissements.

04

Material Studies

Check the overview to see which materials, like marble or copper, are most common in Paris memorials.

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

898ms average. Fast in production.

Paris Open Data is checked daily against the live service.

Daily averagePeak 1013ms
Oct 3Today
Fastest day
738ms
Slowest day
1013ms
14-day trend
Stable-2%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 8 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_Bb0xySoiwzvy6E2D4VOQdy7IxWYY2S7522oK4TsM/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-plaques-commemorative-memorials-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_Bb0xySoiwzvy6E2D4VOQdy7IxWYY2S7522oK4TsM/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 researchers and writers who need to pull specific historical data about Paris street memorials.

  • 01

    Historians

    They use the capability to find concentrations of memorials from specific centuries or themes.

  • 02

    Journalists

    They query specific addresses and inscriptions for stories about Paris memory sites.

  • 03

    Urban Researchers

    They use the arrondissement and coordinate data to map historical markers.

FAQ

Questions Paris Open Data owners ask.

  • 01

    Where does this data come from?

    The data is pulled directly from the official Paris open-data platform (opendata.paris.fr).

  • 02

    Can I get GPS coordinates for the memorials?

    Yes, the 1939-1945 memorial dataset includes WGS84 coordinates for each entry.

  • 03

    Does it include information on the people commemorated?

    Yes, the capabilities allow you to filter and retrieve the names of the people honored on the plaques.

  • 04

    How many arrondissements are covered?

    The data covers all 20 arrondissements of Paris.

  • 05

    What kind of materials are listed?

    The dataset includes approximately 20 different material types, such as copper or marble.

  • 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 is the difference between the two plaque datasets?

    The main dataset (~2,600 rows) is the city-wide inventory across all centuries and themes, with the material, theme and person fields; the 1939-1945 dataset (~1,200 rows) is a dedicated WWII memorials register with its own fields (identifiant, commemorore, adresse_complete, postal code and coordinates).

  • 08

    Why does siecle accept "18-19"?

    Century values are stored as text, and the source uses range labels for plaques spanning two centuries. "18-19" is a stored value you can filter on exactly like "19".

  • 09

    Are the addresses complete enough to geocode?

    The main dataset stores the street address and the exact placement (floor, façade) plus WGS84 coordinates; the 1939-1945 dataset adds the postal code (stored under the odd field name "empty") and an xy coordinate object.

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