
Connect Paris Schools Elementary Schools Catchmen 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. Map school catchment sectors and census data instantly.
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.

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.
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.
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.
01-04
4 capabilities in this set.
Part of 7 available through Paris Open Data.
- 01
Count school sectors
Returns the total number of catchment-sector rows, which usually sits between 370 and 380 per school year.
- 02
School census
Provides a summary of the school census and sector counts for a specific year alongside city-wide totals.
- 03
Count schools
Calculates the total number of elementary school rows for a given year, typically around 350 to 380 entries.
- 04
Find school sectors
Identifies which catchment sectors assign children to a specific school by checking all four assigned-school columns.
05-07
3 capabilities in this set.
Part of 7 available through Paris Open Data.
- 05
List school sectors
Lists catchment sectors including their labels, zones, and the up to four assigned schools and addresses.
- 06
List schools
Retrieves the full list of Paris public elementary schools with their addresses, arrondissement, and school year.
- 07
School lookup
Finds a specific school by its registered name, including the uppercase format and school code.
Real work
What teams actually run
Residential Planning
A parent uses the MCP to find out which school their new address in Paris falls into.
Urban Research
A researcher compares the number of schools in an arrondissement against the number of catchment sectors.
Data Journalism
A reporter pulls census totals for 2020 versus 2027 to track changes in school availability.
Administrative Audits
Verifying that school sector assignments match the current year's census data.
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.
Claude
ChatGPT
Gemini
Perplexity
Grok
Microsoft Copilot
Cursor
VS Code
Windsurf
JetBrains
Cline
LangChain
Vercel AI SDK
Lovable
Z.ai
Raycast
Qwen Code
Kimi Code
Le ChatBuilding 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
939ms average. Fast in production.
Paris Open Data is checked daily against the live service.
- Fastest day
- 721ms
- Slowest day
- 1196ms
- 14-day trend
- Improving-35%
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.
https://edge.vinkius.com/vk_preview_HuXXCEx7pjGHAC0hgMzJVXmJSezVKeNH5DX9QPK4/mcpClaude 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.
{
"mcpServers": {
"paris-schools-elementary-schools-catchment-sectors-mcp": {
"url": "https://edge.vinkius.com/vk_preview_HuXXCEx7pjGHAC0hgMzJVXmJSezVKeNH5DX9QPK4/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
Who it's for
Built for the work Paris Open Data owners hand off.
This MCP is built for professionals needing precise, official school geography and census data for Paris.
- 01
Parents
Checking which school a specific residential address is assigned to.
- 02
Journalists
Tracking school supply and census trends across different years.
- 03
Researchers
Comparing school year census data against catchment sector assignments.
FAQ
Questions Paris Open Data owners ask.
- 01
What years of school data are available?
The census data covers school years from 2020 through 2027.
- 02
How do I find the correct name for a school?
You should use the school_lookup or list_schools capabilities first. Names are stored in uppercase with a school code in parentheses.
- 03
Can I find which school a specific street belongs to?
Yes, you can use list_school_sectors to see the zones and assigned schools for specific areas.
- 04
Is this data official?
Yes, the data comes directly from the Paris open-data platform (opendata.paris.fr).
- 05
What is the difference between Elémentaire and Polyvalent?
These are the two school types stored in the census data, which you can filter for using list_schools.
- 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 a catchment sector?
A secteur scolaire is a neighborhood group that the city assigns to up to four elementary schools (the lib_etab_1..4 columns). Children in the sector's zone are enrolled in those schools. find_school_sectors answers "which sectors send children to school X".
- 08
Why do I sometimes get 0 rows from school_lookup?
Names are stored UPPERCASE with the school code in parentheses and an ELEM/POLY suffix ("LITTRE (6) ELEM"). The match is exact. run list_schools first to discover the stored form. School years rotate, so a school may only appear in the years it was open.
- 09
Which school years are covered?
Both datasets span 2020-2021 through 2026-2027; the census also holds a few rows with a null year. The newest year (2026-2027) is the current assignment calendar.
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Connect Paris Open Data to Claude, Cursor, ChatGPT & more
