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.

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".

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.

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.

Paris Schools: Elementary Schools & Catchment Sectors MCP Connector for Claude

A+

Keyless Paris elementary-school data: the school census (name, address, arrondissement, school year, 2020–2027) and the catchment sectors that assign streets to up to four schools.

7 tools Official Updated Oct 1, 2026 Official Vinkius Partner

More Details Connect to Claude

The City of Paris elementary-school census and its catchment-sector (secteur scolaire) assignments — keyless, straight from the Paris open-data platform (opendata.paris.fr).

What you can do

list_schools / count_schools / school_lookup — the ~2,200 school-year rows: the stored name (e.g. "LITTRE (6) ELEM" — the number is the school code), street address, arrondissement, school year and type (Elémentaire / Polyvalent)
list_school_sectors / count_school_sectors — the ~2,500 catchment-sector rows: each sector labels its zone and lists up to four assigned schools (lib_etab_1..4) with their addresses
find_school_sectors — the reverse lookup: given a school name, which sectors assign children to it (all four columns are probed and deduplicated)
school_census — the two dataset totals for a school year, with the city-wide totals for context

Who is this for

Parents checking which school their address feeds into, journalists and researchers tracking school supply, and anyone comparing a school year's census against its sectors. Names are stored UPPERCASE with the code in parentheses — use school_lookup or list_schools to discover the exact stored form first.

parisfranceschoolselementarycatchment-sectorsschool-censuskeyless

7 tools expose this connector's capabilities to your AI agent.

count_school_sectors

A fast total count — about 370–380 sectors per school year. Count catchment-sector rows, optionally filtered

school_census

"2026-2027"): how many school census rows and how many catchment-sector rows that year holds, plus the city-wide totals without the year filter for context. A fast overview — use it before paging list_schools / list_school_sectors for a year. Summarize the school census and sector counts for a school year

count_schools

A fast total count — the city-wide census per year is about 350–380 rows. Count elementary-school rows, optionally filtered

find_school_sectors

g. "LITTRE (6) ELEM") is matched against all four assigned-school columns of the sector dataset (lib_etab_1..lib_etab_4) and the matching sectors are returned, optionally for one school year (annee_scol). Use it to answer "which streets/sectors send children to school X". The match is an exact stored-name equality, so use the stored UPPERCASE form from list_schools / school_lookup. Find the catchment sectors that assign to a given school

list_school_sectors

Each row has the sector label (libelle, e.g. "Z. MANIN(30)/MANIN(40B)"), the zone commune, up to four assigned schools (lib_etab_1..lib_etab_4 and their addresses) and the year. A sector is a catchment area: children of its addresses are assigned to the schools listed in the lib_etab columns. Filters are exact stored values; page with limit/offset (100 rows max per call). List elementary-school catchment sectors (secteurs scolaires)

list_schools

Each row has the school name as stored (libelle, e.g. "LITTRE (6) ELEM" — number in parentheses is the school code), the street address, the arrondissement (arr_libelle as stored "Xème Ardt", plus the arr_insee code), the school year (annee_scol, "2020-2021".."2026-2027") and the type (type_etabl: "Elémentaire" or "Polyvalent"). Filters are exact stored values; page with limit/offset (100 rows max per call). List Paris public elementary schools

school_lookup

g. "LITTRE (6) ELEM". Names are stored UPPERCASE with the school code in parentheses and an ELEM/POLY suffix, and the same school appears once per school year, so expect up to 7 rows. Use list_schools first to discover the exact stored form. Look up Paris elementary schools by name

Connect to Claude

Subscribe on Vinkius, then add this connector to Claude.ai or Claude Code.

① Claude.ai (web app)

Go to Settings → Connectors → Add custom connector
Paste the MCP endpoint URL below

https://edge.vinkius.com/vk_preview_HuXXCEx7pjGHAC0hgMzJVXmJSezVKeNH5DX9QPK4/mcp

② Claude Code (terminal)

claude mcp add --transport http paris-schools-elementary-schools-catchment-sectors https://edge.vinkius.com/vk_preview_HuXXCEx7pjGHAC0hgMzJVXmJSezVKeNH5DX9QPK4/mcp

③ Claude Desktop

Add to claude_desktop_config.json:

{
  "mcpServers": {
    "paris-schools-elementary-schools-catchment-sectors": {
      "url": "https://edge.vinkius.com/vk_preview_HuXXCEx7pjGHAC0hgMzJVXmJSezVKeNH5DX9QPK4/mcp"
    }
  }
}

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