MCP For Claude Marketplace
Paris Grants: Voted Association Subventions

Paris Grants: Voted Association Subventions MCP Connector for Claude

A+

Keyless Paris association-grant data: the 107,000+ voted subventions 2013–2026 — beneficiary, SIRET, amount, direction, type, granting body — with per-year series, big-grant filters and an overview.

8 tools Official Updated Oct 1, 2026 Official Vinkius Partner
More Details Connect to Claude

The City of Paris voted association grants (subventions votées) — keyless, straight from the Paris open-data platform (opendata.paris.fr).

What you can do

  • list_grants / count_grants / grant_lookup — the ~107,000 grant rows: file number (numero_de_dossier, the lookup key), budget year (display year 2013..2026), granting body (City / Department), the beneficiary association (name + SIRET), the grant object, the voted amount in euros, the granting direction code (DDCT, DJS, DAE, DAC, DASES, DFPE...), the grant type and the association's activity sectors (an array, returned as-is)
  • beneficiary_history — one association's whole grant history, optionally restricted to one year
  • big_grants — the grants at or above a minimum voted amount (a bare integer >=; 1e6 returns 501 rows)
  • grants_by_year — per-year totals across 2013..2026 (capped at 12 years, most recent first when the range is wider) with the range sum and the last-minus-first delta
  • grants_by_direction / grants_overview — one direction's total, and the preset facets: top beneficiaries, the type split, the granting bodies and the top directions

Who is this for

Civic journalists, researchers on Paris's associative fabric, and anyone checking whether a given association receives city money. The budget-year column is date-typed, so the annee filter is applied as a quoted ISO year window; the amount is a plain integer with a bare >= filter.

parisfrancegrantssubventionsassociationspublic-spendingkeyless

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

grants_by_direction

g. "DDCT" culture — the largest with ~25,000 files — "DAC", "DJS" sport, "DFPE", "DASES", "DAE"). direction is required; optionally restrict to one budget year. Count the grants of one granting direction

grants_overview

No parameters. Overview of the voted-grants dataset: top beneficiaries, types, bodies, directions

grant_lookup

g. "2021_04573") exactly matches the given value. numero_de_dossier is required; 0 or 1 row comes back with the beneficiary, SIRET, amount, direction, type, granting body and the association’s activity sectors. Look up a grant by its file number

grants_by_year

year_to, 4 digits, both ends clamped to "2013".."2026", default 2015..2026, capped at 12 years — the most recent years win), computed as one fast DATE-window count per year, plus the range total and the last-minus-first delta. Optionally restricted to one direction or one grant type. Count the grants per budget year

beneficiary_history

beneficiary is required; optionally restrict to one budget year (annee, "2013".."2026"). Each row carries the amount (montant_vote), direction and type, so the response doubles as a small per-association report. List the grants received by one association

big_grants

min_amount is required; optionally restrict to one budget year (annee) and/or one grant type (nature). Useful to surface the city’s largest associations’ grants, e.g. min_amount 1000000 (501 rows city-wide at that floor in the current data). List the largest grants by a minimum voted amount

count_grants

"2026"), direction (code), nature (stored type), collectivite ("Ville de Paris" / "Département de Paris"), beneficiary (stored association name) and min_amount (euros on montant_vote). A fast total count — use it to compare volumes between directions, types or years. Count association grants by year, direction, type, body or amount

list_grants

Each row has: the file number (numero_de_dossier, e.g. "2021_04573" — the lookup key), the budget year (annee_budgetaire, the display year "2013".."2026" — the column is DATE-typed, so the annee filter maps to a quoted ISO year window over it), the granting body (collectivite: "Ville de Paris" or "Département de Paris" — a small legacy "v" value also exists), the beneficiary association (nom_beneficiaire, with its SIRET), the grant object (objet_du_dossier), the voted amount in euros (montant_vote, an integer), the granting direction (direction, a code such as "DDCT" culture, "DAE" European affairs, "DJS" sport, "DAC", "DASES" or "DFPE"), the grant type (nature_de_la_subvention: "Fonctionnement", "Projet", "Investissement", "Non précisée" or "Indéterminée") and the association’s activity sectors (secteurs_d_activites_definies_par_l_association, an array — returned as-is, not filterable). Page with limit/offset (100 rows max per call). List the voted association grants (subventions) of the City of Paris

See how to talk to your AI agent using Paris Grants: Voted Association Subventions.

How many grants did the sport direction file in 2021?

Call count_grants with direction "DJS" and annee "2021" — one fast total; grants_by_direction gives the all-years count for the same direction.

Which associations received the largest grants?

Run big_grants with min_amount "1000000" — the rows list the beneficiary, its SIRET, the direction and the voted amount; page with limit/offset for the long tail.

Does the LESTUDIO TALENTS association receive city grants?

Call beneficiary_history with beneficiary "LESTUDIO TALENTS" — the total counts its grants across all years and the rows show each amount, direction and type; add annee for one year.

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