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⇱ MCP Server French Companies - Pappers Sirene for AI Agents Β· Apify


πŸ‘ MCP Server: French Companies (Pappers + Sirene) avatar

MCP Server: French Companies (Pappers + Sirene)

Pricing

$10.00 / 1,000 tool calls

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MCP Server: French Companies (Pappers + Sirene)

Apify-hosted MCP server exposing 5 tools for AI agents: search/get/dirigeants/by-NAF/by-city across 26M+ French companies. Backed by official gov API, no key required, $0.01 per tool call.

Pricing

$10.00 / 1,000 tool calls

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Developer

πŸ‘ Walid

Walid

Maintained by Community

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1

Bookmarked

6

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1

Monthly active users

11 days ago

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Pappers MCP Server β€” 26M French Companies (SIREN/SIRET) for AI Agents

Apify-hosted MCP server giving AI agents (Claude, Cursor, Continue) instant access to 26M+ French companies via the official Sirene API. Search by name, SIREN, SIRET, NAF code, city, or executive (dirigeant). No API key, no proxy, free official government data. $0.01 per tool call.

⭐ Bookmark this Pappers MCP Server β€” Apify ranks actors by bookmarks, so it directly helps the visibility of this server on the Apify Store.

What is the Pappers MCP Server?

The Pappers MCP Server is an Apify actor implementing the Model Context Protocol for the Pappers / Sirene database β€” France's official company registry. It exposes 5 tools your AI agent can call to search, fetch, and enrich French company records (Pappers data + Sirene data combined). Backed by the free official endpoint at recherche-entreprises.api.gouv.fr β€” no API key, no rate limit headaches, no proxy.

Use it standalone via the Apify API, or wire it into Claude Desktop / Cursor / Continue.dev as an MCP server to give your agent live B2B intelligence on French companies.

Use cases

  • B2B prospecting agents β€” let your AI agent build SIREN-keyed lead lists by NAF code, city, or executive name.
  • KYC / compliance copilots β€” verify SIRET, get registered address, dirigeants, legal form, in one tool call.
  • CRM enrichment bots β€” auto-fill missing fields (NAF, GPS, headcount band) on existing France records.
  • Market sizing β€” count active companies by NAF, by department, by employee band.
  • Investigative journalism / OSINT β€” find all companies of a given executive across France.

Tools available

ToolWhat it returns
search_companies(query, limit)Up to 25 companies matching free-text query
get_company(siren_or_siret)One full company record (SIREN-resolved)
find_dirigeants(name, limit)Companies linked to a person's name
companies_by_naf(naf_code, limit)Companies by activity code (e.g. 62.01Z)
companies_by_city(city, limit)Companies by libelle_commune
list_toolsFree β€” schema discovery

Input

{
"mode":"call_tool",
"tool_name":"search_companies",
"arguments":{"query":"Decathlon","limit":5}
}

Set mode: "list_tools" to get the full input schema for every tool β€” that call is free.

Output

{
"siren":"306138900",
"siret":"30613890051571",
"name":"DECATHLON FRANCE",
"naf_code":"47.64Z",
"naf_label":"Commerce de dΓ©tail d'articles de sport",
"headquarters":{"city":"VILLENEUVE-D'ASCQ","postal_code":"59650"},
"dirigeants":[{"first_name":"Barbara","last_name":"MARTIN COIA","role":"PrΓ©sidente"}],
"pappers_url":"https://www.pappers.fr/entreprise/306138900"
}

Pricing

PAY_PER_EVENT β€” $0.01 per tool call (= $10 per 1,000). Free actor starts. The list_tools discovery call is free. No charge if a tool returns an error.

FAQ

Pappers API or Sirene β€” which one? Both. The actor uses recherche-entreprises.api.gouv.fr, which fuses Sirene data with INSEE data, executives data (dirigeants), and BODACC events. You get richer records than the raw Sirene API.

Why MCP instead of a regular scraper? MCP lets an AI agent decide which tool to call dynamically. For deterministic batch enrichment, see the standalone Pappers / Sirene Scraper.

Does it work in Claude Desktop? Yes β€” wire the Apify actor URL as an MCP server and your AI agent gets the 5 tools instantly.


⭐ Found this useful? Bookmark this Pappers MCP Server β€” it's the strongest signal for Apify Store ranking.

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License: MIT Β· Author: dltik

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