Pappers MCP Server — 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.

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What is the Pappers MCP Server?

The Pappers MCP Server is an Apify actor implementing the Model Context Protocol for the Pappers / Sirene database — 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 — 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 — let your AI agent build SIREN-keyed lead lists by NAF code, city, or executive name.
• KYC / compliance copilots — verify SIRET, get registered address, dirigeants, legal form, in one tool call.
• CRM enrichment bots — auto-fill missing fields (NAF, GPS, headcount band) on existing France records.
• Market sizing — count active companies by NAF, by department, by employee band.
• Investigative journalism / OSINT — find all companies of a given executive across France.

Tools available

Tool	What 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_tools	Free — 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 — that call is free.

Output

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

Pricing

PAY_PER_EVENT — $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 — 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 — wire the Apify actor URL as an MCP server and your AI agent gets the 5 tools instantly.

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Related actors

• Pappers / Sirene Scraper — bulk batch version, same data, no MCP wrapper
• BODACC MCP Server — French court announcements (M&A, distress, new businesses)
• SEC EDGAR MCP Server — same pattern for US public companies

License: MIT · Author: dltik