# INPI MCP Server - French Company Legal + Patent Data (`dltik/mcp-server-inpi`) Actor Apify-hosted MCP server with 6 tools for AI agents: French company legal data (RNE/SIREN, legal form, officers) and INPI/EPO patents by company, applicant or keyword. Free official French gov APIs, no key, $0.01 per tool call. - **URL**: https://apify.com/dltik/mcp-server-inpi.md - **Developed by:** [dltik](https://apify.com/dltik) (community) - **Categories:** Developer tools, Business, AI - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing $10.00 / 1,000 tool calls This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## INPI MCP Server - French Company Legal Data + Patents for AI Agents > Apify-hosted **MCP server** giving AI agents (Claude, Cursor, Continue) instant access to French **company legal data** (RNE - Registre National des Entreprises) and **French + European patents** (INPI + EPO/OEB). Search by SIREN, applicant, keyword, or publication number. No API key, no proxy, free official government data. **$0.01 per tool call**. ⭐ **Bookmark this INPI MCP Server** - Apify ranks actors by bookmarks, so it directly helps the visibility of this server on the Apify Store. ### What is the INPI MCP Server? The **INPI MCP Server** is an Apify actor implementing the [Model Context Protocol](https://modelcontextprotocol.io/) for French legal and intellectual-property data. It exposes 6 tools your AI agent can call to look up the legal status of any French company and explore its patent portfolio. It is backed by two **free official French government APIs** - no API key, no rate-limit headaches, no proxy: - **`recherche-entreprises.api.gouv.fr`** - RNE company legal data (legal form, officers, registration acts, headquarters). - **`data.enseignementsup-recherche.gouv.fr`** - the official INPI/OEB patents dataset (French INPI + European EPO filings, linked to company SIREN). 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 French legal + IP intelligence. ### Use cases - **IP due-diligence agents** - pull a target company's full patent portfolio + legal status in one call before an acquisition or investment. - **Legal / KYC copilots** - verify legal form, officers (dirigeants), RNE registration date and administrative status from a SIREN. - **Patent intelligence bots** - map who is filing patents in a technology domain, by applicant or keyword, across France and the EPO. - **Competitive R&D monitoring** - track a competitor's patent output by year and technology domain. - **Innovation scoring / VC screening** - enrich a French company record with its patent count and tech focus. ### Tools available | Tool | What it returns | |---|---| | `search_company_acts(query, limit)` | French companies + their RNE legal profile and key registry acts | | `get_company_legal(siren)` | One full legal record: legal form, officers, status, HQ, VAT | | `search_patents(query, limit, year)` | Patents by keyword/applicant (INPI + EPO/OEB) | | `get_patent(publication_number)` | One full patent record by publication number | | `company_patents(siren, limit)` | A company's full patent portfolio by SIREN | | `company_ip_portfolio(siren)` | Combined legal + patent portfolio with tech/year breakdowns | | `list_tools` | Free - schema discovery | ### Input ```json { "mode": "call_tool", "tool_name": "company_ip_portfolio", "arguments": { "siren": "552067092" } } ```` Set `mode: "list_tools"` to get the full input schema for every tool - that call is free. ### Output ```json { "siren": "552067092", "company": { "name": "COMPAGNIE GERVAIS DANONE", "legal_form": "Societe anonyme (SA)", "administrative_status": "active", "officers": [{ "last_name": "...", "role": "Administrateur" }] }, "patents": { "total": 179, "top_technology_domains": { "Chimie": 41, "Instruments": 12 }, "patents_by_year": { "2014": 9, "2015": 11 }, "items": [{ "publication_number": "EP2833898", "applicants": ["Compagnie Gervais Danone"] }] } } ``` ### 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 or an empty result. ### Coverage and data sources - **Company legal data** comes from the RNE (Registre National des Entreprises, operated by INPI) via the free `recherche-entreprises.api.gouv.fr` endpoint - 26M+ French companies, daily updates. - **Patents** come from the official INPI/OEB dataset (`fr-esr-brevets-france-inpi-oeb`): French INPI filings + European patents (EPO/OEB), each linked to the applicant's SIREN, with technology domain, IPC codes and an Espacenet deep link. ### FAQ **Does this cover trademarks (marques)?** Not currently. INPI's trademark/patent diffusion API on `data.inpi.fr` is account-gated behind Cloudflare and requires a registered INPI technical account, and the only fully-open trademark export is a multi-gigabyte static file that cannot be queried per request. This server therefore covers the fully-open INPI data: **RNE company legal acts + the INPI/OEB patent registry**. Trademark tools will be added if/when a no-auth INPI marques endpoint becomes available. **What are "acts" here?** The open RNE-published registry facts: registration date, last update, administrative status, establishment counts, registered officers. Full scanned acts (statuts, PV, comptes annuels in PDF) require a free INPI account on data.inpi.fr and are not exposed by the open API. **Why MCP instead of a regular scraper?** MCP lets an AI agent *decide* which tool to call dynamically - look up a company, then pivot to its patents - in a single agent loop. **Does it work in Claude Desktop?** Yes - wire the Apify actor as an MCP server and your AI agent gets all 6 tools instantly. *** ⭐ **Found this useful? Bookmark this INPI MCP Server** - it's the strongest signal for Apify Store ranking. #### Related actors - [Pappers / Sirene MCP Server](https://apify.com/dltik/mcp-server-pappers) - 26M French companies, SIREN/SIRET/dirigeants - [BODACC MCP Server](https://apify.com/dltik/mcp-server-bodacc) - French court announcements (M\&A, distress, new businesses) - [Data Gouv FR MCP Server](https://apify.com/dltik/mcp-server-data-gouv) - DPE, DVF, BAN, INSEE - 6 tools License: MIT - Author: [dltik](https://apify.com/dltik) # Actor input Schema ## `mode` (type: `string`): list\_tools (free, returns the tool catalog) or call\_tool (charged $0.01 per call). ## `tool_name` (type: `string`): Tool to call. Use mode=list\_tools to discover every tool and its arguments. ## `arguments` (type: `object`): Arguments object for the chosen tool. Run mode=list\_tools for the full per-tool schema and examples. ## Actor input object example ```json { "mode": "call_tool", "tool_name": "search_patents", "arguments": { "query": "Danone", "limit": 5 } } ``` # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "arguments": { "query": "Danone", "limit": 5 } }; // Run the Actor and wait for it to finish const run = await client.actor("dltik/mcp-server-inpi").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "arguments": { "query": "Danone", "limit": 5, } } # Run the Actor and wait for it to finish run = client.actor("dltik/mcp-server-inpi").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "arguments": { "query": "Danone", "limit": 5 } }' | apify call dltik/mcp-server-inpi --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=dltik/mcp-server-inpi", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "INPI MCP Server - French Company Legal + Patent Data", "description": "Apify-hosted MCP server with 6 tools for AI agents: French company legal data (RNE/SIREN, legal form, officers) and INPI/EPO patents by company, applicant or keyword. Free official French gov APIs, no key, $0.01 per tool call.", "version": "1.0", "x-build-id": "LHTofAf9GzPGXr5Jx" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/dltik~mcp-server-inpi/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-dltik-mcp-server-inpi", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/dltik~mcp-server-inpi/runs": { "post": { "operationId": "runs-sync-dltik-mcp-server-inpi", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/dltik~mcp-server-inpi/run-sync": { "post": { "operationId": "run-sync-dltik-mcp-server-inpi", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "properties": { "mode": { "title": "Mode", "enum": [ "call_tool", "list_tools" ], "type": "string", "description": "list_tools (free, returns the tool catalog) or call_tool (charged $0.01 per call).", "default": "call_tool" }, "tool_name": { "title": "Tool name", "enum": [ "search_company_acts", "get_company_legal", "search_patents", "get_patent", "company_patents", "company_ip_portfolio" ], "type": "string", "description": "Tool to call. Use mode=list_tools to discover every tool and its arguments.", "default": "search_patents" }, "arguments": { "title": "Arguments", "type": "object", "description": "Arguments object for the chosen tool. Run mode=list_tools for the full per-tool schema and examples." } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```