# MCP Server: BODACC France (M\&A, distress, new businesses) (`dltik/mcp-server-bodacc`) Actor Apify MCP server exposing 6 tools for AI agents: search 4.5M+ French commercial court announcements. Detect insolvency, M\&A, new business creations. No API key. $0.01/call. - **URL**: https://apify.com/dltik/mcp-server-bodacc.md - **Developed by:** [dltik](https://apify.com/dltik) (community) - **Categories:** AI, Business, Lead generation - **Stats:** 3 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 ## BODACC MCP Server — 4.5M French Court Announcements for AI Agents (M&A, Distress, New Businesses) > Apify-hosted **BODACC MCP server** giving AI agents access to 4.5 million French commercial court announcements — new business creations, M&A, executive changes, insolvency procedures, liquidations. Backed by the free official `bodacc-datadila.opendatasoft.com` open data. No API key, no proxy. **$0.01 per tool call**. ⭐ **Bookmark this BODACC MCP Server** — Apify ranks actors by bookmarks, so it directly helps the visibility of this server on the Apify Store. ### What is the BODACC MCP Server? The **BODACC MCP Server** is an Apify actor implementing the [Model Context Protocol](https://modelcontextprotocol.io/) for the [BODACC — Bulletin Officiel des Annonces Civiles et Commerciales](https://www.bodacc.fr/). BODACC is the official French commercial court bulletin, where every business creation, sale, M&A, executive change, or insolvency procedure is published by law. This MCP server exposes 6 tools to query 4.5M+ announcements via natural-language commands from your AI agent. Wire it into Claude Desktop, Cursor, or Continue.dev to give your agent live signal on the French business landscape — from new SaaS founders to companies in distress. ### Use cases - **Distress / restructuring agents** — detect "procédure collective" filings the day they're published. - **Lead-gen for B2B SaaS** — every new company creation is a fresh prospect; filter by city or NAF code. - **M&A intelligence bots** — track "Ventes et cessions" announcements to monitor French M&A activity. - **Commercial real-estate agents** — liquidations free up storefronts; this MCP server surfaces them daily. - **Executive moves tracker** — monitor "Modifications dirigeants" for a target sector. ### Tools available | Tool | What it returns | | --- | --- | | `search_announcements(query, family, days, limit)` | Free-text search with date + family filter | | `announcements_by_siren(siren, limit)` | All BODACC events for one company | | `companies_in_distress(days, department, limit)` | "Procédures collectives" — insolvency filings | | `new_businesses(days, department, limit)` | "Créations" — new business registrations | | `mergers_acquisitions(days, limit)` | "Ventes et cessions" — M&A and sale announcements | | `announcements_by_filter(...)` | Generic filter — any field, any combination | | `list_tools` | Free — schema discovery | ### Input ```json { "mode": "call_tool", "tool_name": "companies_in_distress", "arguments": { "days": 7, "department": "75", "limit": 25 } } ```` ### Output ```json { "id": "A2026B12345", "date": "2026-04-29", "type": "Avis initial", "family": "Procédures collectives", "company_or_person": "EXAMPLE SARL", "siren": "123456789", "department": "75", "department_name": "Paris", "details": "Ouverture d'une procédure de redressement judiciaire..." } ``` ### Pricing **PAY\_PER\_EVENT — $0.01 per tool call** (= $10 per 1,000). The `list_tools` discovery call is free. No charge on errors. ### FAQ **What's the latency on new BODACC entries?** BODACC is published daily (working days). Announcements typically appear in the open data feed within 24-48h of publication. **Why MCP for BODACC?** A regular scraper gives you raw rows. An MCP server lets your AI agent ask `companies_in_distress in 75 over the last 7 days, group by NAF code` and chain queries. For one-shot bulk extraction without MCP, build your own with the [Pappers / Sirene Scraper](https://apify.com/dltik/pappers-sirene-scraper) for SIREN-keyed enrichment. **Can I cross-reference SIREN with company details?** Yes — chain a BODACC `announcements_by_siren` call with the [Pappers MCP Server](https://apify.com/dltik/mcp-server-pappers) `get_company` tool. Two MCP servers, one agent. *** ⭐ **Found this useful? Bookmark this BODACC MCP Server** — it's the strongest signal for Apify Store ranking. #### Related actors - [Pappers MCP Server](https://apify.com/dltik/mcp-server-pappers) — 26M French companies (SIREN/SIRET, dirigeants, NAF) - [Pappers / Sirene Scraper](https://apify.com/dltik/pappers-sirene-scraper) — non-MCP bulk batch version - [SEC EDGAR MCP Server](https://apify.com/dltik/mcp-server-sec-edgar) — same pattern for US public companies License: MIT · Author: [dltik](https://apify.com/dltik) # Actor input Schema ## `mode` (type: `string`): list\_tools (free, returns tool catalog) or call\_tool (charged $0.01 per call). ## `tool_name` (type: `string`): Tool to invoke. Use mode=list\_tools to discover available tools. ## `arguments` (type: `object`): Arguments for the chosen tool. See list\_tools mode for full schema. ## Actor input object example ```json { "mode": "call_tool", "tool_name": "search_announcements", "arguments": { "query": "Decathlon", "limit": 10 } } ``` # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "arguments": { "query": "Decathlon", "limit": 10 } }; // Run the Actor and wait for it to finish const run = await client.actor("dltik/mcp-server-bodacc").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${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": "Decathlon", "limit": 10, } } # Run the Actor and wait for it to finish run = client.actor("dltik/mcp-server-bodacc").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": "Decathlon", "limit": 10 } }' | apify call dltik/mcp-server-bodacc --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=dltik/mcp-server-bodacc", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "MCP Server: BODACC France (M&A, distress, new businesses)", "description": "Apify MCP server exposing 6 tools for AI agents: search 4.5M+ French commercial court announcements. Detect insolvency, M&A, new business creations. No API key. $0.01/call.", "version": "1.0", "x-build-id": "mvwWcZxcErH0FGUkM" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/dltik~mcp-server-bodacc/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-dltik-mcp-server-bodacc", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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-bodacc/runs": { "post": { "operationId": "runs-sync-dltik-mcp-server-bodacc", "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-bodacc/run-sync": { "post": { "operationId": "run-sync-dltik-mcp-server-bodacc", "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 tool catalog) or call_tool (charged $0.01 per call).", "default": "call_tool" }, "tool_name": { "title": "Tool name", "enum": [ "search_announcements", "announcements_by_siren", "companies_in_distress", "new_businesses", "mergers_acquisitions", "announcements_by_filter" ], "type": "string", "description": "Tool to invoke. Use mode=list_tools to discover available tools.", "default": "search_announcements" }, "arguments": { "title": "Arguments", "type": "object", "description": "Arguments for the chosen tool. See list_tools mode for full schema." } } }, "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 } } } } } } } } } } ```