Bitrix24 MCP Server

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This project is a Model Context Protocol (MCP) server for integrating AI assistants (like Anthropic's Claude) with your Bitrix24 portal. The server enables Large Language Models to directly retrieve data, manage CRM entities, tasks, and knowledge bases through a standardized API.

Features (Tools)

The server provides AI with the following tools:

• CRM: Deals (read, list), Contacts (read, list).

• Tasks: Read tasks, list, create, update, close, add comments.

• Scrum: View epics and bind tasks to epics.

• Knowledge Base (2.0): Read knowledge bases, view structure, create, edit, and retrieve pages in Markdown format.

• Company Structure: Retrieve information about the current user.

Related MCP server: Bitrix24 MCP Server

Requirements

• Node.js >= 22 (or Docker)

• Administrator rights in your Bitrix24 portal (to create the integration)

• Anthropic Claude Desktop (or another MCP-compatible client)

Installation and Setup

Step 1. Create a Local Application in Bitrix24

For the server to communicate with your portal, you need to create an integration.

1. In the left menu of Bitrix24, go to Applications -> Developer resources -> Other -> Local application.

2. Check the "Uses API" box.

3. Mandatory: Add the following permissions (scopes):

   • crm (CRM)

   • task (Tasks)

   • tasks_extended (Extended Tasks)

   • note (Knowledge Base 2.0)

   • user (Users)

4. For the Initial installation path and Webhook URL, you can specify your future server domain or simply https://localhost:3000.

5. Save the application and write down the Application Code (Client ID) and Application Key (Client Secret).

Step 2. Server Setup

Clone the repository and install dependencies:

git clone https://github.com/yourusername/bitrix24-mcp-server.git
cd bitrix24-mcp-server
npm install

Create a .env file in the project root (or copy .env.example) and fill in the details:

PORT=3000
BITRIX24_CLIENT_ID=your_client_id
BITRIX24_CLIENT_SECRET=your_client_secret
BITRIX24_PORTAL_URL=https://yourcompany.bitrix24.com

Step 3. Running the Server

You can run the server in two ways:

Option A: Using Node.js

npm run build
npm start

For background execution on a server, we recommend using pm2:

pm2 start dist/index.js --name bitrix24-mcp-server

Option B: Using Docker

docker-compose up -d

The server will start on port 3000 and will be ready to accept SSE connections.

Step 4. Configuring Claude Desktop (Client)

If you are running this server remotely (e.g., on a VPS) and want to connect it to your local Claude Desktop app, you will need to forward the port or set up an Nginx Reverse Proxy.

In your Claude configuration file (claude_desktop_config.json on MacOS: ~/Library/Application Support/Claude/claude_desktop_config.json), add the following:

{
  "mcpServers": {
    "bitrix24": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/inspector",
        "http://your-server-address:3000/sse"
      ]
    }
  }
}

Note: This example uses the built-in inspector if you want to connect via HTTP SSE. If running the server locally, you can use command: "node", args: ["/path/to/bitrix24-mcp-server/dist/index.js"] (if the server supports stdio transport).

License

MIT