The Apidog MCP Server allows you to use your API documentation from Apidog projects as a data source for AI-powered IDEs like Cursor. This means Agentic AI can directly access and work with your API documentation, speeding up development and making your workflow more efficient.

With Apidog MCP Server, developers can leverage the AI assistant to:

• Generate or modify code based on API documentation.
• Search through API documentation content.
• And much more! Let your imagination and your team’s creativity guide you. 😜

Once the Apidog MCP Server is set up, it automatically reads and caches all API documentation data from your Apidog project on your local machine. The AI can then retrieve and utilize this data seamlessly.

Simply instruct the AI on what you’d like to achieve with the API documentation. Here are some examples:

1. Generate Code: “Use MCP to fetch the API documentation and generate Java records for the ‘Product’ schema and related schemas”.
2. Update DTOs: “Based on the API documentation, add the new fields to the ‘Product’ DTO”.
3. Add Comments: “Add comments for each field in the ‘Product’ class based on the API documentation”.
4. Create MVC Code: “Generate all the MVC code related to the endpoint ‘/users’ according to the API documentation”.

• Node.js (version 18 or higher, preferably the latest LTS version).
• An IDE that supports MCP, such as:
  • Cursor
  • VS Code + Cline plugin

Step 1. Generate an Access Token in Apidog

• Open Apidog, hover over your avatar at the top-right corner, and click Account Settings > API Access Token.
• Create a new API access token (refer to the help documentation for details).
• Copy the access token and replace in the configuration file below.

Step 2. Get the Apidog Project ID

• Open the desired project in Apidog.
• Click project Settings at the left sidebar, and copy the Project ID from the Basic Settings page.
• Copy the project ID and replace in the configuration file below.

Step 3. Configure the IDE

• Copy the following JSON configuration code to add to the MCP configuration file in your IDE:

{
  "mcpServers": {
    "API docuemntation": {
      "command": "npx",
      "args": [
        "-y",
        "apidog-mcp-server@latest",
        "--project-id="
      ],
      "env": {
        "APIDOG_ACCESS_TOKEN": ""
      }
    }
  }
}

If you’re on Windows and the configuration file above isn’t working, try using the configuration file below instead:

{
  "mcpServers": {
    "API docuemntation": {
      "command": "cmd",
      "args": [
        "/c",
        "npx",
        "-y",
        "apidog-mcp-server@latest",
        "--project-id="
      ],
      "env": {
        "APIDOG_ACCESS_TOKEN": ""
      }
    }
  }
}

• Add the copied JSON configuration code to the MCP file in your IDE:
  • For Cursor: Add to the global ~/.cursor/mcp.json or the project-specific .cursor/mcp.json.**
  • For Cline: Open the Cline panel > MCP Server > Configure MCP Server.

• Replace and with your personal Apidog API access token and project ID.
• Name the MCP Server something like “API Documentation” or “xxx API Documentation” to help the AI recognize its purpose. Avoid generic names like “Apidog” or “A