Drupal MCP Server for FlowHunt

What does “Drupal” MCP Server do?

The Drupal MCP Server is a TypeScript-based companion server designed to work with the Drupal MCP module and operates over the STDIO transport protocol. It implements the Model Context Protocol (MCP), enabling AI assistants to connect with Drupal’s extensive content management capabilities and external data sources. This integration empowers developers and AI clients to automate, query, and manage Drupal sites directly through AI-driven workflows. By facilitating tasks such as content retrieval, management actions, and module interactions, it streamlines development processes, enhances productivity, and enables advanced use cases like automated content operations, site auditing, and seamless API integrations. The server is especially useful for teams looking to augment their Drupal workflows with LLM-powered automation and context-aware tooling.

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List of Resources

No explicit MCP resource primitives are documented or described in the available repository files.

List of Tools

No tool definitions are visible in the available repository files, and there is no server.py or equivalent listing of tool APIs.

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Use Cases of this MCP Server

• Automated Content Operations: Streamline content creation, updating, and deletion in Drupal through AI-driven workflows, reducing manual effort for editors and site administrators.
• Site Auditing and Reporting: Enable AI assistants to review, summarize, and report on Drupal site configuration, content status, or user activity, supporting maintenance and compliance.
• Content Query Automation: Allow AI clients to fetch, filter, or analyze Drupal content programmatically, aiding in research, migration, or content optimization tasks.
• Module and Configuration Management: Facilitate automated interactions with Drupal modules and settings, supporting rapid development and deployment scenarios.
• Seamless Integration with External Services: Use the MCP server to bridge Drupal with other APIs or data sources, enabling complex, cross-platform workflows.

How to set it up

Windsurf

1. Ensure you have Node.js and the latest version of the Windsurf editor installed.
2. Locate your Windsurf configuration file (e.g., windsurf.json).
3. Add the Drupal MCP Server to the mcpServers section:

   "mcpServers": {
     "drupal-mcp": {
       "command": "npx",
       "args": ["@drupal/mcp-server@latest"]
     }
   }
   

4. Save the configuration file and restart Windsurf.
5. Verify the server is running by checking the MCP server status panel.

Claude

1. Set up Claude’s local or cloud environment as per its documentation.
2. Edit the Claude configuration file (e.g., claude.json).
3. Add the Drupal MCP Server configuration:

   "mcpServers": {
     "drupal-mcp": {
       "command": "npx",
       "args": ["@drupal/mcp-server@latest"]
     }
   }
   

4. Restart Claude to apply the changes.
5. Confirm connectivity in the integrations panel.

Cursor

1. Install Node.js and ensure Cursor is updated to the latest version.
2. Open the cursor.json configuration file.
3. Insert the following under mcpServers:

   "mcpServers": {
     "drupal-mcp": {
       "command": "npx",
       "args": ["@drupal/mcp-server@latest"]
     }
   }
   

4. Save the file and restart Cursor.
5. Check the MCP server list for “drupal-mcp”.

Cline

1. Prepare your environment with Node.js and Cline installed.
2. Access the cline.json configuration file.
3. Add the Drupal MCP Server:

   "mcpServers": {
     "drupal-mcp": {
       "command": "npx",
       "args": ["@drupal/mcp-server@latest"]
     }
   }
   

4. Save and restart Cline.
5. Ensure the MCP server is available within the Cline UI.

Securing API Keys

Utilize environment variables to securely pass sensitive keys. Example:

"mcpServers": {
  "drupal-mcp": {
    "command": "npx",
    "args": ["@drupal/mcp-server@latest"],
    "env": {
      "API_KEY": "${API_KEY}"
    },
    "inputs": {
      "apiKey": "${API_KEY}"
    }
  }
}

Replace "API_KEY" with your actual environment variable name.

How to use this MCP inside flows

Using MCP in FlowHunt

To integrate MCP servers into your FlowHunt workflow, start by adding the MCP component to your flow and connecting it to your AI agent:

Click on the MCP component to open the configuration panel. In the system MCP configuration section, insert your MCP server details using this JSON format:

{
  "drupal-mcp": {
    "transport": "streamable_http",
    "url": "https://yourmcpserver.example/pathtothemcp/url"
  }
}

Once configured, the AI agent is now able to use this MCP as a tool with access to all its functions and capabilities. Remember to change “drupal-mcp” to whatever the actual name of your MCP server is and replace the URL with your own MCP server URL.

Overview

Based on the above, this MCP server is solid as a foundational integration for Drupal, but lacks visible documentation for advanced MCP features (tools, resources, prompts) in the public files. The provided setup instructions and licensing are clear, but developer-facing features are undocumented. Rating: 4/10 for general readiness and clarity, with room to improve on documentation and feature exposure.

MCP Score