Drupal MCP Server

Overview

The Drupal MCP Server is a TypeScript‑based companion that bridges the Drupal MCP module with AI assistants through the Model Context Protocol (MCP). It resolves a common pain point for developers: enabling AI agents to interact with a Drupal site’s data and functionality without exposing the full HTTP API or handling authentication manually. By running as an MCP server over STDIO, it can be launched from a Docker container, compiled binary, or JSR package, making it adaptable to CI/CD pipelines, local development environments, and production deployments.

What the Server Does

When initialized, the server queries the Drupal backend to discover available resources (such as content types and views) and tools (operations like node creation or taxonomy term manipulation). These instruments are then exposed to the AI client as a set of read and call endpoints. The server handles authentication transparently, supporting either bearer tokens or basic auth credentials via environment variables. This ensures that the AI assistant can perform authenticated actions on the Drupal site without embedding secrets in prompts or code.

Key Features

• Dynamic Instrument Discovery – Automatically reflects the current Drupal API, so any new content type or custom tool added to the site becomes immediately available to the AI.
• Secure Authentication – Supports token‑based and basic auth, with priority logic that prefers tokens when both are supplied.
• STDIO Transport Compatibility – Works seamlessly with the standard MCP STDIO transport, enabling integration in environments where SSE is not available.
• Signed Binaries & Images – All releases are cosign‑signed, allowing developers to verify integrity and provenance before deployment.
• Developer Friendly – Built on Deno, the server can be developed locally with hot‑reload and debugged using the MCP Inspector tool.

Use Cases

• Content Automation – An AI assistant can draft, approve, and publish articles directly into Drupal, reducing editorial workflow time.
• Data Retrieval – Quickly fetch structured data (e.g., user profiles, taxonomy trees) for reporting or analytics within an AI‑driven dashboard.
• Custom Tool Invocation – Trigger bespoke Drupal services (e.g., custom REST endpoints) from natural language commands, enabling sophisticated conversational interfaces.
• Testing & QA – Use the server to simulate user interactions with Drupal during automated AI testing cycles, ensuring that content updates behave as expected.

Integration into AI Workflows

Developers can configure their MCP‑enabled assistant to point to the Drupal server in its configuration. Once connected, the AI can reference the exposed resources and tools in prompts, automatically handling authentication and data serialization. This tight coupling allows for fluid, context‑aware conversations where the assistant can read from or write to Drupal without additional plumbing.

Unique Advantages

Unlike generic HTTP adapters, the Drupal MCP Server fully understands Drupal’s data model and permission system. It translates high‑level AI commands into precise API calls, reducing the cognitive load on developers and ensuring that only authorized actions are performed. Its lightweight STDIO implementation keeps resource usage minimal, making it ideal for serverless or edge deployments where startup time and footprint matter.