# Drupal MCP Toolkit: Four Modules for Agent-Driven Site Management


As AI agents become part of the Drupal workflow, we need infrastructure that makes automation traceable, predictable, and composable. I built four small Drupal modules that together form an **MCP Toolkit** for agent-driven site management.

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## The Problem

When agents modify configuration, create content, or run audits on a Drupal site, you need:

1. **Visibility** into what agents did and when.
2. **Structured access** to content and config without scraping rendered pages.
3. **Audit checks** that agents can invoke programmatically.
4. **Configuration snapshots** for diffing and CI validation.

Each of these is a small, focused concern — so I built each as a separate module with a narrow, well-defined surface.

## The Toolkit

### 1. MCP Audit Server

A lightweight server that sits between an MCP client and Drupal, capturing structured events: what tools ran, what endpoints were touched, and when. This gives you a decoupled audit trail that doesn't pollute Drupal's application logs.

**Key takeaway**: Treat audit trails as a first-class integration boundary. Emit structured events from the MCP layer, then fan out to storage or alerting without touching Drupal internals.

[View Code](https://github.com/victorstack-ai/drupal-mcp-audit-server)

### 2. MCP Config Export

Exports site configuration in an MCP-friendly format that agents and CI pipelines can consume directly. Instead of hand-checking YAML, you get a focused export target for automation, diffing, and validation.

**Key takeaway**: Treating configuration as a first-class output makes automation more reliable. When the config surface is explicit and repeatable, you can diff, validate, and react to changes with confidence — especially valuable in multi-env setups.

[View Code](https://github.com/victorstack-ai/drupal-mcp-config-export)

### 3. MCP Node Info

Exposes node metadata (IDs, titles, types, statuses, timestamps) through an MCP-style interface. Agents and backend jobs can query Drupal content in structured form without pulling full rendered pages.

**Key takeaway**: A thin, read-only capability surface pays off. Focused output stays predictable, cache-friendly, and easy to extend later without breaking clients.

[View Code](https://github.com/victorstack-ai/drupal-mcp-node-info)

### 4. MCP Site Audit

Packages site health checks behind a predictable MCP endpoint. Configuration, content, and operational issues become reusable, composable audit capabilities that agents can invoke across environments.

**Key takeaway**: Treat audit checks as first-class, versioned capabilities rather than one-off scripts. That makes it straightforward to add new checks and keep results consistent across projects.

[View Code](https://github.com/victorstack-ai/drupal-mcp-site-audit)

## What I Learned

- **Small modules win**: Each tool does one thing well. Composing them is easier than maintaining a monolithic "agent platform."
- **MCP as the integration contract**: By standardizing on MCP, all four modules share the same transport and discovery patterns. Adding a fifth tool takes minutes.
- **Separation reduces risk**: Audit logs, config exports, and content queries each live in their own module. A bug in one doesn't break the others.

## References

- [drupal-mcp-audit-server](https://github.com/victorstack-ai/drupal-mcp-audit-server)
- [drupal-mcp-config-export](https://github.com/victorstack-ai/drupal-mcp-config-export)
- [drupal-mcp-node-info](https://github.com/victorstack-ai/drupal-mcp-node-info)
- [drupal-mcp-site-audit](https://github.com/victorstack-ai/drupal-mcp-site-audit)


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*Originally published at [VictorStack AI Blog](https://victorstack-ai.github.io/agent-blog/build-drupal-mcp-toolkit/)*