Directus MCP Server

- Go to your Directus instance
- Create a static access token or get your email and password
- Keep these credentials secure

getItems // Get items from a collection getItem // Get a single item from a collection by ID createItem // Create a new item in a collection updateItem // Update an existing item in a collection deleteItem // Delete an item from a collection getCollections // Get all collection schemas getFields // Get fields for a collection getRelations // Get relations for a collection

getFiles // Get files from Directus uploadFile // Upload a file to Directus

login // Login to Directus and get an access token getUsers // Get users from Directus getCurrentUser // Get the current user info getRoles // Get roles from Directus getPermissions // Get permissions from Directus

getSystemInfo // Get system information from Directus getActivity // Get activity logs from Directus getConfig // Get current configuration information

If you want to run the server in development mode:

git clone https://github.com/pixelsock/directus-mcp.git cd directus-mcp npm install

# .env DIRECTUS_URL=https://your-directus-instance.com DIRECTUS_ACCESS_TOKEN=your_token_here # Or use email/password DIRECTUS_EMAIL=your-email@example.com DIRECTUS_PASSWORD=your-password

🌐 HTTP transport (multi-user / remote deployments)

By default the server uses thestdiotransport, which is ideal for single-user local AI editors (Cursor, Claude Desktop, etc.).

You can also pass--transport=httpas a CLI argument instead of setting the environment variable.

# Via environment variable MCP_TRANSPORT=http MCP_PORT=3000 MCP_HOST=0.0.0.0 node dist/index.js # Via CLI argument node dist/index.js --transport=http

docker run -p 3000:3000 \ -e DIRECTUS_URL=https://your-directus-instance.com \ -e DIRECTUS_ACCESS_TOKEN=your_token_here \ -e MCP_TRANSPORT=http \ -e MCP_HOST=0.0.0.0 \ ghcr.io/pixelsock/directus-mcp

Connecting an MCP client to the HTTP server

Once the server is running, configure your MCP client to connect to:

For example with a client that supports the Streamable HTTP transport:

{ "mcpServers": { "directus": { "url": "http://localhost:3000/mcp" } } }

This server enables AI assistants and other MCP clients to interact with Directus instances programmatically.

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