Directus MCP Server

Directus MCP Server

Enables comprehensive interaction with Directus CMS including collection management, file operations, flow automation, user management, and schema analysis through natural language commands.

Category
Visit Server

README

@staminna/directus-mcp-server

Enhanced MCP (Model Context Protocol) server for Directus with TypeScript, WebSocket support, and full API coverage.

npm version License: MIT

Features

  • 🔐 Full Authentication - Token-based authentication with Directus
  • 📦 Collection Management - CRUD operations for collections and items
  • 📁 File Operations - Upload, download, and manage files
  • 🔄 Flow Management - Create, update, trigger, and manage Directus Flows
  • 👥 User Management - User CRUD and role management
  • 🔍 Schema Tools - Analyze and validate collection schemas
  • 🩺 Diagnostics - Collection access diagnostics and troubleshooting
  • WebSocket Support - Real-time subscriptions (coming soon)

Installation

Via npm (Recommended)

npm install -g @staminna/directus-mcp-server

From Source

git clone https://github.com/staminna/mcp-server-claude.git
cd mcp-server-claude
npm install
npm run build

Environment Variables

Variable Required Description
DIRECTUS_URL Yes Your Directus instance URL (e.g., http://localhost:8065)
DIRECTUS_TOKEN Yes Static API token with appropriate permissions
DIRECTUS_PROMPTS_COLLECTION_ENABLED No Enable AI prompts collection (true/false)
DIRECTUS_PROMPTS_COLLECTION No Collection name for AI prompts (default: ai_prompts)
DIRECTUS_RESOURCES_ENABLED No Enable resources feature (true/false)
DIRECTUS_RESOURCES_EXCLUDE_SYSTEM No Exclude system collections from resources (true/false)
NODE_ENV No Environment mode (development/production)

IDE Configuration

🟣 Cursor

  1. Open Cursor Settings: Cmd+, (macOS) or Ctrl+, (Windows/Linux)
  2. Search for "MCP" or navigate to Features → MCP Servers
  3. Click "Edit in settings.json"
  4. Add the following configuration:
{
  "mcpServers": {
    "directus": {
      "command": "npx",
      "args": [
        "-y",
        "@staminna/directus-mcp-server"
      ],
      "env": {
        "DIRECTUS_URL": "http://localhost:8065",
        "DIRECTUS_TOKEN": "your-directus-token-here"
      }
    }
  }
}

Or if installed locally:

{
  "mcpServers": {
    "directus": {
      "command": "node",
      "args": [
        "/path/to/mcp-server-claude/dist/index.js"
      ],
      "env": {
        "DIRECTUS_URL": "http://localhost:8065",
        "DIRECTUS_TOKEN": "your-directus-token-here"
      }
    }
  }
}
  1. Save the file and restart Cursor

🌊 Windsurf

  1. Open Windsurf Settings: Cmd+, (macOS) or Ctrl+, (Windows/Linux)
  2. Search for "MCP Servers"
  3. Click "Edit in settings.json"
  4. Add the following configuration:
{
  "mcpServers": {
    "directus": {
      "command": "npx",
      "args": [
        "-y",
        "@staminna/directus-mcp-server"
      ],
      "env": {
        "DIRECTUS_URL": "http://localhost:8065",
        "DIRECTUS_TOKEN": "your-directus-token-here",
        "DIRECTUS_PROMPTS_COLLECTION_ENABLED": "true",
        "DIRECTUS_PROMPTS_COLLECTION": "ai_prompts",
        "DIRECTUS_RESOURCES_ENABLED": "true",
        "DIRECTUS_RESOURCES_EXCLUDE_SYSTEM": "true",
        "NODE_ENV": "production"
      }
    }
  }
}

Or if installed locally:

{
  "mcpServers": {
    "directus": {
      "command": "node",
      "args": [
        "/path/to/mcp-server-claude/dist/index.js"
      ],
      "env": {
        "DIRECTUS_URL": "http://localhost:8065",
        "DIRECTUS_TOKEN": "your-directus-token-here"
      }
    }
  }
}
  1. Save the file
  2. Quit Windsurf completely (Cmd+Q or Ctrl+Q)
  3. Reopen Windsurf and wait ~10 seconds for MCP to initialize

🤖 Claude Desktop

  1. Locate your Claude Desktop config file:

    • macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
    • Windows: %APPDATA%\Claude\claude_desktop_config.json
    • Linux: ~/.config/Claude/claude_desktop_config.json
  2. Create or edit the config file:

{
  "mcpServers": {
    "directus": {
      "command": "npx",
      "args": [
        "-y",
        "@staminna/directus-mcp-server"
      ],
      "env": {
        "DIRECTUS_URL": "http://localhost:8065",
        "DIRECTUS_TOKEN": "your-directus-token-here"
      }
    }
  }
}

Or if installed locally:

{
  "mcpServers": {
    "directus": {
      "command": "node",
      "args": [
        "/path/to/mcp-server-claude/dist/index.js"
      ],
      "env": {
        "DIRECTUS_URL": "http://localhost:8065",
        "DIRECTUS_TOKEN": "your-directus-token-here"
      }
    }
  }
}
  1. Save the file and restart Claude Desktop

🔮 Claude.ai (Web with MCP)

For Claude.ai web interface with MCP support:

  1. Navigate to Claude.ai settings
  2. Find the MCP configuration section
  3. Add a new MCP server with:
{
  "name": "directus",
  "command": "npx",
  "args": ["-y", "@staminna/directus-mcp-server"],
  "env": {
    "DIRECTUS_URL": "http://localhost:8065",
    "DIRECTUS_TOKEN": "your-directus-token-here"
  }
}

Note: Claude.ai MCP support may require a Pro subscription and specific browser extensions.


Available Tools

Collection Management

Tool Description
list_collections List all collections in Directus
get_collection_schema Get schema for a specific collection
get_collection_items Get items from a collection with filtering
create_collection Create a new collection
create_item Create a new item in a collection
update_item Update an existing item
delete_items Delete items from a collection
bulk_operations Execute bulk create, update, delete

Schema & Fields

Tool Description
create_field Create a new field in a collection
update_field Update an existing field
delete_field Delete a field from a collection
create_relationship Create relationships (O2O, O2M, M2O, M2M, M2A)
analyze_collection_schema Analyze schema with relationship mapping
validate_collection_schema Validate schema and relationships
analyze_relationships Analyze relationships across collections

Flow Management

Tool Description
get_flows Get all flows with optional filtering
get_flow Get a specific flow by ID
create_flow Create a new automation flow
update_flow Update an existing flow
delete_flow Delete a flow
trigger_flow Manually trigger a flow
get_operations Get flow operations

User Management

Tool Description
get_users Get all users with filtering
get_user Get a specific user by ID

File Management

Tool Description
get_files Get files with filtering and pagination

Diagnostics

Tool Description
diagnose_collection_access Diagnose collection access issues
refresh_collection_cache Refresh collection cache
validate_collection_creation Validate newly created collections

Usage Examples

Once configured, you can interact with Directus through your AI assistant:

"List all collections in my Directus instance"

"Create a new collection called 'blog_posts' with title, content, and published fields"

"Get all items from the 'products' collection where status is 'published'"

"Create a new flow that triggers on item creation in the 'orders' collection"

"Analyze the schema of the 'users' collection including relationships"

Troubleshooting

MCP Server Not Connecting

  1. Verify Directus is running: Ensure your Directus instance is accessible at the configured URL
  2. Check token permissions: The API token needs appropriate permissions for the operations you want to perform
  3. Restart IDE: After changing MCP configuration, fully restart your IDE
  4. Check logs: Look for MCP-related errors in your IDE's developer console

Permission Errors

Ensure your Directus token has the required permissions:

  • Admin token for full access
  • Or configure specific role permissions for collections you need to access

Connection Timeout

If using a remote Directus instance:

  • Verify the URL is correct and accessible
  • Check firewall/network settings
  • Ensure CORS is properly configured on Directus

Development

# Install dependencies
npm install

# Build
npm run build

# Watch mode
npm run dev

# Run server
npm start

# Type check
npm run typecheck

# Lint
npm run lint

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

  1. Fork the repository
  2. Create your feature branch (git checkout -b feature/amazing-feature)
  3. Commit your changes (git commit -m 'Add some amazing feature')
  4. Push to the branch (git push origin feature/amazing-feature)
  5. Open a Pull Request

License

MIT © Jorge Domingues Nunes


Links

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured