contentstack-mcp

Contentstack MCP Server

This Model Context Protocol (MCP) server integrates with Contentstack's Content Management API, enabling AI assistants like Claude to interact with your Contentstack CMS through a standardized protocol.

Note: This is an early version of Contentstack MCP Server. See the Roadmap for upcoming improvements and planned features.

Table of Contents

• Features
• Installation
• Development
• Configuration
• Integration with AI Assistants
• Usage Examples
• Roadmap
• License

Features

Available Resources

• content-types: List all content types (URI: contentstack://content-types)
• content-type: Get content type by UID (URI: contentstack://content-type/{uid})
• entries: Get entries by content type (URI: contentstack://entries/{content_type_uid})
• entry: Get specific entry (URI: contentstack://entry/{content_type_uid}/{entry_uid})
• assets: List all assets (URI: contentstack://assets)

Content Type Management

• Create, update, and delete content types
• Define schemas, options, field rules, and taxonomies
• Manage global fields

Entry Management

• Create, update, and delete entries
• Publish and unpublish entries across environments
• Query entries with filtering, pagination, and sorting options

Global Field Management

• Create and update global fields for reuse across content types
• Retrieve global fields with pagination options

Content Workflows

• Guided content creation workflows
• Content analysis and insights
• Migration planning assistance

Installation

Prerequisites

• Node.js (v16.0.0 or higher)
• A Contentstack account
• API credentials (API Key and Management Token)

NPM Installation

The easiest way to use this MCP server is via NPM:

Manual Installation

1. Clone the repository:
   git clone https://github.com/darekrossman/contentstack-mcp.git cd contentstack-mcp
2. Install dependencies:
   npm install
3. Set up environment variables:
   cp .env.example .env
   Edit the .env file with your Contentstack credentials:
   CONTENTSTACK_API_KEY=your_api_key_here CONTENTSTACK_MANAGEMENT_TOKEN=your_management_token_here # Optional: Specify branch if using branches CONTENTSTACK_BRANCH=your_branch_name
4. Build and start the server:
   npm run build npm start

Installation via Smithery CLI

You can also install this MCP server using the Smithery CLI:

See the Smithery CLI documentation for more details and advanced usage.

Development

Setup for Development

For development, you can use:

This starts the server using ts-node for a faster development cycle.

Code Quality

This project uses Biome.js for linting and formatting. It provides a consistent code style and helps catch potential issues early.

Available Commands

• Lint Code:
  npm run lint
• Lint and Fix:
  npm run lint:fix
• Format Code:
  npm run format
• Format and Fix:
  npm run format:fix

Configuration

Authentication

This server requires authentication with Contentstack's API:

Management Token (Required):

• Stack-level token with predefined permissions
• Set via CONTENTSTACK_MANAGEMENT_TOKEN environment variable
• Generate from Contentstack dashboard: Settings > Tokens > Management Tokens

API Key (Required):

• Stack API key for authentication
• Set via CONTENTSTACK_API_KEY environment variable

Branch Support

If your Contentstack account uses branches, you can specify a branch:

Integration with AI Assistants

Claude for Desktop

To use this server with Claude for Desktop:

1. Edit your Claude for Desktop configuration file:
   • Mac: ~/Library/Application Support/Claude/claude_desktop_config.json
   • Windows: %APPDATA%\Claude\claude_desktop_config.json
2. Add this server to the mcpServers section:
   { "mcpServers": { "contentstack": { "command": "npx", "args": ["-y", "@drossman/contentstack-mcp"], "env": { "CONTENTSTACK_API_KEY": "your_api_key_here", "CONTENTSTACK_MANAGEMENT_TOKEN": "your_management_token_here" } } } }
3. Restart Claude for Desktop

Cursor

To use this server with Cursor, add the Contentstack MCP server configuration:

Install with Smithery

You can also install this MCP server using the Smithery CLI using your client of choice:

Available clients include:

• claude
• cline
• windsurf
• roocode
• witsy
• enconvo
• cursor
• vscode
• vscode-insiders
• boltai
• amazon-bedrock
• amazonq

See the Smithery CLI documentation for more details and advanced usage.

Roadmap

• Enhanced AI Contextual Understanding: Improve context provisioning for complex queries
• Advanced Querying & Filtering: Support filtering by multiple criteria and custom fields
• Workflow & Publishing Automation: Enable AI-driven content workflow actions
• Asset Management Enhancements: Add direct asset manipulation capabilities
• Bulk Operations Support: Implement batch operations for entries and assets
• Improved Error Handling & AI Feedback: Refine error messages for AI consumption
• User-Specific Context & Permissions: Tailor actions based on user permissions
• Extensibility for Custom Tools: Create an extension framework
• Real-time Event Handling: Add webhook support for reactive AI behaviors
• Comprehensive Documentation: Develop detailed guides for AI interaction

Shoutout

Special thanks to Ivo Toby. This project and its author are heavily inspired by his work in this space.

License

MIT

Disclaimer: This project is not affiliated with, endorsed by, or supported by Contentstack. It is an independent open-source project designed to work with the Contentstack API.