MCP_SERVER_CS

BharathKesav/MCP_SERVER_CS

3.1

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The Contentstack MCP Server is a Model Context Protocol server that integrates with Contentstack's Content Management API, allowing AI assistants to interact with the CMS through a standardized protocol.

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.

contentstack-mcp MCP server

Table of Contents

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:

# Install globally
npm install -g @drossman/contentstack-mcp

# Or use directly via npx
npx @drossman/contentstack-mcp

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:

npx @smithery/cli install contentstack-mcp --client claude

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

Development

Setup for Development

For development, you can use:

npm run dev

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:

CONTENTSTACK_BRANCH=develop

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:

{
   "mcpServers": {
      "contentstack": {
      "command": "npx",
      "args": ["-y", "@drossman/contentstack-mcp"],
      "env": {
         "CONTENTSTACK_API_KEY": "your_api_key_here",
         "CONTENTSTACK_MANAGEMENT_TOKEN": "your_management_token_here",
      }
      }
   }
}

Install with Smithery

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

npx -y @smithery/cli install @drossman/contentstack-mcp --client claude
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.