Contentful Delivery MCP Server

A Model Context Protocol (MCP) server that provides seamless access to Contentful's Delivery API through AI assistants. Query and retrieve content entries, assets, and content types using natural language.

<a href="https://glama.ai/mcp/servers/v84ui258n5"> <img width="380" height="200" src="https://glama.ai/mcp/servers/v84ui258n5/badge" alt="Contentful Delivery Server MCP server" /> </a>

Quick Start

Install the package in your project:

npm install @mshaaban0/contentful-delivery-mcp-server

Or globally:

npm install -g @mshaaban0/contentful-delivery-mcp-server

Set up your Contentful credentials:

export CONTENTFUL_SPACE_ID="your_space_id"
export CONTENTFUL_ACCESS_TOKEN="your_access_token"
# Optional: Restrict content to specific content types
export CONTENTFUL_CONTENT_TYPE_IDS="blogPost,article,product"

Features

• Natural language queries to search content
• Retrieve entries by ID or content type
• Asset management
• Content type schema access
• Pagination support
• Rich text content handling

Available Tools

• query_entries - Natural language search across all content
• get_entry - Fetch specific entry by ID
• get_entries - List entries with filtering
• get_assets - Browse all assets
• get_asset - Get asset details by ID
• get_content_type - View content type schema
• get_content_types - List available content types

Integration with Mastra AI

Mastra AI provides seamless integration with this MCP server. Here's how to set it up:

import { MastraMCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";

// Initialize the MCP client
const contentfulClient = new MastraMCPClient({
  name: "contentful-delivery",
  server: {
    command: "npx",
    args: ["-y", "@mshaaban0/contentful-delivery-mcp-server@latest"],
    env: {
      CONTENTFUL_ACCESS_TOKEN: "your_access_token",
      CONTENTFUL_SPACE_ID: "your_space_id",
      // Optional: Restrict content to specific content types
      CONTENTFUL_CONTENT_TYPE_IDS: "blogPost,article,product"
    }
  }
});

// Create an AI agent with access to Contentful
const assistant = new Agent({
  name: "Content Assistant",
  instructions: `
    You are a helpful assistant with access to our content database.
    Use the available tools to find and provide accurate information.
  `,
  model: "gpt-4",
});

// Connect and register tools
await contentfulClient.connect();
const tools = await contentfulClient.tools();
assistant.__setTools(tools);

// Example usage
const response = await assistant.chat("Find articles about machine learning");

Development

# Clone the repo
git clone https://github.com/mshaaban0/contentful-delivery-mcp-server.git

# Install dependencies
npm install

# Build
npm run build

# Development with auto-rebuild
npm run watch

# Run the inspector
npm run inspector

Debugging

The MCP Inspector provides a web interface for debugging:

npm run inspector

Visit the provided URL to access the debugging tools.

Resources

• Mastra AI Documentation
• Contentful API Reference
• MCP Specification

Security Audits

License

MIT