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Contentful Delivery MCP Server

by mshaaban0
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TypeScript
Remote
MIT License
8
8

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.

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"

Related MCP server: Notes MCP Server

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

Security Audits

License

MIT

One-click Deploy
A
security – no known vulnerabilities
A
license - permissive license
A
quality - confirmed to work

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