contentful-mcp

📋 Overview:

This webpage is the GitHub repository for `contentful-mcp`, a Model Context Protocol (MCP) server designed for the Contentful Management API. It provides a set of tools for managing content, spaces, content types, and assets within Contentful, optimized for use with Large Language Models (LLMs).

⭐ Key Points:
* The `contentful-mcp` server facilitates comprehensive content management within Contentful.
* It supports CRUD operations for entries and assets.
* It allows for space and environment management, including creation, updating, and deletion.
* The server also provides tools for managing content type definitions and controlling content publishing workflows.
* Smart pagination is implemented to prevent context window overflow when used with LLMs, limiting list operations to 3 items per request.
* The repository provides an MCP Inspector tool for testing and debugging.

* Configuration is primarily through environment variables, including support for space and environment scoping.

🔍 Main Findings:
* The project is an implementation of an MCP server tailored for Contentful.
* It is designed to be used with tools like Claude Desktop for content management tasks.
* It employs App Identity for handling authentication via configured contentful apps.
* The server prioritizes error handling for authentication, rate limiting, and other common issues.

* The project is licensed under the MIT License.

📊 Details:
* Features: Content Management, Space Management, Content Types, Localization, Publishing, Smart Pagination
* Development Tools: MCP Inspector (inspect, inspect:watch)
* Configuration Prerequisites: Contentful Account and Content Management API token

* Environment Variables: CONTENTFULHOST, CONTENTFULMANAGEMENTACCESSTOKEN, SPACEID, ENVIRONMENTID, app-id, private-key, space-id, environment-id

🎯 Conclusion:
The `contentful-mcp` repository offers a specialized MCP server to enhance Contentful management, particularly in environments leveraging LLMs, by providing essential tools and features optimized for context window limitations and secure operation. The project enables programmatic content management and offers debugging tools to support integration and maintenance.