contentful-mcpThis server connects AI assistants to your Contentful workspace so you can manage posts, upload media, and organize comments using plain language. You simply describe what you need done and let the AI
Overview
Key features
- Full CRUD operations for entries and assets
- Comment management with support for plain-text and rich-text formats
- Space and environment management
- Content type definitions
- Localization support
- Publishing workflow control
Pricing
- Model
- Free
- Category
- MCP Servers
- Rating
- No reviews yet
Use cases
Content Creation
Use the Contentful MCP Server to create and manage content using plain language, streamlining the content creation process for users.
Bulk Content Updates
Leverage the bulk operations feature to efficiently update multiple content items simultaneously, ideal for content migrations or mass updates.
Pros & Cons
Pros
- Comprehensive content management capabilities
- Support for plain language management of posts, media, and comments
- Efficient bulk operations for multiple content items
- Smart pagination for handling large datasets
Cons
- Requires setup and configuration
- Limited to 3 items per request for list operations
Reviews
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Q&A
What setup is required to use the MCP server with my Contentful workspace?
You need to configure the server with your Contentful API credentials and deploy it (e.g., via Claude Desktop or locally). After setup, AI assistants can connect and perform full CRUD, comment, space, and localization tasks through plain‑language commands.
Asked by Liam O’Connor · Jul 5, 2025
Can I perform bulk actions like publishing multiple entries at once?
Yes. The server supports bulk operations that run asynchronously, allowing you to publish, unpublish, or validate many entries or assets in a single API call and receive status updates to track progress.
Asked by Hannah Goldberg · May 14, 2025
How does Contentful MCP handle large lists of entries or assets?
List operations return a maximum of 3 items per request with built‑in pagination details (total, current page, remaining items, and a skip value). This smart pagination prevents LLM context overflow while letting the AI request subsequent pages as needed.
Asked by Jamal Carter · Apr 22, 2025
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