This MCP server, developed by ivo-toby, integrates with Contentful's Content Management API to enable AI assistants to manage content across spaces and environments. It provides tools for CRUD operations on entries and assets, content type management, localization support, and publishing workflows. The implementation offers a visual inspector for debugging and testing. By connecting AI capabilities with Contentful's headless CMS, this server empowers AI systems to handle complex content management tasks. It is particularly useful for applications in content creation, website management, or any scenario where an AI assistant needs to work with structured content in a headless CMS.
Search for entries using query parameters.
Create new entries.
Retrieve existing entries.
Update entry fields.
Remove entries.
Publish entries.
Unpublish entries.
Publish multiple entries and assets in a single operation. Accepts an array of entities (entries and assets) and processes their publication as a batch.
Unpublish multiple entries and assets in a single operation. Similar to bulk_publish but removes content from the delivery API.
Validate multiple entries for content consistency, references, and required fields. Returns validation results without modifying content.
List assets with pagination (3 items per page).
Upload new assets with metadata.
Retrieve asset details and information.
Update asset metadata and files.
Remove assets from space.
Publish assets to delivery API.
Unpublish assets from delivery API.
List available spaces.
Get space details.
List environments in a space.
Create new environment.
Remove environment.
List available content types.
Get content type details.
Create new content type.
Update content type.
Remove content type.
Publish a content type.
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Highlight AIStart the server with node to access it via any client or IDE.
node path/to/downloaded/file.mjs