productivity

Contentful (Official)

by contentful

Official Contentful integration for advanced content management software, automating full content lifecycle via Contentf

Official Contentful integration that enables full content lifecycle management including entries, content types, assets, environments, locales, tags, and automated content generation through Contentful's Content Management API with bulk operations and intelligent response handling.

github stars

46

Official Contentful integrationSupports full content lifecycleBulk operations supported

best for

  • / Content managers maintaining Contentful spaces
  • / Marketing teams creating and updating campaigns
  • / Developers building content-driven applications
  • / Teams needing bulk content operations

capabilities

  • / Create and edit content entries
  • / Manage content types and fields
  • / Upload and organize assets
  • / Handle multilingual content and locales
  • / Perform bulk content operations
  • / Automate publishing workflows

what it does

Official Contentful integration that lets you manage content, assets, and workflows in Contentful spaces through natural language commands. Supports full content lifecycle operations including creation, editing, publishing, and bulk operations.

about

Contentful (Official) is an official MCP server published by contentful that provides AI assistants with tools and capabilities via the Model Context Protocol. Official Contentful integration for advanced content management software, automating full content lifecycle via Contentf It is categorized under productivity.

how to install

You can install Contentful (Official) in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.

license

MIT

Contentful (Official) is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.

readme

Contentful MCP Server

A Model Context Protocol (MCP) server that provides AI assistants with comprehensive tools to interact with Contentful APIs.

🚀 Example Use Cases

This MCP server provides a comprehensive set of tools for content management, allowing AI to help you create, edit, organize, and publish content directly within Contentful. Once configured, you can use natural language in your AI assistant of choice to manage and interact with your Contentful spaces, including:

  • Content Creation: "Create a new blog post for our fall product launch"
  • Content Management: "Update all product entries to include the new pricing structure"
  • Asset Organization: "Upload and organize these marketing images by campaign"
  • Workflow Automation: "Create an AI action that translates content to Spanish"
  • Content Modeling: "Add a new field to the product content type for customer ratings"

📓 Table of Contents

⚙️ Getting started

Prerequisites

Installation

One-Click install

Install MCP Server

Note: This requires Cursor to be installed. If the link doesn't work, try the manual installation below.

Claude Desktop:

Download the .dxt configuration file here from the latest release and import it into Claude Desktop to automatically configure the MCP server with your environment variables.

Codex:

codex mcp add contentful --env CONTENTFUL_MANAGEMENT_ACCESS_TOKEN="your-CMA-token" --env SPACE_ID="your-space-id" --env ENVIRONMENT_ID="master" --env CONTENTFUL_HOST="api.contentful.com" -- npx -y @contentful/mcp-server

Install from source

git clone https://github.com/contentful/contentful-mcp-server.git
cd contentful-mcp-server
npm install
npm run build

Environment Variables

Environment VariableRequiredDefault ValueDescription
CONTENTFUL_MANAGEMENT_ACCESS_TOKEN✅ Yes-Your Contentful Management API personal access token
SPACE_ID✅ Yes-Your Contentful Space ID
ENVIRONMENT_ID❌ NomasterTarget environment within your space
CONTENTFUL_HOST❌ Noapi.contentful.comContentful API host
NODE_ENV❌ NoproductionNode Environment to run in

Configuration

Refer to the documentation for your AI tool of choice for how to configure MCP servers. For example, see the documentation for Codex, Cursor, VS Code, or Claude Desktop.

Below is a sample configuration:

{
  "mcpServers": {
    "contentful-mcp": {
      "command": "npx",
      "args": ["-y", "@contentful/mcp-server"],
      "env": {
        "CONTENTFUL_MANAGEMENT_ACCESS_TOKEN": "your-CMA-token",
        "SPACE_ID": "your-space-id",
        "ENVIRONMENT_ID": "master",
        "CONTENTFUL_HOST": "api.contentful.com"
      }
    }
  }
}

🛠️ Available Tools

CategoryTool NameDescription
Context & Setupget_initial_contextInitialize connection and get usage instructions
Content Typeslist_content_typesList all content types
get_content_typeGet detailed content type information
create_content_typeCreate new content types
update_content_typeModify existing content types
publish_content_typePublish content type changes
unpublish_content_typeUnpublish content types
delete_content_typeRemove content types
Entriessearch_entriesSearch and filter entries
get_entryRetrieve specific entries
create_entryCreate new content entries
update_entryModify existing entries
publish_entryPublish entries (single or bulk)
unpublish_entryUnpublish entries (single or bulk)
delete_entryRemove entries
Assetsupload_assetUpload new assets
list_assetsList and browse assets
get_assetRetrieve specific assets
update_assetModify asset metadata
publish_assetPublish assets (single or bulk)
unpublish_assetUnpublish assets (single or bulk)
delete_assetRemove assets
Spaces & Environmentslist_spacesList available spaces
get_spaceGet space details
list_environmentsList environments
create_environmentCreate new environments
delete_environmentRemove environments
Localeslist_localesList all locales in your environment
get_localeRetrieve specific locale information
create_localeCreate new locales for multi-language content
update_localeModify existing locale settings
delete_localeRemove locales from environment
Tagslist_tagsList all tags
create_tagCreate new tags
AI Actionscreate_ai_actionCreate custom AI-powered workflows
invoke_ai_actionInvoke an AI action with variables
get_ai_action_invocationGet AI action invocation details
get_ai_actionRetrieve AI action details and configuration
list_ai_actionsList AI actions in a space
update_ai_actionUpdate existing AI actions
publish_ai_actionPublish AI actions for use
unpublish_ai_actionUnpublish AI actions
delete_ai_actionRemove AI actions

🤝 Contributing

We welcome contributions! Please see our Contributing Guide for local development setup and contribution guide


FAQ

What is the Contentful (Official) MCP server?
Contentful (Official) is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
How do MCP servers relate to agent skills?
Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
How are reviews shown for Contentful (Official)?
This profile displays 10 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.5 out of 5—verify behavior in your own environment before production use.
MCP server reviews

Ratings

4.510 reviews
  • Shikha Mishra· Oct 10, 2024

    Contentful (Official) is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.

  • Piyush G· Sep 9, 2024

    We evaluated Contentful (Official) against two servers with overlapping tools; this profile had the clearer scope statement.

  • Chaitanya Patil· Aug 8, 2024

    Useful MCP listing: Contentful (Official) is the kind of server we cite when onboarding engineers to host + tool permissions.

  • Sakshi Patil· Jul 7, 2024

    Contentful (Official) reduced integration guesswork — categories and install configs on the listing matched the upstream repo.

  • Ganesh Mohane· Jun 6, 2024

    I recommend Contentful (Official) for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.

  • Oshnikdeep· May 5, 2024

    Strong directory entry: Contentful (Official) surfaces stars and publisher context so we could sanity-check maintenance before adopting.

  • Dhruvi Jain· Apr 4, 2024

    Contentful (Official) has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.

  • Rahul Santra· Mar 3, 2024

    According to our notes, Contentful (Official) benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.

  • Pratham Ware· Feb 2, 2024

    We wired Contentful (Official) into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.

  • Yash Thakker· Jan 1, 2024

    Contentful (Official) is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.