by contentful
Official Contentful integration for advanced content management software, automating full content lifecycle via Contentf
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.
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.
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.
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.
Add new capabilities to Claude beyond text generation
Example
Access external data sources, execute code, interact with tools and services
Transform Claude from chatbot to action-taking agent
Provide Claude with access to relevant context and data
Example
Load project documentation, access knowledge bases, query databases
Get more accurate, context-aware responses
Automate multi-step workflows combining AI and external tools
Example
Research → Summarize → Create document → Send notification
Complete complex tasks end-to-end without manual steps
Share your MCP server with the developer community
Contentful (Official) has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
According to our notes, Contentful (Official) benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
Contentful (Official) reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
Contentful (Official) reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
Contentful (Official) has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
Contentful (Official) is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
We wired Contentful (Official) into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
We evaluated Contentful (Official) against two servers with overlapping tools; this profile had the clearer scope statement.
I recommend Contentful (Official) for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
According to our notes, Contentful (Official) benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
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A Model Context Protocol (MCP) server that provides AI assistants with comprehensive tools to interact with Contentful APIs.
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:
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
git clone https://github.com/contentful/contentful-mcp-server.git
cd contentful-mcp-server
npm install
npm run build
| Environment Variable | Required | Default Value | Description |
|---|---|---|---|
CONTENTFUL_MANAGEMENT_ACCESS_TOKEN | ✅ Yes | - | Your Contentful Management API personal access token |
SPACE_ID | ✅ Yes | - | Your Contentful Space ID |
ENVIRONMENT_ID | ❌ No | master | Target environment within your space |
CONTENTFUL_HOST | ❌ No | api.contentful.com | Contentful API host |
NODE_ENV | ❌ No | production | Node Environment to run in |
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"
}
}
}
}
| Category | Tool Name | Description |
|---|---|---|
| Context & Setup | get_initial_context | Initialize connection and get usage instructions |
| Content Types | list_content_types | List all content types |
get_content_type | Get detailed content type information | |
create_content_type | Create new content types | |
update_content_type | Modify existing content types | |
publish_content_type | Publish content type changes | |
unpublish_content_type | Unpublish content types | |
delete_content_type | Remove content types | |
| Entries | search_entries | Search and filter entries |
get_entry | Retrieve specific entries | |
create_entry | Create new content entries | |
update_entry | Modify existing entries | |
publish_entry | Publish entries (single or bulk) | |
unpublish_entry | Unpublish entries (single or bulk) | |
delete_entry | Remove entries | |
| Assets | upload_asset | Upload new assets |
list_assets | List and browse assets | |
get_asset | Retrieve specific assets | |
update_asset | Modify asset metadata | |
publish_asset | Publish assets (single or bulk) | |
unpublish_asset | Unpublish assets (single or bulk) | |
delete_asset | Remove assets | |
| Spaces & Environments | list_spaces | List available spaces |
get_space | Get space details | |
list_environments | List environments | |
create_environment | Create new environments | |
delete_environment | Remove environments | |
| Locales | list_locales | List all locales in your environment |
get_locale | Retrieve specific locale information | |
create_locale | Create new locales for multi-language content | |
update_locale | Modify existing locale settings | |
delete_locale | Remove locales from environment | |
| Tags | list_tags | List all tags |
create_tag | Create new tags | |
| AI Actions | create_ai_action | Create custom AI-powered workflows |
invoke_ai_action | Invoke an AI action with variables | |
get_ai_action_invocation | Get AI action invocation details | |
get_ai_action | Retrieve AI action details and configuration | |
list_ai_actions | List AI actions in a space | |
update_ai_action | Update existing AI actions | |
publish_ai_action | Publish AI actions for use | |
unpublish_ai_action | Unpublish AI actions | |
delete_ai_action | Remove AI actions |
We welcome contributions! Please see our Contributing Guide for local development setup and contribution guide
Prerequisites
Time Estimate
15-60 minutes depending on server complexity
Steps
Troubleshooting
✓ Do
✗ Don't
💡 Pro Tips
Architecture
Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.
Protocols
Compatibility
✓ Use when
Use when you need Claude to access external data, execute actions, or integrate with tools. Best for extending AI capabilities beyond conversation.
✗ Avoid when
Avoid when native integrations exist (use official APIs directly), for real-time critical systems, or when security/compliance requires zero external dependencies.