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.
Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.
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
- 🛠️ Available Tools
- 🔍 Development
- 📦 Releases
- 🤝 Contributing
- 📚 Documentation
- ❓ Help & Support
- 📄 License and Notices
- 🛡️ Code of Conduct
⚙️ Getting started
Prerequisites
- Node.js
- npm
- A Contentful account with a Space ID
- Contentful Management API personal access token
Installation
One-Click install
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 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 |
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
| 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 |
🤝 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 26 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.8 out of 5—verify behavior in your own environment before production use.
Use Cases▌
Extended AI Capabilities
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
Context Enhancement
Provide Claude with access to relevant context and data
Example
Load project documentation, access knowledge bases, query databases
Get more accurate, context-aware responses
Workflow Automation
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
Implementation Guide▌
Prerequisites
- ›Claude Desktop 0.7.0+ or Cursor IDE with MCP support
- ›Basic understanding of MCP architecture and capabilities
- ›Access credentials for integrated services (if required)
- ›Willingness to experiment and iterate on configuration
Time Estimate
15-60 minutes depending on server complexity
Installation Steps
- 1.Install MCP server: npm install -g [package-name] or via GitHub
- 2.Add server configuration to ~/.claude/mcp.json
- 3.Provide required credentials and configuration
- 4.Restart Claude Desktop to load new server
- 5.Test basic functionality with simple prompts
- 6.Explore capabilities and experiment with use cases
- 7.Document successful patterns for reuse
Troubleshooting
- ⚠MCP server not loading: Check config syntax, verify installation
- ⚠Connection errors: Check network, firewall, credentials
- ⚠Feature not working: Read server docs, check required parameters
- ⚠Performance issues: Monitor resource usage, check for network latency
- ⚠Conflicts with other servers: Check port assignments, namespace collisions
Best Practices▌
✓ Do
- +Read server documentation thoroughly before setup
- +Start with simple use cases to validate functionality
- +Test in non-production environment first
- +Monitor resource usage and performance
- +Keep servers updated for bug fixes and new features
- +Document configuration for team members
- +Use environment variables for sensitive configuration
✗ Don't
- −Don't grant overly permissive access to MCP servers
- −Don't skip reading security considerations in docs
- −Don't expose sensitive data without proper controls
- −Don't run untrusted MCP servers without code review
- −Don't ignore error messages—investigate root cause
💡 Pro Tips
- ★Combine multiple MCP servers for powerful workflows
- ★Create custom MCP servers for your specific needs
- ★Share successful configurations with team
- ★Use MCP inspector for debugging
- ★Join MCP community for tips and troubleshooting
Technical Details▌
Architecture
Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.
Protocols
- Model Context Protocol (MCP)
- JSON-RPC 2.0
- stdio or HTTP transport
Compatibility
- Claude Desktop
- Cursor IDE
- Custom MCP clients
When to Use This▌
✓ 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.
Integration▌
- →Tool composition: Chain multiple MCP tools in workflows
- →Context augmentation: Provide AI with relevant external data
- →Action delegation: Let AI execute tasks on external systems
- →Bidirectional sync: Keep AI context and external systems in sync
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
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Ratings
4.8★★★★★26 reviews- ★★★★★Ganesh Mohane· Dec 24, 2024
Contentful (Official) has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
- ★★★★★Evelyn Choi· Dec 16, 2024
According to our notes, Contentful (Official) benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
- ★★★★★Yuki Yang· Dec 12, 2024
Contentful (Official) reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
- ★★★★★Sakshi Patil· Nov 15, 2024
Contentful (Official) reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
- ★★★★★Evelyn Perez· Nov 3, 2024
Contentful (Official) has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
- ★★★★★Aditi Verma· Oct 22, 2024
Contentful (Official) is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
- ★★★★★Chaitanya Patil· Oct 6, 2024
We wired Contentful (Official) into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
- ★★★★★Aanya Liu· Sep 21, 2024
We evaluated Contentful (Official) against two servers with overlapping tools; this profile had the clearer scope statement.
- ★★★★★Ishan Abbas· Aug 12, 2024
I recommend Contentful (Official) for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
- ★★★★★Yash Thakker· Jul 19, 2024
According to our notes, Contentful (Official) benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
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