MCP Server Contenful
M

MCP Server Contenful

An MCP server that connects Claude to Contentful CMS, supporting the retrieval of content types and entry data.
2.5 points
8.7K

What is the Contentful MCP Server?

This is a specially designed intermediate server that allows the Claude AI assistant to directly access and query data in your Contentful content management system. It uses the Model Context Protocol (MCP) to establish a communication bridge.

How to use the Contentful MCP Server?

You need to install and configure the server locally first, and then register the server in Claude Desktop. After that, Claude can query the content in your Contentful via natural language.

Use cases

It is particularly useful when you need an AI assistant to help manage, query, or analyze content in Contentful, such as content review, quick retrieval, or automatic generation of content reports.

Main features

Get content types
Can get all content type structures defined in the Contentful space
Retrieve content entries
Supports querying specific entry data by content type
Structured response
The returned data is in an AI-friendly structured format, which is easy for Claude to understand and process
Advantages
Allow AI to access CMS content without writing code
Support real-time query of the latest content data
Secure and controllable, only operate within the configured Contentful space
Limitations
Requires a local server for transit
Currently only supports Contentful CMS
Requires a Claude Desktop environment

How to use

Installation preparation
Ensure that Node.js (v16+) and a Contentful account are installed
Clone the repository
Get the server code locally
Configure environment variables
Set your Contentful credentials in the.env file
Start the server
Compile and run the server
Configure Claude Desktop
Add MCP server information to the Claude configuration

Usage examples

Content review assistance
Let Claude check if all pending content meets the specifications
Content analysis report
Generate a statistical analysis report of the content library

Frequently Asked Questions

What Contentful permissions are required?
Does it support the Contentful preview API?
Can I modify the data in Contentful?

Related resources

Contentful official documentation
Contentful development documentation and API reference
MCP protocol description
Model Context Protocol technical specification
GitHub repository
Project source code

Installation

Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.

Alternatives

A
Airweave
Airweave is an open - source context retrieval layer for AI agents and RAG systems. It connects and synchronizes data from various applications, tools, and databases, and provides relevant, real - time, multi - source contextual information to AI agents through a unified search interface.
Python
16.2K
5 points
V
Vestige
Vestige is an AI memory engine based on cognitive science. By implementing 29 neuroscience modules such as prediction error gating, FSRS - 6 spaced repetition, and memory dreaming, it provides long - term memory capabilities for AI. It includes a 3D visualization dashboard and 21 MCP tools, runs completely locally, and does not require the cloud.
Rust
10.6K
4.5 points
M
Moltbrain
MoltBrain is a long-term memory layer plugin designed for OpenClaw, MoltBook, and Claude Code, capable of automatically learning and recalling project context, providing intelligent search, observation recording, analysis statistics, and persistent storage functions.
TypeScript
9.2K
4.5 points
B
Bm.md
A feature-rich Markdown typesetting tool that supports multiple style themes and platform adaptation, providing real-time editing preview, image export, and API integration capabilities
TypeScript
14.9K
5 points
S
Security Detections MCP
Security Detections MCP is a server based on the Model Context Protocol that allows LLMs to query a unified security detection rule database covering Sigma, Splunk ESCU, Elastic, and KQL formats. The latest version 3.0 is upgraded to an autonomous detection engineering platform that can automatically extract TTPs from threat intelligence, analyze coverage gaps, generate SIEM-native format detection rules, run tests, and verify. The project includes over 71 tools, 11 pre-built workflow prompts, and a knowledge graph system, supporting multiple SIEM platforms.
TypeScript
7.8K
4 points
P
Paperbanana
Python
9.1K
5 points
B
Better Icons
An MCP server and CLI tool that provides search and retrieval of over 200,000 icons, supports more than 150 icon libraries, and helps AI assistants and developers quickly obtain and use icons.
TypeScript
9.7K
4.5 points
A
Assistant Ui
assistant - ui is an open - source TypeScript/React library for quickly building production - grade AI chat interfaces, providing composable UI components, streaming responses, accessibility, etc., and supporting multiple AI backends and models.
TypeScript
10.0K
5 points
M
Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
38.2K
5 points
G
Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
28.5K
4.3 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
81.9K
4.3 points
N
Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
24.1K
4.5 points
U
Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
38.6K
5 points
F
Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
69.9K
4.5 points
G
Gmail MCP Server
A Gmail automatic authentication MCP server designed for Claude Desktop, supporting Gmail management through natural language interaction, including complete functions such as sending emails, label management, and batch operations.
TypeScript
24.1K
4.5 points
M
Minimax MCP Server
The MiniMax Model Context Protocol (MCP) is an official server that supports interaction with powerful text-to-speech, video/image generation APIs, and is suitable for various client tools such as Claude Desktop and Cursor.
Python
55.5K
4.8 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
© 2026AIBase