Contentful MCP Server
Equip your AI agent to fetch, create, and manage digital content effortlessly using Contentful's headless architecture.
Ask AI about this MCP Server
Vinkius supports streamable HTTP and SSE.

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
What is the Contentful MCP Server?
The Contentful MCP Server gives AI agents like Claude, ChatGPT, and Cursor direct access to Contentful via 12 tools. Equip your AI agent to fetch, create, and manage digital content effortlessly using Contentful's headless architecture. Powered by the Vinkius - no API keys, no infrastructure, connect in under 2 minutes.
Built-in capabilities (12)
Tools for your AI Agents to operate Contentful
Ask your AI agent "Retrieve the details and full content for the article titled 'AI Best Practices' from space ID 'xvz1'." and get the answer without opening a single dashboard. With 12 tools connected to real Contentful data, your agents reason over live information, cross-reference it with other MCP servers, and deliver insights you would spend hours assembling manually.
Works with Claude, ChatGPT, Cursor, and any MCP-compatible client. Powered by the Vinkius - your credentials never touch the AI model, every request is auditable. Connect in under two minutes.
Why teams choose Vinkius
One subscription gives you access to thousands of MCP servers - and you can deploy your own to the Vinkius Edge. Your AI agents only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure and security, zero maintenance.
Build your own MCP Server with our secure development framework →Vinkius works with every AI agent you already use
…and any MCP-compatible client


















Contentful MCP Server capabilities
12 toolsCreate a new entry in draft state
Get details of a specific content type
Get details of a specific entry
List all assets in the current environment
List all content types in the current environment
List entries in the current environment
List environments in the current space
List all Contentful organizations
List all Contentful spaces available
Publish a draft entry
Unpublish an entry (return to draft)
Update an existing entry
What the Contentful MCP Server unlocks
Integrate the Contentful content management platform directly into your conversational AI. Automate your editorial workflow and manage entries across spaces and environments without modifying code.
What you can do
- Content Retrieval — Retrieve and display existing content entries, assets, and content models efficiently.
- Entry Creation — Command the AI to format and draft text content, creating new Contentful entries natively.
- Space Discovery — Ask the agent to find specific content types or query the environment architecture intuitively.
How it works
1. Append this integration into your AI interface.
2. Authorize it using your Contentful Personal Access Token.
3. Request your agent to find entries or manage existing content.
Who is this for?
- Content Creators — Outline an article in the chat and have it automatically pushed into a Contentful entry.
- Developers — Query the exact schema details of any content type while writing front-end components.
- Digital Marketers — Find and use specific image assets seamlessly without leaving the planning timeline.
Frequently asked questions about the Contentful MCP Server
How do I generate a Contentful Personal Access Token?
Log into your Contentful dashboard. Click on your profile picture in the top right corner and navigate to Account Settings. Locate Personal Access Tokens and click 'Generate Personal Token'. Copy the value provided.
Do I need the Space ID to use this integration?
Yes. Most actions the AI performs require your specific Space ID to target the correct content repository effectively.
Can the agent interact with unpublished draft entries directly?
Yes, Contentful's Content Management API (CMA) natively handles internal content regardless of publish state. You can command your AI to fetch, check, or structure a draft before hitting the publish flag explicitly.
More in this category
You might also like
Connect Contentful with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Give your AI agents the power of Contentful MCP Server
Production-grade Contentful MCP Server. Verified, monitored, and maintained by Vinkius. Ready for your AI agents — connect and start using immediately.






