Contentful MCP Server for Cursor 12 tools — connect in under 2 minutes
Cursor is an AI-first code editor built on VS Code that integrates LLM-powered coding assistance directly into the development workflow. Its Agent mode enables autonomous multi-step coding tasks, and MCP support lets agents access external data sources and APIs during code generation.
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{
"mcpServers": {
"contentful": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
}
* 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
About Contentful MCP Server
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.
Cursor's Agent mode turns Contentful into an in-editor superpower. Ask Cursor to generate code using live data from Contentful and it fetches, processes, and writes. all in a single agentic loop. 12 tools appear alongside file editing and terminal access, creating a unified development environment grounded in real-time information.
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.
The Contentful MCP Server exposes 12 tools through the Vinkius. Connect it to Cursor in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Contentful to Cursor via MCP
Follow these steps to integrate the Contentful MCP Server with Cursor.
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
Save the file
Cursor will automatically detect the new MCP server
Start using Contentful
Open Agent mode in chat and ask: "Using Contentful, help me...". 12 tools available
Why Use Cursor with the Contentful MCP Server
Cursor AI Code Editor provides unique advantages when paired with Contentful through the Model Context Protocol.
Agent mode turns Cursor into an autonomous coding assistant that can read files, run commands, and call MCP tools without switching context
Cursor's Composer feature can generate entire files using real-time data fetched through MCP. no copy-pasting from external dashboards
MCP tools appear alongside built-in tools like file reading and terminal access, creating a unified agentic environment
VS Code extension compatibility means your existing workflow, keybindings, and extensions all work alongside MCP tools
Contentful + Cursor Use Cases
Practical scenarios where Cursor combined with the Contentful MCP Server delivers measurable value.
Code generation with live data: ask Cursor to generate a security report module using live DNS and subdomain data fetched through MCP
Automated documentation: have Cursor query your API's tool schemas and generate TypeScript interfaces or OpenAPI specs automatically
Infrastructure-as-code: Cursor can fetch domain configurations and generate corresponding Terraform or CloudFormation templates
Test scaffolding: ask Cursor to pull real API responses via MCP and generate unit test fixtures from actual data
Contentful MCP Tools for Cursor (12)
These 12 tools become available when you connect Contentful to Cursor via MCP:
create_entry
Create a new entry in draft state
get_content_type
Get details of a specific content type
get_entry
Get details of a specific entry
list_assets
List all assets in the current environment
list_content_types
List all content types in the current environment
list_entries
List entries in the current environment
list_environments
List environments in the current space
list_organizations
List all Contentful organizations
list_spaces
List all Contentful spaces available
publish_entry
Publish a draft entry
unpublish_entry
Unpublish an entry (return to draft)
update_entry
Update an existing entry
Example Prompts for Contentful in Cursor
Ready-to-use prompts you can give your Cursor agent to start working with Contentful immediately.
"Retrieve the details and full content for the article titled 'AI Best Practices' from space ID 'xvz1'."
"Fetch the structure schema of our 'Blog Post' content model."
"List all environments in our current Contentful space."
Troubleshooting Contentful MCP Server with Cursor
Common issues when connecting Contentful to Cursor through the Vinkius, and how to resolve them.
Tools not appearing in Cursor
Server shows as disconnected
Contentful + Cursor FAQ
Common questions about integrating Contentful MCP Server with Cursor.
What is Agent mode and why does it matter for MCP?
Where does Cursor store MCP configuration?
mcp.json file. You can configure servers at the project level (.cursor/mcp.json in your project root) or globally (~/.cursor/mcp.json). Project-level configs take precedence.Can Cursor use MCP tools in inline edits?
How do I verify MCP tools are loaded?
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.
Connect Contentful to Cursor
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.
