Contentful Connector for AI agents.
12 live capabilities
Manage your headless CMS content and assets directly through your chat.
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Why people use Contentful
Contentful CMS Content Management and Schema Discovery
This Connector changes that by giving your agent a direct line to your content. You can stay in your chat and tell your agent to draft the entry, check the content types, or pull assets. You get a unified workflow where the AI does the heavy lifting of data entry and retrieval.
What Vinkius changes
Your AI becomes a direct editor for your headless CMS.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 5,900+ Connectors
- Real-world use case 01
Drafting a blog post from a conversation
A content creator asks the agent to turn a chat summary into a blog post.
- Real-world use case 02
Checking content schemas during development
A developer needs to know the fields for a product page.
- Real-world use case 03
Finding specific images for a marketing plan
A marketer asks for a specific logo.
Complete set · 12capabilities
The complete Contentful capability set.
These are the exact actions your AI can choose when you ask it to work with Contentful.
01—04
4 capabilities in this set.
Part of 12 available through Contentful.
- 01 Capability
Get content type
Get the specific details of a content type. This helps you understand the schema of your content models.
- 02 Capability
List content types
See all content types in your environment. This gives your agent a map of your content structure.
- 03 Capability
List entries
Get a list of all entries in your environment. This helps with auditing or finding specific records.
- 04 Capability
List environments
See the different environments in your space. This helps you stay in the right context.
05—08
4 capabilities in this set.
Part of 12 available through Contentful.
- 05 Capability
List organizations
See all organizations in your Contentful account. This helps manage high-level access.
- 06 Capability
List spaces
See all available Contentful spaces. Use this to navigate between different project areas.
- 07 Capability
Publish entry
Move a draft entry into a published state. This takes a draft live with a single command.
- 08 Capability
Unpublish entry
Move a published entry back to a draft state. Use this to take content offline quickly.
09—12
4 capabilities in this set.
Part of 12 available through Contentful.
- 09 Capability
Update entry
Modify an existing entry in your CMS. Use this to make quick edits to live or draft content.
- 10 Capability
Create entry
Create a new entry in a draft state. This lets your agent draft content for you to review.
- 11 Capability
Get entry
Pull the full details of a specific entry. It's the fastest way to see what's inside a record.
- 12 Capability
List assets
See every asset in your current environment. This is great for finding specific images or files.
Set up in minutes
One URL. Then ask Contentful to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Contentful from the conversation.
Choose your client
Live previewAdvanced clients IDE · CLI
Claude · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_FRRtFHq5L2okvsPTtqPaQuDBSQN9uVdkt6TR3UVB/mcp - Step 01
Open Connectors
In Claude Web or Claude Desktop, open Settings and choose Connectors.
- Step 02
Add the URL
Choose Add custom connector, name it Contentful, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Contentful for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_FRRtFHq5L2okvsPTtqPaQuDBSQN9uVdkt6TR3UVB/mcp - Step 01
Open MCP settings
On desktop, open Settings and MCP servers. On web, open your workspace app or connector settings.
- Step 02
Add the URL
Choose Add server with Streamable HTTP, or create a custom MCP app, then paste the Contentful URL.
- Step 03
Save and start
Save the connection and enable Contentful in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"contentful": {
"url": "https://edge.vinkius.com/vk_preview_FRRtFHq5L2okvsPTtqPaQuDBSQN9uVdkt6TR3UVB/mcp"
}
}
} - Step 01
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
- Step 02
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
- Step 03
Save the file
Cursor will automatically detect the new Connector
- Step 04
Start using Contentful
Open Agent mode in chat and ask: "Using Contentful, help me...". 12 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"contentful": {
"url": "https://edge.vinkius.com/vk_preview_FRRtFHq5L2okvsPTtqPaQuDBSQN9uVdkt6TR3UVB/mcp"
}
}
} - Step 01
Create MCP config
Create a .vscode/mcp.json file in your project root
- Step 02
Add the server config
Paste the JSON configuration above
- Step 03
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
- Step 04
Start using Contentful
Ask Copilot: "Using Contentful, help me...". 12 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"contentful": {
"url": "https://edge.vinkius.com/vk_preview_FRRtFHq5L2okvsPTtqPaQuDBSQN9uVdkt6TR3UVB/mcp"
}
}
} - Step 01
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
- Step 02
Add the server
Paste the JSON configuration above into mcp_config.json
- Step 03
Save and reload
Windsurf will detect the new server automatically
- Step 04
Start using Contentful
Open Cascade and ask: "Using Contentful, help me...". 12 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"contentful": {
"url": "https://edge.vinkius.com/vk_preview_FRRtFHq5L2okvsPTtqPaQuDBSQN9uVdkt6TR3UVB/mcp"
}
}
} - Step 01
Open Cline MCP Settings
Click the Connectors icon in the Cline sidebar panel
- Step 02
Add remote server
Click "Add Connector" and paste the configuration above
- Step 03
Enable the server
Toggle the server switch to ON
- Step 04
Start using Contentful
Ask Cline: "Using Contentful, help me...". 12 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add contentful --transport http "https://edge.vinkius.com/vk_preview_FRRtFHq5L2okvsPTtqPaQuDBSQN9uVdkt6TR3UVB/mcp" - Step 01
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
- Step 02
Add the Connector
Run the command above in your terminal
- Step 03
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
- Step 04
Start using Contentful
Ask Claude: "Using Contentful, show me...". 12 tools are ready
Where the request belongs
Work Contentful can move forward.
Content managers who are tired of manual data entry, developers who need to check schemas without leaving their capabilities, and marketers who want to find assets faster.
Content Manager
Drafting and publishing articles directly via chat to skip the manual CMS dashboard entry.
Frontend Developer
Checking content type schemas and content models while building out new components.
Digital Marketer
Finding specific image assets and content records for campaign planning without leaving the chat.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
Browse ConnectorsContentstack
Equip your AI agent to instantly retrieve digital content and schemas using the Contentstack Delivery API.
Amplience
Connect your Amplience CMS to your AI agent. query hubs, pull content, edit schemas, and deploy live items easily via chat.
Flotiq
Manage headless content via Flotiq. create and search content objects, handle media assets, audit schemas, and track tenant limits directly from any AI agent.
DatoCMS
Manage headless content via DatoCMS. execute GraphQL queries, handle record CRUD, manage content models, and audit media uploads directly from any AI agent.
Zesty.io
Manage content models, items, and instances via the Zesty.io API.
Kontent.ai
Access headless content. list items, audit types, and query taxonomies.
Bring your own AI
Change the model, client or framework. Keep Contentful connected.
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Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
Windsurf -
ZCode -
Cline -
Zed -
Continue -
Kiro -
Roo Code -
Zencoder -
Goose -
Void -
Augment Code -
Amp -
Qodo -
Tabnine -
Pieces -
Sourcegraph Cody -
JetBrains -
Warp -
Amazon Q -
Antigravity -
BoltAI -
Raycast -
Jan -
LM Studio -
AnythingLLM -
Open WebUI -
Msty -
Cherry Studio -
LibreChat -
TypingMind -
Chorus -
5ire -
n8n -
LangChain -
LlamaIndex -
CrewAI -
Vercel AI SDK
Before you connect
Questions about Contentful.
The practical details behind the request, access and result.
Can the Contentful MCP create new entries for me?
Yes, it can draft new entries directly in your workspace. Your agent can take a prompt or a summary and save it as a draft for you to review.
Does the Contentful MCP allow me to manage my assets?
Yes, it can list and find assets within your environment. This makes it much faster to locate specific images or files for your content.
Can I use the Contentful MCP to see my content schemas?
Yes, it pulls content types and details. This allows your agent to understand the structure of your data so it can write content that fits your models perfectly.
Is the Contentful MCP good for multi-environment management?
Yes, it can list environments in your space. This helps ensure your agent is always working in the correct environment, whether it's staging or production.
Can the Contentful MCP handle publishing?
Yes, it can move entries from draft to published status. You can command your agent to take a piece of content live once you're satisfied with it.
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.
One connection away
Give your agent a direct line to Contentful.
Connect Contentful once. Keep it beside 5,900+ managed Connectors when the next task needs more.
Explore every Connector No credit card required · Free tier available