
Connect Strapi to ChatGPT, Claude and Gemini
Set it up once and it works in ChatGPT, Claude, Cursor, and any other client you love. It all runs safely in the background, so you can relax and focus on what really matters. Manage your entire content architecture through natural language.
Developed, maintained, and hosted by Vinkius.
MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED
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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.
Your AI does the work. We keep it safe and sound.
No other AI tool gives you this. Your workflow runs in the client you already love, your account stays protected, and you decide what the agent can and cannot do. It is the whole reason to make the switch.
Each Connector lives inside our infrastructure, the same place where your workflow runs. The three things below are already part of it, working quietly in the background so you never have to think about them. Nothing to add, nothing to set up, nothing to worry about.

Each Connector runs inside its own sealed environment.
Each Connector runs inside its own sealed V8 runtime — no access to your files, your system, or other servers. A Connector never sees past its own request.
One switch stops every agent. Instantly.
One action deactivates every Connector, revokes every token, and ends every session at once. AI Governance keeps the record.
Spending limits that pause instead of surprise.
Every user keeps their own connections and credentials, isolated from everyone else. Anything that would cross your spending limit is held for your approval, not billed.
Three controls, built into the layer your AI connects through.
Curated set · 9 capabilities
We ship only the actions that matter.
01-03
3 capabilities in this set.
Part of 9 available through Strapi.
- 01
List assets
This capability pulls a list of all media files currently sitting in your Strapi Media Library.
- 02
List cms users
Use this to see all registered users currently authorized in your CMS.
- 03
List content types
This capability returns all the collections and single types you have defined in your Strapi setup.
04-06
3 capabilities in this set.
Part of 9 available through Strapi.
- 04
Create entry
This capability creates a new entry for a specific content type using a JSON string of your fields.
- 05
Delete entry
This capability permanently removes a specific content entry from your database.
- 06
Get entry details
Use this to grab the full data for one specific content entry.
07-09
3 capabilities in this set.
Part of 9 available through Strapi.
- 07
List entries
This capability retrieves a list of all entries belonging to a specific content type.
- 08
Update entry
This capability modifies the fields of an existing content entry based on the ID you provide.
- 09
Upload media asset
This capability takes a public file URL and uploads that file directly into your Media Library.
Real work
What teams actually run
Automated Content Updates
Tell your agent to update product prices or descriptions across multiple entries at once.
Rapid Prototyping
Quickly build out new content types and test JSON structures using the agent.
Media Pipeline Automation
Have your agent fetch images from a URL and place them directly into your Media Library.
System Auditing
Ask your agent to list all CMS users or check the current state of a specific content collection.
Automate a task
Put Strapi to work on one thing.
Step-by-step automations your AI runs through this Connector: the workflow, the prompts to start with, and the exact capabilities behind each move.
One connector, every AI
Strapi works with the most popular AI clients.
These are the most popular clients, each with a step-by-step guide: one link, set up once, with governance and visibility built in. And because everything runs on the MCP standard, the same connection also works in any other compatible client — nothing to rebuild.
Claude
ChatGPT
Gemini
Perplexity
Grok
Microsoft Copilot
Cursor
VS Code
Windsurf
JetBrains
Cline
LangChain
Vercel AI SDK
Lovable
Z.ai
Raycast
Qwen Code
Kimi Code
Le ChatBuilding your own app? The connector is yours to use.
You don't need a client to put Strapi to work: the same hosted connection plugs into your own applications and agent code, with the same governance on every request. Build with it, chat with it — one connection for both.
Observed, not estimated
919ms average. Fast in production.
Strapi is checked daily against the live service.
- Fastest day
- 701ms
- Slowest day
- 1133ms
- 14-day trend
- Slowing+20%
Connect your client
One URL. Every client.
Activate the Connector, copy your link, and paste it into the client you already use. 9 capabilities arrive ready to run.
Preview access · not provider authentication
The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of Strapi, so you can see the experience inside your AI.
It does not authenticate your account with Strapi. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.
Strapi Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_XW0VKYW7fERHyVcldZlUQhDE6kthxxE5fmyWrKu0/mcpClaude Desktop
Follow the steps below to connect in seconds.
- 1In Claude Desktop, open Settings → Connectors.
- 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
- 3Click Add and start a new chat — Strapi capabilities are ready to use.
{
"mcpServers": {
"strapi-mcp": {
"url": "https://edge.vinkius.com/vk_preview_XW0VKYW7fERHyVcldZlUQhDE6kthxxE5fmyWrKu0/mcp"
}
}
}
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Step-by-step instructions for each client are in the guide. How to connect
Guided setup for Claude? Set up Strapi in Claude and other AIs
Who it's for
Built for the work Strapi owners hand off.
This MCP is built for technical teams who live in IDEs or terminal environments and want to manage content without leaving their workflow.
- 01
Backend Architects
They use the agent to validate JSON payloads and check schema configurations.
- 02
Technical Marketers
They hand off content updates and entry creation to the agent to scale publishing.
- 03
DevOps Engineers
They use the capability to automate metadata changes and audit structural dependencies.
FAQ
Questions Strapi owners ask.
- 01
How do I connect my Strapi instance to this MCP?
You need to provide your STRAPI_BASE_URL and a STRAPI_API_KEY generated from your Strapi admin panel in your configuration.
- 02
Can I upload images using my AI client?
Yes, you can use the upload_media_asset capability to send a public file URL to your Strapi Media Library.
- 03
Is it safe to delete entries through the AI?
The delete_entry capability is irreversible. You should only use it when you are certain you want to permanently remove a record.
- 04
Which AI clients can use this Strapi MCP?
Any MCP-compatible client, including Claude, Cursor, Windsurf, and VS Code, can use this capability.
- 05
Can I see my content type schema?
Yes, you can use the list_content_types capability to see all the collections and single types you have defined.
- 06
How does the AI know the correct JSON format for new entries?
The agent calls list_content_types first to read each collection's field names and types. It then builds a compliant JSON payload matching the schema before calling create_entry.
- 07
Can the agent delete content types or schemas?
No. delete_entry only removes individual data rows within a collection. It cannot alter, drop, or modify content type schemas or structural CMS settings.
- 08
Can I upload media files through the integration?
Yes. Use upload_media_asset to add images, videos, or documents to the Strapi Media Library. You can also browse existing assets with list_assets.
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Connect Strapi to Claude, Cursor, ChatGPT & more
