Use Webiny with your AI.
Connect your account once and let the AI you already use work with it, without building another integration. Manage content models, entries, and GraphQL workflows on Webiny. the enterprise open-source headless CMS.
Developed, maintained, and hosted by Vinkius.
MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED
Waiting for input…
Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.
Complete set · 9 capabilities
The complete Webiny capability set.
These are the exact actions your AI can choose when you ask it to work with Webiny.
01-03
3 capabilities in this set.
Part of 9 available through Webiny.
- 01
Create cms entry
Provide the singular model name and field data as a JSON object. Creates a new draft entry for a content model
- 02
Delete cms entry
This action is irreversible. Permanently deletes a content entry revision
- 03
Get API introspection
Retrieves the GraphQL schema introspection for the Webiny instance
04-06
3 capabilities in this set.
Part of 9 available through Webiny.
- 04
List model entries
Provide the model plural name (e.g. "Articles"). Specify api_type (manage for drafts, read for live). Lists all entries for a specific content model in Webiny
- 05
Update cms entry
Provide the entry ID and a JSON object containing the field updates. Updates fields of an existing content entry revision
- 06
Execute graphql query
Specify api_type (manage, read, preview) and locale. Executes a raw GraphQL query or mutation against the Webiny CMS API
07-09
3 capabilities in this set.
Part of 9 available through Webiny.
- 07
Get model entry details
ID refers to the specific revision. Retrieves details for a specific content model entry
- 08
Get tenant config
Retrieves globalThis settings for the Webiny tenant
- 09
Publish cms entry
Provide the specific revision ID. Publishes a draft entry, making it available via the "read" API
Observed, not estimated
897ms average. Fast in production.
Webiny is checked daily against the live service.
- Fastest day
- 728ms
- Slowest day
- 1097ms
- 14-day trend
- Slowing+27%
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 Webiny, so you can see the experience inside your AI.
It does not authenticate your account with Webiny. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.
Webiny Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_IUcCLFWKptm8T3ZnOC6XFGqdSwKmbpaEOYRidrry/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 — Webiny capabilities are ready to use.
{
"mcpServers": {
"webiny-cms-mcp": {
"url": "https://edge.vinkius.com/vk_preview_IUcCLFWKptm8T3ZnOC6XFGqdSwKmbpaEOYRidrry/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
FAQ
Questions Webiny owners ask.
- 01
Can I publish a draft content entry via chat?
Yes. The publish_cms_entry capability allows you to take any draft revision live. You just need to provide the entry ID and the model name, and your AI agent will handle the publication through the Webiny 'manage' API.
- 02
Is it possible to see the entire GraphQL schema of my instance?
Absolutely. Using the get_api_introspection capability, your agent can retrieve the full GraphQL schema introspection, giving you a complete overview of all available types, fields, and content models in your environment.
- 03
How do I add a new entry to a content model through conversation?
Use the create_cms_entry capability. Provide the singular model name (e.g., 'Article'), the target locale, and a JSON object containing the field data. Your agent will create the new draft entry instantly.
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