Webiny CMS Connector for AI agents.
9 live capabilities
Manage your headless content and GraphQL workflows through natural conversation.
Waiting for input…
Why people use Webiny CMS
Stop wrestling with CMS dashboards and manual JSON drafting.
This Connector turns your AI agent into a content operations manager. Instead of navigating menus, you just tell your agent what to do. You get your content updated, published, and organized through a simple conversation, letting you stay in your flow state.
What Vinkius changes
Your AI agent becomes a direct interface for your entire content lifecycle.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 6,100+ Connectors
- Real-world use case 01
Bulk Content Updates
A marketing manager needs to update the price on 20 products.
- Real-world use case 02
Quick Draft Creation
A writer wants to quickly add a new Author entry.
- Real-world use case 03
Schema Exploration
A developer needs to know what fields are available in the Blog model.
Complete set · 9capabilities
The complete Webiny CMS capability set.
These are the exact actions your AI can choose when you ask it to work with Webiny CMS.
01—03
3 capabilities in this set.
Part of 9 available through Webiny CMS.
- 01 Capability
Create cms entry
Create a new draft entry for a specific content model using a JSON object for the fields. This lets you build content without opening the CMS dashboard.
- 02 Capability
Delete cms entry
Permanently remove a content entry revision from your CMS. Use this to clean up old drafts or mistakes.
- 03 Capability
Execute graphql query
Run raw GraphQL queries or mutations against the Webiny API for custom logic. This is great for complex data operations.
04—06
3 capabilities in this set.
Part of 9 available through Webiny CMS.
- 04 Capability
Get api introspection
Fetch the GraphQL schema to understand the available types and fields in your environment. It helps you see your full data structure.
- 05 Capability
Get model entry details
Get the specific details and metadata for a content model entry by its revision ID. Use this to inspect field-level properties.
- 06 Capability
List model entries
List all entries for a specific content model, filtering by draft or live status. It's the fastest way to browse your content.
07—09
3 capabilities in this set.
Part of 9 available through Webiny CMS.
- 07 Capability
Update cms entry
Update the fields of an existing content entry revision using a JSON object. Use this to make quick edits to live or draft content.
- 08 Capability
Get tenant config
Retrieve global settings and configurations for your entire Webiny tenant. This helps you verify your environment is healthy.
- 09 Capability
Publish cms entry
Take a draft entry and make it live and accessible via your Read API. This moves your content into production instantly.
Set up in minutes
One URL. Then ask Webiny CMS to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Webiny CMS 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_IUcCLFWKptm8T3ZnOC6XFGqdSwKmbpaEOYRidrry/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 Webiny CMS, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Webiny CMS for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_IUcCLFWKptm8T3ZnOC6XFGqdSwKmbpaEOYRidrry/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 Webiny CMS URL.
- Step 03
Save and start
Save the connection and enable Webiny CMS in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"webiny-cms": {
"url": "https://edge.vinkius.com/vk_preview_IUcCLFWKptm8T3ZnOC6XFGqdSwKmbpaEOYRidrry/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 Webiny CMS
Open Agent mode in chat and ask: "Using Webiny CMS, help me...". 9 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"webiny-cms": {
"url": "https://edge.vinkius.com/vk_preview_IUcCLFWKptm8T3ZnOC6XFGqdSwKmbpaEOYRidrry/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 Webiny CMS
Ask Copilot: "Using Webiny CMS, help me...". 9 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"webiny-cms": {
"url": "https://edge.vinkius.com/vk_preview_IUcCLFWKptm8T3ZnOC6XFGqdSwKmbpaEOYRidrry/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 Webiny CMS
Open Cascade and ask: "Using Webiny CMS, help me...". 9 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"webiny-cms": {
"url": "https://edge.vinkius.com/vk_preview_IUcCLFWKptm8T3ZnOC6XFGqdSwKmbpaEOYRidrry/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 Webiny CMS
Ask Cline: "Using Webiny CMS, help me...". 9 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add webiny-cms --transport http "https://edge.vinkius.com/vk_preview_IUcCLFWKptm8T3ZnOC6XFGqdSwKmbpaEOYRidrry/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 Webiny CMS
Ask Claude: "Using Webiny CMS, show me...". 9 tools are ready
Where the request belongs
Work Webiny can move forward.
This is for content teams and developers who are tired of the context switching tax between their writing capabilities and the CMS dashboard. It's for the person who needs to update 50 entries at once or the developer who wants to test queries without a playground.
Content Manager
Updates and publishes entries across multiple models and locales without manual data entry.
Headless Developer
Tests GraphQL queries and verifies content model introspection through chat.
Marketing Coordinator
Quickly browses content items and verifies publication status for various campaigns.
CMS Administrator
Monitors tenant settings and audits content revisions through simple commands.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
Browse ConnectorsZesty.io
Manage content models, items, and instances via the Zesty.io API.
Elemeno
Equip your AI agent to manage content collections, track singletons, and monitor items via the Elemeno CMS API.
Payload CMS
Manage your Payload CMS instance. query collections, inspect documents, and manage content directly from your AI agent.
Hygraph (Headless CMS)
Manage headless content via Hygraph. execute GraphQL queries, introspect schemas, and manage documents.
DatoCMS
Manage headless content via DatoCMS. execute GraphQL queries, handle record CRUD, manage content models, and audit media uploads directly from any AI agent.
Cockpit (Self-hosted Headless CMS API)
Manage your self-hosted Cockpit CMS content, assets, and menus directly from any AI agent.
Bring your own AI
Change the model, client or framework. Keep Webiny connected.
-
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 Webiny.
The practical details behind the request, access and result.
Can the Webiny CMS MCP help me update content in different languages?
Yes. It supports multi-locale management, allowing you to list, create, and update content across various locales like en-US or pt-BR through your agent.
How does this Connector handle complex GraphQL queries?
It allows you to execute raw GraphQL mutations and queries using plain language. You can request complex data operations without drafting JSON manually.
Can I use this to see my CMS settings?
Yes. You can ask your agent to check your global tenant configurations to verify that your environment is healthy and correctly configured.
Will this Connector let me see all my content models?
Yes. The Connector uses introspection to let your agent discover all available types, fields, and models within your specific Webiny instance.
How do I manage my content lifecycle with this Connector?
You can manage the entire lifecycle by asking your agent to create drafts, update specific fields, and move content to a live status.
Can I use this to find specific content IDs?
Yes. You can ask your agent to list all entries for a specific model, which will provide you with the IDs needed for updates or deletions.
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.
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.
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.
One connection away
Give your agent a direct line to Webiny.
Connect Webiny once. Keep it beside 6,100+ managed Connectors when the next task needs more.
Explore every Connector No credit card required · Free tier available