4,500+ servers built on MCP Fusion
Vinkius
Webiny CMS logo
Vinkius
Claude Code logo

How to Use the Webiny CMS MCP in Claude Code

Run Webiny CMS content workflows headlessly using Claude Code in CI/CD pipelines.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

Webiny CMS MCP on Cursor AI Code Editor MCP Client Webiny CMS MCP on Claude Desktop App MCP Integration Webiny CMS MCP on OpenAI Agents SDK MCP Compatible Webiny CMS MCP on Visual Studio Code MCP Extension Client Webiny CMS MCP on GitHub Copilot AI Agent MCP Integration Webiny CMS MCP on Google Gemini AI MCP Integration Webiny CMS MCP on Lovable AI Development MCP Client Webiny CMS MCP on Mistral AI Agents MCP Compatible Webiny CMS MCP on Amazon AWS Bedrock MCP Support
MCP Servers - Free for Subscribers
Claude Code

Connect Webiny CMS MCP to Claude Code

Create your Vinkius account to connect Webiny CMS to Claude Code and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Automated Content Deployment for Webiny CMS

You can't manually click 'publish.' Use `publish_cms_entry` to make a draft live. In a CI/CD pipeline, you first need the revision ID via `list_model_entries`. Then, piping that ID into `publish_cms_entry` makes the content instantly available for testing or production builds. This allows reliable automated publishing: trigger the process, and the CMS entry moves from draft to 'read' status without human intervention.

Schema Validation via GraphQL with MCP Server

Before deploying a new feature, you must validate assumptions. Run `get_api_introspection` in your script. This retrieves the complete GraphQL schema, confirming that all field names and types used by your code are valid within Webiny CMS. This step is critical for stable pipelines, preventing runtime errors caused by forgotten API changes or model name mismatches.

Managing Content State Changes in CI/CD

Need to replicate a content change? You can use `update_cms_entry` and pass the entry ID and JSON payload. This simulates making a specific field update—like changing a featured image URL or correcting a typo—in your build script. It's perfect for testing rollback scenarios, allowing you to programmatically set an entry back to a known good state.

Setup guide

Set up Webiny CMS MCP in Claude Code

Prerequisites

  • Claude Code CLI installed (npm install -g @anthropic-ai/claude-code)
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Run the add command

    Open your terminal and run the command shown on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com. Use --scope user to make it available across all projects.

  2. 2

    Verify the connection

    Start a Claude Code session and type /mcp to list connected servers. You should see webiny-cms-mcp with a green status indicator.

  3. 3

    Start using tools

    Ask Claude Code something like "Check my latest Webiny CMS transactions." It will automatically discover and invoke the available Webiny CMS tools.

Terminal
claude mcp add --transport http webiny-cms-mcp https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Webiny CMS MCP in Claude Code

Use `list_model_entries`. Provide the plural model name, like 'Articles', and set the `api_type` to 'read' if you want live content or 'manage' for drafts. The output is a clean JSON list ready for scripting.
You use `get_model_entry_details` and must provide the specific revision ID. This tool returns all field values associated with that unique content model entry, allowing your pipeline to process granular data.
Yes, use `create_cms_entry`. You only need to supply the single model name and a JSON object with field values. This automatically writes the entry into the system's draft queue for later review or publishing.
Execute `execute_graphql_query`. You define the desired API type (e.g., 'preview') and pass your raw GraphQL string. This is ideal for running read-only queries against a staging environment without affecting live data.
Yes, `get_tenant_config` pulls the global system variables for your entire content platform. This ensures that any automated job running in your CI/CD pipeline uses the current, correct set of tenant parameters.

Start using the Webiny CMS MCP today

We host it, we monitor it, we maintain it. You just paste one token.

Built & Managed by Vinkius 30s setup 9 tools

We've already built the connector for Webiny CMS. Just plug in your AI agents and start using Vinkius.

No hosting. No infrastructure. No complex setup.
All 9 tools are live and waiting. You're up and running in seconds.

Claude Claude
ChatGPT ChatGPT
Cursor Cursor
Gemini Gemini
Windsurf Windsurf
VS Code VS Code
JetBrains JetBrains
Vercel Vercel
+ other MCP clients

Vinkius gives your AI agents access to the full catalog of app connectors, all fully managed, secure, and enterprise-ready. One subscription, every tool you need.

Zero hosting required Full MCP catalog included Enterprise-grade security Auto-updated by Vinkius

Built, hosted, and secured by Vinkius. You just connect and go.