Integrate Webiny CMS with Claude, Cursor, Chatbots & AI Agents MCP Server
GDPR Free for SubscribersCompatible with every major AI agent and IDE
GeminiCreate cms entry on Webiny CMS
Provide the singular model name and field data as a JSON object. Creates a new draft entry for a content model
Delete cms entry on Webiny CMS
This action is irreversible. Permanently deletes a content entry revision
Execute graphql query on Webiny CMS
Specify api_type (manage, read, preview) and locale. Executes a raw GraphQL query or mutation against the Webiny CMS API
Get api introspection on Webiny CMS
Retrieves the GraphQL schema introspection for the Webiny instance
Get model entry details on Webiny CMS
ID refers to the specific revision. Retrieves details for a specific content model entry
Get tenant config on Webiny CMS
Retrieves global settings for the Webiny tenant
List model entries on Webiny CMS
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
Publish cms entry on Webiny CMS
Provide the specific revision ID. Publishes a draft entry, making it available via the "read" API
Update cms entry on Webiny CMS
Provide the entry ID and a JSON object containing the field updates. Updates fields of an existing content entry revision
Security & Code Integrity Audit
Every tool in the Webiny CMS MCP Server is continuously audited by the Vinkius Security Engine. We guarantee zero-trust payload isolation, strict data boundaries, and deterministic execution for enterprise-grade AI agents.
How Vinkius protects your data
Is there a risk of the AI "going crazy" and deleting important company data?
No. With Vinkius, the AI operates on "rails". It can only make the exact moves you authorized in the tool's settings. It cannot invent routes, access other networks in your company, or decide to delete random files. If the action isn't in the approved catalog, the attempt is blocked instantly.
Is it possible to see the entire GraphQL schema of my instance?
Absolutely. Using the get_api_introspection tool, 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.
What happens if the underlying API rate limits my agent?
Our edge infrastructure automatically handles backoffs, queueing, and throttling. If an AI agent sends too many erratic requests, Vinkius manages the rate limits gracefully, ensuring your backend doesn't crash.
Does the AI train on my tools or API data?
No. Vinkius enforces a strict Zero-Retention policy. Your data simply passes through our secure servers to complete the requested action and is instantly forgotten. Nothing you do here is ever stored, logged, or used to train any artificial intelligence.
How Chatbots Interact with Webiny CMS
Build automated workflows with Cursor and Claude Code by connecting to the Webiny CMS MCP server.
AI-Driven graphql api Workflows
Integrate Webiny CMS to access native graphql api capabilities. This allows LLMs to perform secure, deterministic execution of developer tools tasks without hard-coded API scripts.
The Future of content modeling
The Webiny CMS toolkit translates Claude's commands into content modeling operations. The MCP server ensures accurate delivery within the developer tools ecosystem.
Webiny CMS. Runs on everything.
From IDE to framework. Every connection governed by Vinkius.
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
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