MCP For Claude Marketplace
Webiny CMS

Webiny CMS MCP Connector for Claude

A+

Manage content models, entries, and GraphQL workflows on Webiny — the enterprise open-source headless CMS.

9 tools Official Updated Jun 28, 2026 Official Vinkius Partner
More Details Connect to Claude

Connect your Webiny CMS instance to any AI agent and manage your headless content infrastructure through natural conversation.

What you can do

  • Content Lifecycle — Create, update, publish, and delete content entries for any model directly from your agent
  • Model Discovery — List all entries for specific content models and browse available data structures using introspection
  • Advanced GraphQL — Execute raw GraphQL queries or mutations for custom logic and complex nested data operations
  • Revision Control — Retrieve specific entry details by ID to inspect metadata and field-level property values
  • API Management — Discover available types, fields, and models in your current environment through automated introspection
  • Global Config — Verify high-level tenant settings and configurations to ensure your CMS environment is healthy
  • Multi-Locale Support — Seamlessly manage content across different language locales (e.g., en-US, pt-BR)

How it works

  1. Subscribe to this server
  2. Enter your Webiny API Domain and Access Token
  3. Start managing your content models through Claude, Cursor, or any MCP-compatible client

No more manual JSON drafting in GraphQL playgrounds. Your AI agent becomes your content operations manager.

Who is this for?

  • Content Managers — update and publish entries across multiple models and locales without manual data entry
  • Headless Developers — test GraphQL queries and verify content model introspection through chat
  • Marketing Teams — quickly browse content items and verify publication status for different campaigns
  • CMS Administrators — monitor tenant settings and audit content revisions through simple commands
graphql-apicontent-modelingserverlesscontent-lifecycledata-structuresopen-source

9 tools expose this connector's capabilities to your AI agent.

create_cms_entry

Provide the singular model name and field data as a JSON object. Creates a new draft entry for a content model

delete_cms_entry

This action is irreversible. Permanently deletes a content entry revision

execute_graphql_query

Specify api_type (manage, read, preview) and locale. Executes a raw GraphQL query or mutation against the Webiny CMS API

get_api_introspection

Retrieves the GraphQL schema introspection for the Webiny instance

get_model_entry_details

ID refers to the specific revision. Retrieves details for a specific content model entry

get_tenant_config

Retrieves global settings for the Webiny tenant

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

publish_cms_entry

Provide the specific revision ID. Publishes a draft entry, making it available via the "read" API

update_cms_entry

Provide the entry ID and a JSON object containing the field updates. Updates fields of an existing content entry revision

See how to talk to your AI agent using Webiny CMS.

List all entries for the 'BlogPosts' model in en-US.

I found 8 entries in 'BlogPosts': 1. 'Introduction to Headless CMS' (ID: post-1), 2. 'Getting Started with Webiny' (ID: post-2), 3. 'GraphQL Best Practices' (ID: post-3), and 5 others. Which one would you like to see details for?

Create a new 'Author' entry: { 'name': 'John Doe', 'bio': 'Tech Writer' } in en-US.

Success! I've created a new draft entry for 'Author' (ID: auth-999) with the provided details. Would you like me to publish it now?

Publish the entry with ID 'post-123' for model 'Article'.

I've successfully published the 'Article' entry (ID: post-123). It is now live and accessible via your Read API. Is there anything else you'd like to update?

Yes. The `publish_cms_entry` tool 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.

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