- DISCOVERY
- VALIDATION
- AUTOMATION
- HUMAN
Short answer
How can I see my Webiny CMS GraphQL schema using AI?
Your agent uses introspection to pull the full list of types, queries, and fields from your Webiny environment. This allows it to understand exactly what data is available for your next request.
The outcomes
What your agent achieves.
Mapping the schema turns a blind agent into one that knows your content structure.
DISCOVERY
Full schema mapping
The agent pulls every available type and field. You get a clear picture of your content model.
VALIDATION
Query readiness
The agent confirms which fields exist before it tries to fetch data. This prevents broken queries.
AUTOMATION
Direct data fetching
Once the schema is known, the agent writes and runs its own queries to get the content you need.
HUMAN
Manual schema edits
The agent can read the schema but cannot change your Webiny configuration. You still handle the CMS setup.
The workflow
What your AI does when the schema request arrives.
The agent follows a loop of discovery and execution to interact with your CMS.
Map the schema
The agent requests the full introspection query to see the structure of your GraphQL API.
get_api_introspectionIdentify fields
It parses the returned types to find the specific queries and objects you want to work with.
get_api_introspectionConstruct queries
Using the discovered types, the agent builds a valid GraphQL query string.
execute_graphql_queryFetch content
The agent sends the query to your Webiny endpoint to retrieve the actual data.
execute_graphql_query
Try it
Copy these to start.
Use these prompts once you have connected the Webiny CMS MCP.
Starting points
These are ideas to get you moving. Swap out the specific content names for your own.
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"
}
}
}Inspect my Webiny CMS schema so you know what fields are available.
What types are available in my Webiny GraphQL API?
Run a query to get the latest blog posts from my Webiny environment.
Find the specific field for 'author' within the 'Post' type in my schema.
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Start here
Connect Webiny CMS once, then ask.
Just follow the link to connect your environment. Your credentials stay encrypted and secure, and you can immediately start asking questions about your data.
Connect Webiny CMS to your AIFAQ
How this task behaves.
- 01
Can the AI change my Webiny CMS schema?
No. The agent can only read the schema and execute queries. It cannot modify your types or fields.
- 02
Does the AI need me to provide the GraphQL schema manually?
No. The agent uses introspection to find the schema itself.
- 03
Can the AI delete content in my CMS?
No. These tools are limited to introspection and executing queries.
- 04
How does the agent know which fields to query?
It uses the information gathered during the introspection step to build valid queries.
- 05
Can I use this with any GraphQL API?
This specific connector is built for Webiny CMS environments.
More questions about Webiny CMS? See everything the Webiny CMS Connector can do
Connect Webiny to Claude, Cursor, ChatGPT & more
