- MISSING
- INVALID
- HUMAN
- VALID
Short answer
Can my AI check if my Webiny CMS entries are complete?
Yes. Your agent uses the connector to pull entry lists and specific details to check for missing fields or incorrect data across different locales. You'll get a clear list of what's missing or broken.
Where every issue lands.
Audit outcomes
The AI categorizes findings based on what it finds during the scan.
MISSING
Empty required fields
The AI identifies entries where mandatory data is missing. You get a list of specific models and locales that need attention.
INVALID
Incorrect data types
The agent flags entries that don't match your expected format or schema. This helps catch typos or wrong values.
HUMAN
Manual review needed
When the AI finds ambiguous data, it marks it for you. You decide if the entry is actually wrong or just looks odd.
VALID
Passed the scan
Entries that meet all your criteria are marked as clean. You can trust these are ready for production.
The workflow
What your AI does when the audit starts.
The agent follows a logical path from broad scanning to deep inspection.
Identify target entries
The agent pulls a list of all entries within your chosen model to establish a baseline.
list_model_entriesInspect specific data
The agent looks inside each entry to check the actual values of every field.
get_model_entry_detailsCompare against rules
The agent checks the retrieved data against your specific requirements for that locale or model.
get_model_entry_detailsReport the gaps
The agent summarizes which entries failed the check and why they are considered incomplete.
list_model_entries
Try it
Copy these to start.
Use these prompts to kick off your audit.
Starting points
Replace the model names and locales with your actual Webiny CMS configuration.
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"
}
}
}Scan the 'BlogPosts' model in the 'en-US' locale and tell me if any required fields are empty.
Check all entries in the 'ProductCatalog' model to see if the 'price' field is populated.
List all entries in the 'Navigation' model and flag any that are missing a label.
Audit the 'HeroBanner' model for the 'fr-FR' locale and find entries with missing images.
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Start here
Connect Webiny CMS once, then ask.
Just link your account once. Your credentials stay encrypted, and you can immediately start asking your agent to scan your content.
Connect Webiny CMS to your AIFAQ
How the audit behaves
- 01
Can the AI fix the missing entries for me?
No. The AI can only read and inspect your data. You have to go into Webiny CMS to make the actual changes.
- 02
Will the AI delete any of my content?
No. The tools provided only allow the AI to list and get details. It has no capability to delete or modify entries.
- 03
Can I audit specific locales?
Yes. You can tell your agent to focus on a specific locale like 'en-GB' or 'de-DE' during the scan.
- 04
How does the AI know what a 'required' field is?
You must tell the AI what the requirements are in your prompt. It uses the data it retrieves to check against your instructions.
- 05
Does this work for all my models?
Yes, as long as the models exist in your Webiny CMS, the AI can access them to perform the audit.
More questions about Webiny CMS? The Connector page answers them. See everything the Webiny CMS Connector can do
Connect Webiny to Claude, Cursor, ChatGPT & more
