- DATA RETRIEVAL
- USER AUDITS
- USER VERIFICATION
- HUMAN REVIEW
Short answer
How can I get user submission info through my AI?
Your agent uses the Feathery MCP to look up specific people or pull lists of users. You get immediate access to field values and historical data right in your chat window. This allows you to verify details or audit submissions instantly.
Data outcomes.
Where your data lands.
The AI handles the heavy lifting of searching through your Feathery records.
DATA RETRIEVAL
Instant field lookups
The AI pulls specific values from a user's submission. You get the exact data points you asked for without manual searching.
USER AUDITS
Full submission history
Your agent can list users to help you track patterns or find specific individuals. It organizes the history so you can see what was submitted.
USER VERIFICATION
Identity confirmation
You can check if a specific user exists and what they've sent. This makes verifying sign-ups or form entries a quick chat command.
HUMAN REVIEW
Flag for manual check
If the data looks inconsistent or incomplete, you decide if a human needs to step in. The AI provides the facts, but you make the call.
The workflow
What your AI does when you ask for data.
The AI acts as a bridge between your chat interface and your Feathery forms.
Identify the user
The agent first searches your records to find the right person based on the name or email you provide.
list_usersFetch specific details
Once the user is identified, the agent pulls the exact field values from their specific submission.
get_user_dataCompile history
The agent gathers multiple data points to give you a complete picture of that user's activity.
get_user_dataPresent findings
The agent formats the retrieved data into a readable response in your chat window.
get_user_datalist_users
Try it
Copy these to start.
Use these prompts to trigger the data retrieval process.
Starting points
These are basic starting points. Swap out the names and emails with the actual details you need to find.
Feathery Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_9L0PweKYBnvfzplpbtL5umJV9I07hLoTq9siaG16/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 — Feathery capabilities are ready to use.
{
"mcpServers": {
"feathery-mcp": {
"url": "https://edge.vinkius.com/vk_preview_9L0PweKYBnvfzplpbtL5umJV9I07hLoTq9siaG16/mcp"
}
}
}List all users from my Feathery forms.
Get the submission data for the user with email alex.smith@example.com.
Find the specific field values for the user named Jordan Lee.
Show me the historical submission details for the user with ID user_98765.
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Start here
Connect Feathery once, then ask.
Click the link below to link your account. Your login stays encrypted on our side, and you can find the full technical breakdown on the Connector page.
Connect Feathery to your AIFAQ
How this task behaves.
- 01
Can the AI change or delete user submissions?
No. The AI can only read and retrieve existing data. It cannot modify or delete any information in Feathery.
- 02
Can I ask the AI to create a new user?
No. This Connector is strictly for retrieving data. It does not have the tools to create or update records.
- 03
How does the AI find the right person?
The AI uses the user list to match the identifiers, like email or name, that you provide in your prompt.
- 04
Does the AI see all my form data?
The AI only accesses the data required to answer your specific request through the provided tools.
- 05
Can the AI export this data to a spreadsheet?
No. The AI provides the data directly in your chat interface. You would need to copy it manually if you want it in a sheet.
More questions about Feathery? See everything the Feathery Connector can do
Connect Feathery to Claude, Cursor, ChatGPT & more
