- SCHEMA
- STRUCTURE
- VIEWS
- HUMAN
Short answer
How can I audit my Bitable structure using AI?
Your AI client uses this MCP to pull field definitions and table metadata. You'll get a clear map of your database organization to find missing fields or naming errors. This breakdown shows you exactly how your schema is built.
Audit outcomes
What you'll find
The specific insights your agent gathers from your Bitable base.
SCHEMA
Field maps
The AI pulls every field definition and type. You'll see exactly which columns exist and what data they hold.
STRUCTURE
Table organization
Your agent lists all tables in the base. This helps you spot redundant tables or broken relationships.
VIEWS
View settings
The AI inspects how your data is filtered and sorted in different views. You'll know how your data is being presented.
HUMAN
Manual fixes
The AI identifies the mess, but you still have to go into Feishu to fix the actual field names or delete tables.
The workflow
What your AI does when the request arrives.
The AI moves through your Bitable base to build a structural map.
Identify the base
The agent first grabs the high-level details of your Bitable base to understand the context.
get_base_infoMap the tables
It scans the base to find every individual table you've created.
list_tablesInspect field definitions
The AI looks inside each table to see the specific fields and their data types.
list_fieldsCheck view settings
It pulls the configuration for your various views to see how data is being grouped or filtered.
list_views
Try it
Copy these to start.
Use these prompts to begin your audit.
Starting points
Replace the bracketed text with your actual Bitable base name or ID.
Feishu Bitable Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_ZDYCEa7d3aYXJBCmsjkg5e6RMme2jxpQ1ciBtzx1/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 — Feishu Bitable capabilities are ready to use.
{
"mcpServers": {
"feishu-bitable-mcp": {
"url": "https://edge.vinkius.com/vk_preview_ZDYCEa7d3aYXJBCmsjkg5e6RMme2jxpQ1ciBtzx1/mcp"
}
}
}List all the tables in my 'Project Tracker' Bitable base.
What are the field names and types in the 'Inventory' table?
Show me all the views configured in my 'Sales CRM' base.
Audit the 'Customer Leads' table and tell me if any field names are inconsistent.
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Start here
Connect Feishu Bitable once, then ask.
Click the link to connect your account. Your credentials stay encrypted, and you can immediately start asking questions about your Bitable data in your preferred AI client.
Connect Feishu Bitable to your AIFAQ
How this task behaves
- 01
Can the AI change my field names?
No. This MCP only provides read access to your metadata. You must make any structural changes manually in Feishu.
- 02
Can the AI delete a table?
No. The AI can only list and inspect your tables. It has no permission to delete or modify your data.
- 03
Does the AI see the actual data inside the rows?
This specific audit workflow focuses on field definitions and table structures, not the individual records within the rows.
- 04
How does the AI know which base to look at?
You tell the AI which base to inspect by naming it or providing its ID in your prompt.
- 05
Can I use this with Cursor?
Yes, as long as you are using an MCP-compatible client like Cursor.
More questions about Feishu Bitable? The Connector page answers them. See everything the Feishu Bitable Connector can do
Connect Feishu Bitable to Claude, Cursor, ChatGPT & more
