Airtable · Productivity
AIRTABLE_LIST_TABLES
List the tables (schema) in an Airtable base. Returns { tables: [{ id, name, primaryFieldId }] }.
- Provider
- Airtable
- Access
- Read
- Category
- Productivity
- Version
- v1
Input schema
{
"type": "object",
"properties": {
"baseId": {
"type": "string",
"description": "Airtable base ID (app…)."
}
},
"required": [
"baseId"
],
"additionalProperties": false
}How to call it
Expose this tool to any MCP-capable agent (Claude, GPT, or your own) through CybrLink's MCP server. The agent calls airtable_list_tables with arguments matching the schema above.
CybrLink validates the input, injects the connected Airtable credentials server-side, and runs a single scoped provider API call through the shared proxy — the same guarded path as the generic call_api tool. The raw secret never reaches the model, and the response is trimmed to just the fields the agent needs.
Frequently asked
- How do I let an AI agent airtable list tables?
- Connect Airtable to CybrLink, then expose the `airtable_list_tables` tool to any MCP-capable agent (Claude, GPT, or a custom framework). The agent calls it with typed arguments; CybrLink injects the Airtable credential server-side and runs one scoped API call. List the tables (schema) in an Airtable base. Returns { tables: [{ id, name, primaryFieldId }] }.
- Does the AI model see my Airtable credentials when using AIRTABLE_LIST_TABLES?
- No. CybrLink stores the credential in a token vault and injects it on the server for each call, so the model can read this data from Airtable without the OAuth token or API key ever entering its context.