This Airtable MCP server, developed by felores, enables AI assistants to programmatically manage Airtable bases, tables, fields, and records through a standardized interface. It provides tools for common operations like listing bases, creating/updating tables and fields, and performing CRUD operations on records. The server integrates directly with the Airtable API, abstracting away complexities to offer a simplified workflow for AI systems. By connecting AI capabilities with Airtable's flexible database structure, this implementation empowers AI assistants to handle tasks like data entry, analysis, and reporting within Airtable workspaces. It is particularly useful for applications requiring dynamic data management, collaborative workflows, or any scenario where an AI system needs to interact with structured data in Airtable.
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List all accessible Airtable bases.
List all tables in a specified base.
Create a new table with specified fields.
Update a table's name or description.
Add a new field to a specified table.
Modify an existing field in a specified table.
Retrieve records from a specified table.
Add a new record to a specified table.
Modify an existing record in a specified table.
Remove a record from a specified table.
Find records in a specified table that match given criteria.
Retrieve a single record by its ID from a specified table.