Airtable
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Integrates AI assistants with Airtable databases to perform data management, including CRUD operations and file uploads.
About
An MCP server designed to empower AI assistants with comprehensive interaction capabilities for Airtable databases. It facilitates seamless execution of various operations, from basic CRUD (Create, Read, Update, Delete) actions on records and bases to more advanced functionalities like batch processing, smart upserts, and the crucial ability to upload files to cloud storage (S3/GCS) and link them as Airtable attachments. This integration allows AI-driven workflows to manage and manipulate Airtable data efficiently, making it a powerful bridge between AI assistants and your structured data in Airtable.
Key Features
- Perform CRUD (Create, Read, Update, Delete) operations on Airtable records
- List and inspect Airtable bases and tables
- Retrieve records with advanced filtering, sorting, and field selection
- Get detailed Airtable base schema information
- Upload files to S3/GCS and format for Airtable attachment fields
- 0 GitHub stars
Use Cases
- Enable AI assistants to manage and manipulate data within Airtable databases.
- Allow AI to create or update Airtable records with attached files from cloud storage.
- Automate data entry, updates, and querying processes in Airtable using AI-driven workflows.
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