$ loading_
Manage Airtable records, bases, tables, fields, and webhooks via MCP.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Airtable MCP Server" yet — see the docs or source repo.
Use the Airtable MCP Server to inspect records in a specific table and bulk update the status field based on conditions.
Returns the record query results and completes bulk updates for matching records.
Use the Airtable MCP Server to list all tables and fields in this Airtable base and organize them into a checklist.
Outputs a structured list of bases, tables, and fields for review or organization.
Use the Airtable MCP Server to inspect current webhooks and help me add or adjust webhook configurations.
Returns existing webhook details and completes the requested creation or update.
Developers, product managers, or data analysts can use this MCP tool to let AI directly query and manage Airtable records, reducing manual work. It fits workflows that frequently update tabular data.
When a team needs to review the tables and fields in a base, this tool helps inspect the structure in one place. It is useful for data audits, naming checks, or migration preparation.
When you need automated processing based on Airtable events or configurations, this tool can help manage webhooks. It is suitable for using Airtable as a data node in business workflows.
It is an MCP server for the Airtable API. It provides 18 tools to manage records, bases, tables, fields, and webhooks.
Based on the provided description, it can manage records, bases, tables, fields, and webhooks. For the exact tool coverage, see the source repository.
The provided material does not include installation steps or prerequisites. For setup, authentication requirements, and runtime details, see the source repository.
Connect to Airtable to search, create, read, and update records automatically.
Manage, analyze, validate, import, and export Airtable data more efficiently.
Manage MySQL databases with natural language for queries, CRUD, and monitoring.
Auto-generate MCP servers so AI can query data sources without code.
Manage leads, pipeline stages, client interactions, and reports for freelance sales workflows.
Manage MySQL databases safely with bulk operations, monitoring, and backups.