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Access Airtable and Google Sheets via GraphQL for natural language data work.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "BaseQL MCP Server" yet — see the docs or source repo.
Connect to my Airtable or Google Sheets source and use natural language to find records added in the last 30 days, then group and count them by status.
A list of matching records plus grouped counts by status.
Inspect this data source schema, list all tables, field names, and field types, and point out fields that are useful for filtering.
A clear schema overview with key fields highlighted for filtering.
Find the record for customer name "Acme", update the follow-up status to "Contacted", and return the updated result.
The target record is found, updated, and returned with the new values.
Data analysts or product managers can ask questions directly against Airtable or Google Sheets to quickly inspect records, filters, and simple summaries without writing complex queries.
Developers can access data stored across Airtable and Google Sheets through GraphQL, making it easier to integrate into tools, agents, or internal workflows.
When a team needs to verify a record or update a field status, they can use natural language to locate, review, and manage records.
It provides GraphQL access to Airtable and Google Sheets data, and supports natural language workflows for data exploration, schema inspection, and record management.
Based on the description, it supports Airtable and Google Sheets. For connection details, permissions, or limitations, refer to the source repository.
The provided information does not include installation steps or clearly state whether API keys, accounts, or a runtime are required. Please refer to the source repository for details.
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