Settra
Allows agents to use tabular files selected from Google Drive (Sheets, CSV, Excel, and Parquet) as data sources, synchronizing them into PostgreSQL for durable snapshots and governed queries.
Allows Google Sheets files to be synchronized into PostgreSQL as durable snapshots, which agents can discover and query through a governed semantic layer.
Serves as the managed destination for synced tabular data, storing durable snapshots that agents can query through Settra's governed semantic layer without raw SQL or source credentials.
Settra lets you ask a business question, save the answer as a data artifact, and rerun it as the data changes. Each artifact keeps the sources, definitions, parameters, and execution steps behind the answer so your team can share it and build on it.
Start with one business question
Ask a question about the data your team already works with. Review the answer and the definitions behind it, save it as a data artifact, then rerun it as the data changes. Share the artifact with your team and build on it instead of recreating the same work in every conversation.
Related MCP server: mcp-data-lens
Open source and self-hostable
Settra is open source under the Apache License 2.0. Use the managed service or run it in your own infrastructure.
For questions or support, visit settra.io/support.
This server cannot be deployed
Maintenance
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The all-in-one data stack for agents. Upload files, run SQL, evolve tables, and render charts.
The grounded data layer for any LLM: governed SQL, metrics, lineage and catalog over your data.
Query your warehouse or a CSV with Claude/ChatGPT over MCP, governed by table-level ACL + audit.
Software for your AI: company files, spreadsheets and rules, with per-person access and history.
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