Sourcetable Superagents – Connect Any Spreadsheet to a Database, API or MCP Server

TL;DR

TL;DR: Sourcetable Superagents connects a spreadsheet to any database, API, or MCP server, letting you query Postgres, Stripe, Google Analytics and more using natural language — no SQL or code required.

Source and Accuracy Notes

⚠️ This section is MANDATORY. All links must be verified from actual source, not guessed.

• Project page: sourcetable.com/superagents
• Source last checked: 2026-06-30 (current main branch)
• License: Verify before publishing — source repository not confirmed

What Is Sourcetable Superagents?

Sourcetable Superagents is an extension of the Sourcetable platform that lets you connect a spreadsheet interface to external data sources — databases, APIs, and MCP servers — and query them using natural language. Instead of writing SQL or building ETL pipelines, you type a question in plain English and the AI translates it into a live query against your connected source.

The platform supports Postgres, MySQL, MongoDB, Google Analytics, Stripe, and any API or MCP server you wire up. Query results populate directly into the spreadsheet, where you can pivot, filter, and summarize them like any other sheet data.

Setup Workflow

Step 1: Create a free Sourcetable account

Sign up at sourcetable.com. The base spreadsheet is free to use; AI query credits are usage-limited on the free plan.

Step 2: Add a data source

From the dashboard, click Sources and select your target:

• Database: Postgres, MySQL, MongoDB — enter connection credentials
• API: Paste an OpenAPI spec or define endpoints manually
• MCP Server: Connect to any MCP-compatible server via its URL

Step 3: Create a Superagent

Navigate to Superagents in the sidebar. Click New Superagent, choose your connected source, and start typing queries in natural language.

Example prompts:

Show me daily revenue from Stripe for the last 30 days
List all users who signed up via Google Analytics in Q2
Summarize PostgreSQL inventory counts by product category

The Superagent translates your question into a query, executes it against the source, and returns results as spreadsheet rows.

Step 4: Build reports

Once data is in the sheet, use Sourcetable built-in pivots and charts to visualize results. Export to Excel or Google Sheets if needed.

Practical Evaluation Checklist

• [ ] Connected a test Postgres database successfully
• [ ] Ran a natural language query against Stripe payment data
• [ ] Verified MCP server connection works end-to-end
• [ ] Confirmed query results update in real-time
• [ ] Checked free tier AI credit limits

FAQ

Q: Is the base spreadsheet actually free? A: Yes. Sourcetable’s spreadsheet is free to use like Google Sheets. AI-powered features (including Superagent queries) have per-month credit limits. Upgrade to Pro for more credits.

Q: Does it support Google Sheets as a data source? A: The base platform can read/write Google Sheets. Superagents extends this to databases and APIs.

Q: What MCP servers are compatible? A: Any server that exposes the standard MCP protocol over HTTP. You provide the server URL during setup.

Q: Is the underlying AI query translation accurate for complex SQL? A: For straightforward SELECT/FILTER/GROUP queries, accuracy is high. Very complex joins across multiple sources may require manual SQL refinement.

Conclusion

Sourcetable Superagents bridges the gap between spreadsheet familiarity and live data infrastructure. If your team knows Excel but needs to query a production database or SaaS API without involving engineering, this reduces the friction significantly. The natural language layer is the key value — it sidesteps SQL entirely for common read-only queries. Worth evaluating if you have non-technical team members who need direct data access.