SeekTable

@SeekTable list all reports in my account and show me which ones are based on the 'Sales Analytics' cube

Found 12 saved reports in your SeekTable account. 4 reports use the 'Sales Analytics' cube: 'Q4 Revenue by Region' (ID: rpt_8x3k), 'Monthly Sales Trends' (ID: rpt_9m2p), 'Product Performance Dashboard' (ID: rpt_4n7q), and 'Sales Rep Leaderboard' (ID: rpt_1j5w). The remaining 8 reports are connected to other cubes including 'Customer Behavior' and 'Inventory Tracking'. This example illustrates typical account metadata; your actual report list will vary.

This read operation requires only basic API key authentication and makes a single request to SeekTable's API. The List Reports tool returns report metadata but not the underlying data—you'll need the Export Report tool to retrieve actual query results. Response time depends on the number of saved reports in your account.

@SeekTable export the 'Monthly Sales Trends' report as a CSV file so I can analyze it in our data pipeline

Exported 'Monthly Sales Trends' (report ID: rpt_9m2p) to CSV format. The file contains 847 rows spanning January through November 2024, with columns for Month, Region, Product Category, Revenue, and Units Sold. The export completed in 3.2 seconds. This illustrative example shows a typical mid-sized dataset; actual export time and row count will depend on your report's date range and filters.

Export operations consume SeekTable API quota and may take longer for reports with complex aggregations or large date ranges. You must have the report ID from List Reports before exporting. SeekTable supports multiple export formats (CSV, Excel, JSON) but each format counts as a separate API call if you need multiple versions.

@SeekTable get the cube metadata for 'Sales Analytics' and summarize what dimensions and measures are available for building new reports

The 'Sales Analytics' cube (ID: cube_5k8m) contains 6 dimensions: Date (with Year/Quarter/Month hierarchy), Region, Product Category, Sales Rep, Customer Segment, and Channel. It includes 8 measures: Revenue, Units Sold, Average Order Value, Gross Margin, Customer Count, Orders, Returns, and Net Revenue. The cube is connected to a PostgreSQL data source and was last refreshed 4 hours ago. This summary helps you understand what analysis options are available without opening the SeekTable UI.

Cube metadata retrieval is useful for AI-assisted report planning—the model can suggest relevant dimensions and measures based on your analysis goals. However, this tool only returns schema information, not actual data values. Building new reports still requires using SeekTable's interface; the MCP provides read-only access to existing configurations.

When SeekTable wins for recurring board decks

A 6-person startup runs board meetings every Monday. The CFO maintains three SeekTable reports—revenue by cohort, burn rate, and CAC trends—that feed into the slide deck. The SeekTable MCP lets the team export all three reports in one Switchy prompt, then paste the CSVs into Google Sheets or reformat them for slides. This works because the reports are already built and stable; the MCP just automates the export step. If your reports change structure every week or you need live drill-down during the meeting, you're better off opening SeekTable directly. But for a fixed set of recurring exports, this MCP saves 10 minutes of clicking every Monday and keeps the workflow in one place.

When this MCP handles ad-hoc account queries

A 3-person CS team fields Slack questions like 'what's Acme Corp's usage last quarter?' They have a SeekTable cube that joins Stripe and product analytics. The MCP's List Reports and Export Report tools let the team search saved reports by name, then pull the data without leaving Switchy. This is faster than logging into SeekTable, finding the right report, and exporting manually. The trade-off: the MCP can't build new reports or modify cube definitions, so you need a library of pre-built reports that cover common queries. If your CS team asks novel questions every time, you'll still need the SeekTable UI. For repetitive lookups against a stable report set, the MCP turns a 2-minute task into a 10-second prompt.

When SeekTable MCP streamlines one-time data pulls

A 10-person Series A company prepares investor updates every quarter. The finance lead needs to pull 8 different SeekTable reports—ARR breakdown, churn cohorts, sales pipeline—and compile them into a memo. The MCP's List Reports tool surfaces all available reports by name, then Export Report fetches each one in CSV or JSON. This beats opening SeekTable 8 times and clicking through export dialogs. The boundary: if you need to tweak report filters or add a new metric mid-prep, the MCP can't help; you'll need the full SeekTable interface. For pulling a known set of reports in batch, the MCP cuts 20 minutes of manual export work and keeps the entire prep flow inside Switchy.