SeaTable

@SeaTable list all rows from the 'Customer Feedback' table where Status is 'Open', sorted by Priority descending.

Found 14 open feedback entries in the Customer Feedback table. The highest-priority items include: 'Mobile app crashes on Android 13' (Priority: High, submitted 2024-01-15), 'Export feature missing CSV option' (Priority: High, submitted 2024-01-12), and 'Dashboard load time over 5 seconds' (Priority: Medium, submitted 2024-01-10). All rows include customer email, submission date, category tags, and assigned team member. This represents the first page; use offset parameters if more than 100 rows exist.

This example uses Query Rows with SQL under the hood to filter and sort. The MCP requires a read-write API token scoped to the specific base; read-only tokens will fail on write operations. SeaTable's SQL dialect supports WHERE, ORDER BY, and LIMIT but not JOINs—linked records appear as comma-separated IDs.

@SeaTable append a new row to 'Project Tasks' with Name='Q1 budget review', Assignee='sarah@example.com', Due Date='2024-02-15', and Status='Not Started'.

Successfully appended 1 row to the Project Tasks table. The new task 'Q1 budget review' has been assigned to sarah@example.com with a due date of February 15, 2024, and initial status 'Not Started'. SeaTable assigned row ID '_row_abc123def456'. Column names matched the base schema exactly; the operation completed in 340ms. Note that any automation rules or webhooks configured in SeaTable will fire for this new row.

Append Rows writes immediately and triggers SeaTable automations (notifications, linked-row updates, formula recalculations). Column names are case-sensitive and must match the schema returned by Get Base Schema. Date fields accept ISO 8601 strings. If a required column is missing, the entire append fails—validate schema first for production workflows.

@SeaTable query the 'Sales Pipeline' table for total deal value grouped by Stage, then draft a one-paragraph executive summary of our current pipeline health.

Pipeline analysis shows $2.4M in total opportunity value across five stages: Prospecting ($320K, 18 deals), Qualification ($580K, 12 deals), Proposal ($740K, 8 deals), Negotiation ($510K, 5 deals), and Closed Won ($250K, 3 deals). The pipeline is front-loaded, with 62% of value still in early stages; conversion velocity from Proposal to Closed Won averages 45 days based on recent activity. Executive summary: Our Q1 pipeline remains healthy at $2.4M, but the concentration of deals in Prospecting and Qualification suggests we should prioritize mid-funnel acceleration to hit the $800K quarterly target—particularly the eight Proposal-stage opportunities worth $740K.

This example chains SQL aggregation (SUM, GROUP BY) with AI reasoning. The MCP runs a read-only SELECT query, returns structured data, and the AI synthesizes it into prose. Query performance depends on base size; tables over 50K rows may hit SeaTable's 30-second timeout. Always scope queries with WHERE clauses when possible to reduce load.

When SeaTable beats Airtable for support triage at 10-person scale

A 10-person support team logs tickets in SeaTable and routes them by severity and product area during daily standups. The MCP's SQL query tool lets the AI filter tickets by status, assignee, and date range in one call, then append follow-up rows or update priority fields without leaving the chat. This works because SeaTable's per-base API token scopes write access tightly—one token per workspace, no risk of cross-contamination. The threshold: if your team needs real-time collaboration or complex automations, Airtable's richer ecosystem wins. But if you want a lightweight table with fast read-write from AI and don't need 50 integrations, SeaTable's eight-tool kit is enough. Set up one base, one token, and let the AI handle the grunt work of ticket updates during triage.

SeaTable for small-team event checklists with file attachments

A 4-person nonprofit runs a quarterly fundraiser and tracks tasks, vendor contracts, and photo assets in a SeaTable base. The MCP's append and update tools let the AI add new checklist rows mid-conversation, while the download-link tool surfaces signed contracts or event photos without manual export. This scenario wins because SeaTable handles file attachments natively and the SQL tool can pull overdue tasks or budget rollups on demand. The trade-off: if your event grows past 30 vendors or you need calendar sync, a dedicated project tool like Asana or Notion has better mobile and timeline views. But for a small team that wants one shared table, fast AI edits, and attachment access in chat, SeaTable's API-key auth and eight-tool surface area hit the sweet spot. One base, zero ceremony.

When a solo consultant should use SeaTable for client hours and invoices

A solo design consultant logs billable hours, project milestones, and invoice status in a SeaTable base with one table per client. The MCP's list and query tools let the AI pull this month's hours or outstanding invoices in seconds, and the update tool marks invoices paid without opening the web UI. This works because the per-base token model means one workspace per client—clean separation, no accidental cross-client data leaks. The boundary: if you bill more than 10 clients or need automated invoice generation, a proper accounting tool like QuickBooks or FreshBooks is the right call. But for a freelancer who wants a lightweight table, fast AI lookups, and the ability to append time entries from Slack or email, SeaTable's eight tools cover the workflow. One token, one base, done.