Connect your account, then chat with AI to run tools.
Point ThoughtSpot schedule webhooks at MCPBundles and read exports in chat.
Try this workflow
Liveboard export
From the latest ThoughtSpot delivery, read export.json metadata and summarize any export.rows column headers and first row.
Opens MCPBundles Studio with this server selected. After sign-in, chat and run tools from the same thread.
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Analytics Teams, BI Engineers, Operations
Liveboard export
Uses stored schedule payload and tabular preview.
From the latest ThoughtSpot delivery, read export.json metadata and summarize any export.rows column headers and first row.
Recent schedules
Compares stored report metadata across history.
List recent ThoughtSpot deliveries and compare captured_at with any schedule or liveboard names visible in export.json or filenames.
How do I connect ThoughtSpot deliveries to MCPBundles?
Save a connection on MCPBundles, copy the hosted ingest URL from the credential panel, and paste it into ThoughtSpot where Liveboard schedule webhook URLs are set. Your agent reads stored deliveries — latest, history, and content — in chat.
Can an agent trigger a new delivery?
No. Ingest is read-only. Data arrives when the upstream system sends it; agents query what already landed.
Domain knowledge for ThoughtSpot Webhook — workflow patterns, data models, and gotchas for your AI agent.
Deliveries land when a Liveboard schedule fires upstream. Each run is a LIVEBOARD_SCHEDULE event — often a JSON metadata envelope plus an export attachment (PDF, CSV, or XLSX). Tabular columns and KPI names vary by Liveboard, schedule, personalized view, and which visualizations were included; inspect each delivery rather than assuming a fixed schema.
When a run arrives as multipart, storage may hold separate records for the metadata JSON (payload) and the attachment file — correlate by nearby captured_at timestamps. Prefer the attachment for metrics; use the JSON for schedule name, Liveboard title, runId, fileFormat, recipients, optional viewInfo, and optional aiHighlights.
Return the most recently stored report — tabular rows, raw text, or JSON depending on format. Default starting point for current report questions.
List recent stored reports — ids, capture time, filename, and format. Follow with latest report or get report for full content.
Return one stored report by report_id — full content with the same source/export envelope as latest report.
Connection status — whether any reports have landed, when the last file arrived, filename, and stored report count. Includes the ingest URL only when ...
Save a connection on MCPBundles, copy the hosted ingest URL from the credential panel, and paste it into ThoughtSpot where Liveboard schedule webhook URLs are set. Your agent reads stored deliveries — latest, history, and content — in chat.
No. Ingest is read-only. Data arrives when the upstream system sends it; agents query what already landed.
Add the MCPBundles server URL to your MCP client configuration (Claude Desktop, Cursor, VS Code, etc.). The URL format is: https://mcp.mcpbundles.com/bundle/thoughtspot-webhook. Authentication is handled automatically.
ThoughtSpot Webhook provides 4 tools that can be called by AI agents, along with a SKILL.md that gives your AI agent domain knowledge about when and how to use them.
ThoughtSpot Webhook uses API Key. ThoughtSpot Webhook requires credentials. Connect via MCPBundles and authentication is handled automatically.
Connect ThoughtSpot Webhook to any MCP client in minutes
https://mcp.mcpbundles.com/bundle/thoughtspot-webhookThe link prefills the Add custom connector dialog — you still review the values and click Add, then Connect to complete OAuth.
ThoughtSpot Webhook and paste the MCP URL into Remote MCP server URL.Custom connectors at claude.ai require a paid Claude plan (Pro, Max, Team, or Enterprise).
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