Connect your account, then chat with AI to run tools.
Connect Knowi scheduled report webhooks and query stored exports in chat.
Knowi Webhook is used here only to identify this integration; MCPBundles is not affiliated with or endorsed by Knowi Webhook or its owner.
Live probe refreshed Sep 18, 2026 · Endpoint host mcp.mcpbundles.com
Built for
Analytics Teams, BI Engineers
Last scheduled export
Uses stored tabular or JSON report content.
From the latest Knowi delivery, read export.rows headers and first row values, or export.json dataset keys when the payload is JSON.
Connect Knowi Webhook to any MCP client in minutes
You’ll sign in to MCPBundles when your client connects.
https://mcp.mcpbundles.com/bundle/knowi-webhookThis server needs a sign-in. MCPBundles handles that setup once — then chat here with saved access and a log of what ran.
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You’ll sign in to MCPBundles when your client connects.
https://mcp.mcpbundles.com/bundle/knowi-webhookThis server needs a sign-in. MCPBundles handles that setup once — then chat here with saved access and a log of what ran.
Opens MCPBundles Studio with this server selected. After sign-in, chat and run tools from the same thread.
Browse all toolsPDF vs CSV
Compares stored report formats and content.
List recent deliveries and say whether each stored filename looks like PDF or CSV, then summarize tabular preview rows when available.
How do I connect Knowi deliveries to MCPBundles?
Save a connection on MCPBundles, copy the hosted ingest URL from the credential panel, and paste it into Knowi where scheduled report webhook URLs are configured. 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 Knowi Webhook — workflow patterns, data models, and gotchas for your AI agent.
Knowi scheduled reports push dashboard and dataset exports on their upstream cadence — hourly, daily, weekday, or monthly. Each delivery is one stored report; columns, filenames, and shape depend on the dashboard or dataset the user scheduled. Tools read what already landed — there is no pull API and no way to trigger a new send from here.
Knowi webhook schedules typically POST:
Walk export.rows for column-level KPI questions on CSV parts. For JSON dataset objects, read keys from the latest export.json before quoting metric names.
Knowi may send multipart form data — separate parts for dashboard PDFs (application/pdf) and dataset CSVs (text/csv). When the upstream format is JSON instead of a file attachment, expect an object keyed by dataset name whose values are row arrays (field names match the scheduled dataset). Custom POST bodies may wrap conditional data or a short default message rather than full tabular rows — inspect export.json or export.text rather than assuming CSV headers.
PDF attachments store with limited tabular preview — prefer export.text or note binary content when the user asked about a dashboard PDF.
Start here
Knowi Wh Latest
Return the most recently stored report — tabular rows, raw text, or JSON depending on format.
Knowi Wh List
List recent stored reports — ids, capture time, filename, and format.
Knowi Wh Report
Return one stored report by report_id — full content with the same source/export envelope as latest report.
Knowi Wh Status
Connection status — whether any reports have landed, when the last file arrived, filename, and stored report count.
Save a connection on MCPBundles, copy the hosted ingest URL from the credential panel, and paste it into Knowi where scheduled report webhook URLs are configured. 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/knowi-webhook. Authentication is handled automatically.
Knowi 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.
Knowi Webhook uses API Key. Knowi Webhook requires credentials. Connect via MCPBundles and authentication is handled automatically.
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