Connect your account, then chat with AI to run tools.
Point Gumroad Ping at MCPBundles and inspect sale notifications in chat.
Try this workflow
Last Gumroad sale
From the latest ping payload in export.json, read sale_id, email, product_name, price, and refunded status.
Opens MCPBundles Studio with this server selected. After sign-in, chat and run tools from the same thread.
Browse all toolsBuilt for
Creators, Indie Sellers, Digital Products
Last Gumroad sale
Interprets urlencoded sale fields normalized to JSON.
From the latest ping payload in export.json, read sale_id, email, product_name, price, and refunded status.
Dedupe sales
Uses stable sale ids from stored payloads.
List recent deliveries and flag duplicate sale_id plus resource_name pairs across captured_at timestamps.
How do I connect Gumroad deliveries to MCPBundles?
Save a connection on MCPBundles, copy the hosted ingest URL from the credential panel, and paste it into Gumroad where Ping 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 Gumroad Webhook — workflow patterns, data models, and gotchas for your AI agent.
Gumroad Ping posts purchase and refund notifications as application/x-www-form-urlencoded form fields. Storage normalizes each POST to flat JSON in export.json. Nested objects — variants, custom_fields, url_params, shipping_information, and card — arrive as bracketed keys (for example custom_fields[name]) and appear as nested objects after normalization. Tools read what already landed; there is no way to trigger a new ping or change Gumroad state from here.
Read these from export.json rather than assuming fixed column names:
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 Gumroad where Ping 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/gumroad-webhook. Authentication is handled automatically.
Gumroad 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.
Gumroad Webhook uses API Key. Gumroad Webhook requires credentials. Connect via MCPBundles and authentication is handled automatically.
Connect Gumroad Webhook to any MCP client in minutes
https://mcp.mcpbundles.com/bundle/gumroad-webhookThe link prefills the Add custom connector dialog — you still review the values and click Add, then Connect to complete OAuth.
Gumroad 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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