Paddle MCP Server
Audit international merchant-of-record (MoR) sales, monitor global sales tax compliance, and track payouts.
Quick Answer / TL;DR
The Paddle MCP server establishes a secure, local or remote JSON-RPC 2.0 communication tunnel, allowing AI models (like Claude or Cursor) to automatically discover and execute capabilities (tools, prompts, and resources) within the Paddle ecosystem with extremely low latency.
Key Takeaways
- Analyze global product demand
- Track payout completions
- Audit transaction tax allocations
Core Integration Concept
Connecting the model to Paddle bypasses complex setup. The LLM can auto-discover what endpoints are active, what input variables are expected, and how answers will be delivered.
Verified Use Cases
Setup Overview
Connection Setup Checklist
- Prepare Credentials: Obtain your Paddle Vendor Auth credentials directly from your Paddle settings.
- Update Config: Add the executable tool command structure directly to your Claude config file.
- Restart & Confirm: Reload the desktop model client to complete the connection handshake sequence.
Sample Connection Schema
{
"jsonrpc": "2.0",
"method": "tools/call",
"params": {
"name": "execute_paddle",
"arguments": {
"query": "status_check"
}
},
"id": 1
}Security Considerations
To guarantee perfect data isolation, safeguard the Paddle Vendor Auth credentials. Always run integrations in sandboxed contexts to block unsolicited access.
Best Practices
- Configure exact resource boundaries for the MoR transaction lookup feature.
- Configure exact resource boundaries for the Global tax tracking feature.
- Configure exact resource boundaries for the Payout reports feature.
- Configure exact resource boundaries for the Billing alerts feature.
Required Auth Keys
Paddle Vendor Auth
Deploy Paddle Server
Deploy this Paddle integration to our global edge container cluster. Zero DevOps, instant SSE.
Related Connectors
Paddle - FAQ
Contextual information and technical support details regarding Model Context Protocol integration