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Using AI agents to debug webhooks with MCP

Connect your coding agent to webhooks.cc for endpoint creation, signed test sends, request inspection, and replay workflows through MCP.

Feb 19, 20265 min read

MCP lets your coding agent call webhook tools directly: create endpoints, send test payloads, inspect captured requests, and replay to local targets. You can keep the whole debug loop in a single chat instead of switching between tabs.

Why MCP helps webhook debugging

  • Fast iteration: no manual copy/paste between tools.
  • Better context: the agent sees recent requests and can compare attempts.
  • Automation-friendly: the same flow can be reused in scripts and checks.

1. Set up MCP server

npx @webhooks-cc/mcp setup codex --api-key whcc_...

After setup, confirm your agent can call tools like create_endpoint,send_webhook, and list_requests.

2. Example debug workflow

Create an endpoint named stripe-debug.
Send a Stripe checkout.session.completed template to stripe-debug with secret whsec_dev.
Show the last 3 requests for stripe-debug.
Replay the latest request to http://localhost:3000/webhooks.

This sequence validates receive, inspect, and local handler behavior in one pass.

3. Use signed provider templates

The MCP send_webhook tool supports provider templates for Stripe, GitHub, Shopify, and Twilio. Pass provider, optional template, and a mock webhook secret to generate signature headers that match provider expectations.

Send a GitHub pull_request.opened template to repo-hooks with secret github_test_secret

4. Add guardrails

  • Use dedicated endpoints per integration under test.
  • Use test-only secrets, never production signing secrets.
  • Replay only to trusted local or staging URLs.

See the full tool list in the MCP docs.