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Svix for AI Agents

Everything Svix builds to make AI agents good at webhooks: teaching them how to send and receive webhooks the way Svix's own engineers would, giving them tools to debug a broken delivery, and letting them receive webhooks without hosting a public HTTP server.

Three kinds of things live here:

What it is For
Skills Agent Skills: instructions that load into the agent's context on demand Coding agents (Claude, Cursor, …) writing or reviewing a Svix integration
MCP servers Tools an agent can call against a live Svix account Debugging real webhook deliveries from your editor

This repo is itself an Agent Plugins package: the plugin.json at the root packages the skills below for any conformant client.

Skills

Instructions an agent loads when it's about to touch Svix: planning an integration, wiring up the first webhook, reviewing an existing one, or writing a receiver. Two of them live in skills/, and that README has the full rundown.

Install them into any project:

npx skills add svix/ai

MCP servers

For more information, visit our docs

Personal Agent Plugins

Agent runtimes usually receive webhooks by exposing an inbound HTTP route, which means a public URL, an open port, or a tunnel. These plugins invert that: they poll a Svix sink with the SDK's AutoConfigConsumer and hand each message to the runtime exactly as an inbound POST would. Nothing listens, so they work from a laptop behind NAT or a locked-down network, and the buffer in front means events survive a restart.

  • svix-openclaw: OpenClaw plugin. Polled payloads become TaskFlow actions, or get POSTed to the gateway's /hooks/wake and /hooks/agent automation hooks.
  • svix-hermes: Hermes Agent gateway plugin. Each event flows through a route, prompt, and delivery pipeline, with responses going to a log, a GitHub comment, or any connected platform.

Each plugin's README covers install and configuration.

License

MIT

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Agent skils for integrating with the Svix Webhooks platform

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