Hayhooks

Hayhooks makes it easy to deploy and serve Haystack Pipelines and Agents.

With Hayhooks, you can:

- 📦 Deploy your Haystack pipelines and agents as REST APIs with maximum flexibility and minimal boilerplate code.
- 🛠️ Expose your Haystack pipelines and agents over the MCP protocol, making them available as tools in AI dev environments like Cursor or Claude Desktop. Under the hood, Hayhooks runs as an MCP Server, exposing each pipeline and agent as an MCP Tool.
- 🤝 Expose your Haystack pipelines and agents over the A2A protocol (pip install "hayhooks[a2a]"), so other agents can discover them through auto-generated agent cards and delegate tasks to them via hayhooks a2a run.
- 💬 Integrate your Haystack pipelines and agents with Open WebUI as OpenAI-compatible chat completion backends with streaming support.
- 🖥️ Embed a Chainlit chat UI directly in Hayhooks with pip install "hayhooks[chainlit]" and hayhooks run --with-chainlit -- zero-configuration frontend with streaming, pipeline selection, and custom UI widgets.
- 🕹️ Control Hayhooks core API endpoints through chat - deploy, undeploy, list, or run Haystack pipelines and agents by chatting with Claude Desktop, Cursor, or any other MCP client.
- 📈 Trace Hayhooks lifecycle actions with OpenTelemetry (pip install "hayhooks[tracing]") for deploy/run/undeploy visibility across REST and MCP, with a /dashboard UI via hayhooks run --with-tracing-dashboard (backed by a local live trace buffer).

Documentation

> 📚 For detailed guides, examples, and API reference, check out our comprehensive documentation.

Quick Start

1. Install Hayhooks

```bash