Hayhooks MCP Server

@deepset-ai

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Basic information

About Hayhooks MCP Server

Easily deploy Haystack pipelines as REST APIs and MCP Tools.

#api #rest #ai #mcp#haystack#api-rest#llm #mcp-server #mcp-tools

Hayhooks MCP Server config

No standard config provided

This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.

Repository

Hayhooks MCP Server tools

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Overview

What is Hayhooks?

Hayhooks makes it easy to deploy and serve Haystack Pipelines and Agents as REST APIs, and expose them over the MCP (Model Context Protocol), A2A protocol, and OpenAI-compatible endpoints. It is designed for developers who want to integrate Haystack pipelines into AI development environments like Cursor or Claude Desktop with minimal boilerplate.

How to use Hayhooks?

Install with pip install hayhooks, then run hayhooks run. Create a pipeline wrapper class inheriting from BasePipelineWrapper, deploy it with hayhooks pipeline deploy-files -n <name> <directory>, and call the resulting HTTP endpoints or interact via MCP/A2A clients. Optionally add Chainlit UI with hayhooks run --with-chainlit or tracing with pip install "hayhooks[tracing]".

Key features of Hayhooks

Easy deployment of Haystack pipelines and agents as REST APIs
Expose pipelines as MCP tools for AI development environments
Support for A2A protocol for inter-agent discovery and task delegation
Embedded Chainlit chat UI with streaming and pipeline selection
OpenAI-compatible chat completion endpoints with streaming support
OpenTelemetry tracing with a local dashboard for lifecycle visibility

Use cases of Hayhooks

Deploy Haystack agents and pipelines as REST APIs for production use
Expose Haystack pipelines as MCP tools in Cursor or Claude Desktop
Integrate Haystack agents with Open WebUI as streaming chat backends
Build inter-agent workflows by exposing pipelines via the A2A protocol
Control Hayhooks core API endpoints by chatting with an MCP client

Frequently asked questions

How do I install Hayhooks?

Run `pip install hayhooks`. For additional features like A2A, Chainlit, or tracing, use `pip install "hayhooks[a2a]"`, `pip install "hayhooks[chainlit]"`, or `pip install "hayhooks[tracing]"` respectively.

What protocols does Hayhooks support?

Hayhooks supports REST, MCP, A2A, and OpenAI-compatible endpoints. It can expose pipelines as MCP tools, A2A agents, or chat completion backends.

Does Hayhooks have a chat UI?

Yes. Install with Chainlit support and run `hayhooks run --with-chainlit` to embed a zero‑configuration chat frontend with streaming, pipeline selection, and custom UI widgets.

Does Hayhooks support streaming?

Yes, the OpenAI-compatible `/chat/completions` endpoint supports streaming, and the Chainlit UI streams responses natively.

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