hayhooks | SkillsLLM

hayhooks

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Easily deploy Haystack pipelines as REST APIs and MCP Tools.

137stars

34forks

Python

Added 12/27/2025

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MCP Serversaiapiapi-resthaystackllm

Installation

# Add to your Claude Code skills
git clone https://github.com/deepset-ai/hayhooks

README.md

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.
💬 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.

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# Install Hayhooks
pip install hayhooks

hayhooks run

from typing import AsyncGenerator
from haystack.components.agents import Agent
from haystack.dataclasses import ChatMessage
from haystack.tools import Tool
from haystack.components.generators.chat import OpenAIChatGenerator
from hayhooks import BasePipelineWrapper, async_streaming_generator


# Define a Haystack Tool that provides weather information for a given location.
def weather_function(location):
    return f"The weather in {location} is sunny."

weather_tool = Tool(
    name="weather_tool",
    description="Provides weather information for a given location.",
   ...