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hayhooks
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hayhooks

Active·★ 154·Apache-2.0·Updated 2026-10-16

Hayhooks allows deploying Haystack pipelines and agents as REST APIs with minimal boilerplate. It supports MCP protocol, Chainlit UI, Open WebUI integration, and OpenAI compatibility. It provides a CLI for easy management and file upload support.

#ai#api#api-rest#haystack#llm#mcp#mcp-server#mcp-servers
$ Install
$ pip install hayhooks
↗ Visit site★ GitHub
01

Features

01Easy deployment of Haystack pipelines and agents as REST APIs
02Support for MCP protocol to expose pipelines as tools
03Integrated Chainlit chat UI with streaming
04Open WebUI integration as OpenAI-compatible backend
05File upload support for RAG systems
02

Compatibility

Python
Python
Verified via docs
Docker
Docker
Verified via docs
03

Quick start

1
$ pip install hayhooks
04

Use cases

↳Deploy Haystack pipelines as REST APIs
↳Expose pipelines as tools in AI development environments like Cursor
↳Integrate with Open WebUI for chat completions
05

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On this page
01Features02Compatibility03Quick start04Use cases05Alternatives
deepset-ai /
hayhooks
↗

Easily deploy Haystack pipelines as REST APIs and MCP Tools.

154Apache-2.0
Last commit6d ago
StatusActive
CategoryWorkflow Automation
Links
Documentation↗Discussion↗Issues↗Releases↗
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