# hayhooks

> hayhooks — deepset-ai-hayhooks. Use this tool when you need to deploy Haystack pipelines as REST APIs and MCP Tools, simplifying the process of integrating AI models into larger applications and workflows. It solves problems of complex deployment and integration, providing a straightforward interface for git-based pipeline management. With hayhooks, users can easily input their pipeline configurations and output functional REST APIs and tools.

Canonical page: https://skillsregistry.net/skills/deepset-ai-hayhooks  
JSON: https://api.skillsregistry.net/v1/skills/deepset-ai-hayhooks

## Description

Easily deploy Haystack pipelines as REST APIs and MCP Tools.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-06-18

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** devops-ci
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/deepset-ai/hayhooks)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "deepset-ai-hayhooks"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/deepset-ai-hayhooks` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/deepset-ai-hayhooks/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt