by deepset-ai · MCP Server · ★ 148
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.
| Stars | 148 |
| Forks | 35 |
| Language | Python |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 68.3510284318435/100 |
| Open Issues | 10 |
| Last Updated | 2026-07-07 |
| Created | 2023-12-23 |
| Platforms | mcp, python |
| Est. Tokens | ~15k |
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hayhooks is Easily deploy Haystack pipelines as REST APIs and MCP Tools.. It is categorized as a MCP Server with 148 GitHub stars.
hayhooks is primarily written in Python. It covers topics such as ai, api, api-rest.
You can find installation instructions and usage details in the hayhooks GitHub repository at github.com/deepset-ai/hayhooks. The project has 148 stars and 35 forks, indicating an active community.
hayhooks is released under the Apache-2.0 license, making it free to use and modify according to the license terms.