by deepset-ai · MCP Server · ★ 148
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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 and -- 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. 📈 Trace Hayhooks lifecycle actions with OpenTelemetry
| Stars | 148 |
| Forks | 36 |
| Language | Python |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 68.3510284318435/100 |
| Open Issues | 10 |
| Last Updated | 2026-07-29 |
| 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 36 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.
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