Atlas / MCP servers / deepset-ai / Hayhooks

HayhooksSAFE

Name: Hayhooks
Author: deepset-ai

mcp/deepset-ai/hayhooks

MCP server by deepset-ai · ai · api · api rest · Audited 2026-10-07

⚑ Report / re-scan Source ↗

Easily deploy Haystack pipelines as REST APIs and MCP Tools.

Verdict

SAFE

Grade

Trust score

89 /100

Exposed tools

7 7r · 0w · 0d

Transport

streamable-http

License

Apache-2.0

Stars

152

Overview

From the repository's own README, as read at the audited commit. Badges and raw HTML are left out.

Serve [Haystack](https://haystack.deepset.ai/) Pipelines and Agents as production APIs:REST, OpenAI-compatible chat, MCP, A2A, and durable executions that survive restarts.

[](https://pypi.org/project/hayhooks) [](https://pypi.org/project/hayhooks) [](https://github.com/deepset-ai/hayhooks/actions/workflows/docker.yml) [](https://github.com/deepset-ai/hayhooks/actions/workflows/tests.yml)

**Documentation** · Quick start · Durable execution · Examples

Write a small Python wrapper around your Pipeline or Agent, and Hayhooks turns it into typed endpoints, streaming chat backends, and agent-to-agent tools. When the work outlives a request, a restart, or a deploy, run it as a durable execution: checkpointed in Redis, resumable on any replica, and able to wait for a human.

📦 REST APIs from Python Every wrapper or YAML pipeline becomes typed, validated endpoints with OpenAPI docs, file uploads, and custom routes.

♻️ Durable executions Checkpoints, retries, human approval, cancellation, and restart recovery for long-running Pipelines and Agents. Learn more

💬 OpenAI-compatible chat Streaming /chat/completions and /responses backends for Open WebUI, or an embedded Chainlit UI with

Read from source at commit 96ecad8532a5OBSERVED · 2026-10-07

Connect

Built from this server's own package name, version and transport as found in its source — not copied from anyone's documentation, so it cannot drift against a page we do not control. Replace the environment placeholders with a token scoped to the least it needs.

claude-code

claude mcp add dashboard --env APP_API_KEY=${APP_API_KEY} --env DURABLE_REDIS_KEY_PREFIX=${DURABLE_REDIS_KEY_PREFIX} --env OPENAI_API_KEY=${OPENAI_API_KEY} -- npx -y [email protected]

claude-desktop

{
  "mcpServers": {
    "dashboard": {
      "command": "npx",
      "args": [
        "-y",
        "[email protected]"
      ],
      "env": {
        "APP_API_KEY": "${APP_API_KEY}",
        "DURABLE_REDIS_KEY_PREFIX": "${DURABLE_REDIS_KEY_PREFIX}",
        "OPENAI_API_KEY": "${OPENAI_API_KEY}"
      }
    }
  }
}

Exposed tools (7)

7 read · 0 write · 0 destructive.

Tool	Risk	Description
`get_weather`	read
`read_file`	read	Read a text file from disk given its absolute or relative path.
`read_uploaded_file`	read	Retrieve the contents of a file previously uploaded via the /v1/files endpoint, given its file_id.
`server_get_weather`	read	Get current weather for a city via Open-Meteo. Returns temperature, humidity, wind speed and condition.
`suggest_activities`	read
`weather_tool`	read	Provides weather information for a given location.
`work`	read	Complete one step

Trust audit

SAFEgrade B · trust 89/100 Nothing in the source contradicts what it says it does. Grade A is reserved for packages that have also passed the behavioural sandbox.

Layer	What it checks	Result
L0	Provenance & inventory	PASS
L1	Static analysis of the code	PASS
L2	Instruction surface (what it tells the agent)	PASS
L3	Class-specific surface	PASS
L4	Behavioural (sandbox)	SKIPPED

What the source does

Filesystem: declared (4 observation(s))
Network: declared (6 observation(s))
Shell: none-observed
Dependencies: not all pinned
Secrets in source: none-found