About Harbor Cookbook
Harbor Cookbook is an MCP server in the Search category: realistic examples of building evals and optimizing agents with Harbor.
Install
git clone https://github.com/harbor-framework/harbor-cookbookThis server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.
Ask AI
Ask AI about Harbor Cookbook
Powered by Claude · Grounded in docs
Security checks
- ✓README presentThe repository ships documentation.
5 checks have not been run yet.
README
Harbor Cookbook
Realistic examples of building evals and optimizing agents using Harbor.
Getting Started
Install Harbor:
uv tool install harbor
Run any task recipe:
harbor run -p harbor_cookbook/recipes/<name> -a claude-code -m anthropic/claude-opus-4-6
Task Recipes
| Name | Description |
|---|---|
| simple‑task | Minimal single-container task. |
| multi‑container | Docker Compose task where the agent interacts with a locally hosted REST API. |
| mcp‑tools | Giving the agent custom tools via a locally hosted FastMCP server. |
| multi‑reward | Multiple independent verifiers each producing their own score. |
| simulated‑user | Agent discovers requirements by talking to a simulated user. |
| computer‑use‑ubuntu | Computer use reference implementation on an Ubuntu virtual desktop. |
| computer‑use‑windows | Computer use reference implementation on a remote Windows desktop (Daytona). |
| dns‑blacklisting | Network-level hostname blacklisting with exact, wildcard, and regex rules. |
| skills | Giving agents access to custom skills. |
| multi‑step | Ordered multi-step task with per-step instructions, tests, workdir uploads, healthcheck, early stopping, and per-step artifacts. |
Optimization Examples
| Name | Description |
|---|---|
| harbor‑rl | RL training on Harbor tasks using harbor.rl + Tinker. |
| gepa | Agent harness optimization for MedAgentBench using Harbor+GEPA. |
| tinker‑rl | RL training on Harbor tasks using the Tinker Cookbook integration. |
| prime‑rl | RL training on Harbor tasks using Prime RL and Verifiers. |
| sky‑rl | RL training on Harbor tasks using SkyRL. |
README copy captured when this server was indexed; it may lag the repository. The original is authoritative.