harbor MCP Server
av/harbor
[](https://agentrank-ai.com/tool/av--harbor/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge) Stop configuring your AI stack. Start using it. One command brings a complete pre-wired LLM stack with hundreds of services to explore.
claude mcp add agentrank -- npx -y agentrank-mcp-server Overview
av/harbor is a Python tool licensed under Apache-2.0. Stop configuring your AI stack. Start using it. One command brings a complete pre-wired LLM stack with hundreds of services to explore. Topics: cli, docker, docker-compose, llm, tools, ai, self-hosted, tool, bash, container, local, npm, package, pypi, safetensors, mcp, automation, homelab, server.
Ranked #303 out of 81417 indexed tools.
In the top 1% of all indexed tools.
Has 3,240 GitHub stars.
Has 22 contributors.
Ecosystem
Score Breakdown
3,240 stars → well-known project
Last commit 10d ago → recently updated
131/181 issues closed → decent issue management
22 contributors → active community
No dependents → no downstream usage
1,075,427 weekly installs → widely installed
Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →
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[](https://agentrank-ai.com/tool/av--harbor/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge) <a href="https://agentrank-ai.com/tool/av--harbor/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge"><img src="https://agentrank-ai.com/api/v1/badge/av--harbor" alt="AgentRank"></a> Matched Queries
From the README
https://github.com/user-attachments/assets/e4897391-c5a8-4391-93c3-9f8b76155f11 Setup your local LLM stack effortlessly. ```bash # Starts fully configured Open WebUI and llama.cpp harbor up # Now, Open WebUI can do Web RAG and TTS/STT harbor up searxng speaches ``` Harbor is a CLI and companion app that lets you spin up a complete local LLM stack—backends like Ollama, llama.cpp, or vLLM, frontends like Open WebUI, plus supporting services like SearXNG for web search, Speaches for voice chat, and ComfyUI for image generation—all pre-wired to work together with a single `harbor up` command. No manual setup: just pick the services you want and Harbor handles the Docker Compose orchestration, configuration, and cross-service connectivity so you can focus on actually using your models. ## News - **v0.5.13** - `harbor models pull` no longer reports success when a model download actually failed, and the PrismML backend documents its two Bonsai 2 quants with measured speed and accuracy -Read full README on GitHub →
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