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Stop configuring your AI stack. Start using it. One command brings a complete pre-wired LLM stack with hundreds of services to explore.

MCP Servers3.1k stars207 forksPythonApache-2.0Updated 3d ago
Editor's note

Harbor is a CLI tool and companion app that manages self-hosted LLM infrastructure through Docker Compose, letting users spin up pre-configured stacks of AI services with short commands like `harbor up`. It orchestrates backends such as Ollama, llama.cpp, and vLLM alongside frontends like Open WebUI, and supporting services including SearXNG for web search and Speaches for text-to-speech and speech-to-text. The project connects to Claude through an MCP server integration, meaning Claude Desktop and Claude Code can interact directly with locally running models and tools managed by Harbor. With hundreds of services available across dozens of Docker Compose files, the project targets homelab enthusiasts, self-hosting practitioners, and developers who want to run and compare local LLMs without manually wiring together each component. A notable detail is that a single `harbor up searxng speaches` command adds web retrieval-augmented generation and audio capabilities to an already-running Open WebUI instance.

ClaudeWave Trust Score
100/100
Verified
Passed
  • Open-source license (Apache-2.0)
  • Actively maintained (<30d)
  • Healthy fork ratio
  • Clear description
  • Topics declared
  • Mature repo (>1y old)
Last scanned: 6/11/2026
Install in Claude Code / Claude Desktop
Method: UVX (Python) · harbor
Claude Code CLI
claude mcp add harbor -- uvx harbor
claude_desktop_config.json (Claude Desktop)
{
  "mcpServers": {
    "harbor": {
      "command": "uvx",
      "args": ["harbor"]
    }
  }
}
1. Run the command above in your terminal (Claude Code), or paste the JSON config into claude_desktop_config.json (Claude Desktop).
2. Replace any <placeholder> values with your API keys or paths.
3. Restart Claude. The MCP server and its tools appear automatically.
💡 Package name inferred from the repository name. Verify it exists on PyPI, or clone https://github.com/av/harbor and follow its README.
Use cases

MCP Servers overview

README preview not available. Visit the repo on GitHub for full documentation.
aiautomationbashclicontainerdockerdocker-composehomelabllmlocalmcpnpmpackagepypisafetensorsself-hostedservertooltools

What people ask about harbor

What is av/harbor?

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av/harbor is mcp servers for the Claude AI ecosystem. Stop configuring your AI stack. Start using it. One command brings a complete pre-wired LLM stack with hundreds of services to explore. It has 3.1k GitHub stars and was last updated 3d ago.

How do I install harbor?

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You can install harbor by cloning the repository (https://github.com/av/harbor) or following the README instructions on GitHub. ClaudeWave also provides quick install blocks on this page.

Is av/harbor safe to use?

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Our security agent has analyzed av/harbor and assigned a Trust Score of 100/100 (tier: Verified). See the full breakdown of passed checks and flags on this page.

Who maintains av/harbor?

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av/harbor is maintained by av. The last recorded GitHub activity is from 3d ago, with 54 open issues.

Are there alternatives to harbor?

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Yes. On ClaudeWave you can browse similar mcp servers at /categories/mcp, sorted by popularity or recent activity.

Deploy harbor to your cloud

Ship this repo to production in minutes. Each platform spins up its own environment with editable env vars.

Maintain this repo? Add a badge to your README

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