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AI repository intelligence
FR-AI / ANALYSISWhy it is worth attention
It enables air-gapped, privacy-preserving AI by bridging Ollama and MCP without cloud dependencies, with a tiny footprint (single dependency) and built-in handling of Gemma's thinking mode to ensure reliable tool calls.
Who it is for
- Developers building local AI assistants with tool integration
- Privacy-conscious users requiring no-cloud AI inference
- Organizations needing air-gapped or on-premise AI solutions
- Users of Korean public-sector MCP servers (law search and document generation)
Use cases
- Running a local AI that can search legal statutes and generate official documents via MCP tools
- Deploying a private AI assistant inside an offline network without internet access
- Prototyping multi-tool AI workflows using a single Ollama model
- Exposing an HTTP API for other applications to query a tool-capable local model
Strengths
- 100% local inference; no cloud or API keys required for the LLM
- Single runtime dependency (@modelcontextprotocol/sdk) – minimal overhead
- Supports both interactive CLI and programmatic library usage
- Automatically disables Gemma's thinking mode to ensure tool calls fire reliably
Considerations
- Requires Node.js 20+, Ollama with a tool-capable model, and MCP servers configured via stdio
- Offline setup requires manual mirroring of model files, npm packages, and source code
- Firewall or network restrictions may block MCP server outbound calls (e.g., to law.go.kr)
README quick start
Quick start
Description
로컬 Ollama(gemma 등)로 korean-law-mcp·kordoc 같은 여러 MCP 서버를 동시에 돌리는 호스트. 클라우드 API 없이 내부망/오프라인 동작.
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