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loopsketch

mcp-bridge

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mcp-bridge

Docker로 MCP 서버를 실행하고 내부에서 llama.cpp의 OpenAI 호환 API를 호출하는 구성입니다.

시작

docker compose up -d --build

Related MCP server: openai-tool2mcp

정지

docker compose down

연결 대상

  • MCP 엔드포인트: http://localhost:8000/mcp

  • 전송 방식: streamable-http

연결 확인

406이 반환되는 경우에도 도달 확인으로서는 정상입니다. MCP 엔드포인트가 Accept 헤더를 전제로 하기 때문입니다.

curl -i http://localhost:8000/mcp

Claude Code 설정

Claude Code의 MCP는 ~/.claude.json에서 관리됩니다.

로컬 스코프(특정 프로젝트만)에서 수동으로 설정하는 경우, client-config.example.json의 형식을 ~/.claude.json에 반영하십시오.

권장: CLI로 추가

claude mcp add --transport http local-agent-helper http://localhost:8000/mcp

설정 확인

claude mcp list
claude mcp get local-agent-helper

보충

  • --scope user를 붙이면 모든 프로젝트에서 이용 가능합니다.

  • --scope project를 사용하면 프로젝트 직하의 .mcp.json에 저장됩니다.

환경 변수

.env.example을 .env로 복사하여 사용할 수 있습니다.

  • MCP_TRANSPORT (기본값: streamable-http)

  • FASTMCP_HOST (기본값: 0.0.0.0)

  • FASTMCP_PORT (기본값: 8000)

  • LLAMA_CPP_SERVER_URL

  • LLAMA_CPP_SERVER_MODEL

  • LLAMA_CPP_SERVER_TIMEOUT

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