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loopsketch

mcp-bridge

by loopsketch
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mcp-bridge

这是一个在 Docker 中启动 MCP 服务器，并在内部调用 llama.cpp 的 OpenAI 兼容 API 的配置。

启动

docker compose up -d --build

Related MCP server: openai-tool2mcp

停止

docker compose down

连接地址

  • MCP 端点: http://localhost:8000/mcp

  • 传输方式: streamable-http

连接确认

即使返回 406，作为连通性确认也是正常的。 这是因为 MCP 端点需要 Accept 标头。

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

Claude Code 设置

Claude Code 的 MCP 由 ~/.claude.json 管理。

若要在本地范围（仅限特定项目）手动设置， 请将 client-config.example.json 的格式应用到 ~/.claude.json 中。

推荐：通过 CLI 添加

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

设置确认

claude mcp list
claude mcp get local-agent-helper

补充说明

  • 添加 --scope user 可在所有项目中使用。

  • 使用 --scope project 时，配置将保存到项目根目录下的 .mcp.json 中。

环境变量

可以将 .env.example 复制为 .env 后使用。

  • MCP_TRANSPORT (默认: streamable-http)

  • FASTMCP_HOST (默认: 0.0.0.0)

  • FASTMCP_PORT (默认: 8000)

  • LLAMA_CPP_SERVER_URL

  • LLAMA_CPP_SERVER_MODEL

  • LLAMA_CPP_SERVER_TIMEOUT

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