Skip to main content
Glama

MemOS-MCP

by qinshu1109
Apache 2.0
3
  • Linux
  • Apple
Dockerfile.simple876 B
# MemOS轻量级容器化配置 # 基于Python 3.12 slim镜像,适合个人部署 FROM python:3.12-slim # 设置工作目录 WORKDIR /app # 安装系统依赖 RUN apt-get update && apt-get install -y \ gcc \ && rm -rf /var/lib/apt/lists/* # 复制依赖文件 COPY requirements.txt . # 安装Python依赖 RUN pip install --no-cache-dir -r requirements.txt # 复制应用代码 COPY . . # 创建数据目录 RUN mkdir -p memos_data memos_data/backups memory_archives # 设置环境变量 ENV PYTHONPATH=/app ENV QDRANT_HOST=localhost ENV QDRANT_PORT=6335 # 暴露端口 EXPOSE 8000 # 健康检查 HEALTHCHECK --interval=30s --timeout=10s --start-period=5s --retries=3 \ CMD python -c "from mvp_memory import create_mvp_memory_manager; m = create_mvp_memory_manager(); print(m.test_connection())" || exit 1 # 启动命令 CMD ["python", "memos_cli.py"]

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/qinshu1109/memos-MCP'

If you have feedback or need assistance with the MCP directory API, please join our Discord server