Which integrations are available for this server?

Analyzes logback-formatted logs and configurations from Spring applications to detect code defects, filter application-specific stack traces, and generate automated repair suggestions.

How do I use MCP Logback Analyzer?

1. Click on "Install Server". 2. Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state. 3. In the chat, type @ followed by the MCP server name and your instructions, e.g., "@MCP Logback Analyzer analyze my error logs for defects and suggest code fixes" That's it! The server will respond to your query, and you can continue using it as needed. Here is a step-by-step guide with screenshots.

MCP 工具集合

基于 FastMCP 的 Model Context Protocol (MCP) 工具集合，提供日志分析与 Nacos 配置/服务状态检查能力。

✨ MCP 服务

log-analyzer
nacos-helper

📦 安装

从 PyPI 安装（推荐）

pip install mcp-logback-analyzer pip install mcp-nacos-helper

使用国内镜像源（国内用户推荐）

如果无法访问 PyPI 或下载速度慢，可以使用国内镜像源：

# 清华大学镜像（推荐） pip install -i https://pypi.tuna.tsinghua.edu.cn/simple mcp-logback-analyzer pip install -i https://pypi.tuna.tsinghua.edu.cn/simple mcp-nacos-helper # 阿里云镜像 pip install -i https://mirrors.aliyun.com/pypi/simple/ mcp-logback-analyzer pip install -i https://mirrors.aliyun.com/pypi/simple/ mcp-nacos-helper # 腾讯云镜像 pip install -i https://mirrors.cloud.tencent.com/pypi/simple mcp-logback-analyzer pip install -i https://mirrors.cloud.tencent.com/pypi/simple mcp-nacos-helper

从私有 PyPI 安装

pip install -i http://your-server:8080/simple/ mcp-logback-analyzer pip install -i http://your-server:8080/simple/ mcp-nacos-helper

从源码安装

git clone https://github.com/mengbi-super/MCP-TOOLS.git cd MCP-TOOLS pip install -r requirements.txt

🚀 快速开始

安装后请分别参考各组件的使用说明与配置示例。

📖 文档

详细文档请参考：

🛠️ 开发

本地开发

# 克隆仓库 git clone https://github.com/mengbi-super/MCP-TOOLS.git cd MCP-TOOLS # 安装开发依赖 pip install -e "packages/log_analyzer[dev]" pip install -e "packages/nacos_helper[dev]" # 运行测试 pytest

构建包

# 安装构建工具 pip install build twine # 构建 cd packages/log_analyzer python -m build cd ../nacos_helper python -m build

发布到 PyPI

# 在仓库根目录执行 py scripts/upload_to_pypi.py packages/log_analyzer py scripts/upload_to_pypi.py packages/nacos_helper

📄 许可证

MIT License

🤝 贡献

欢迎提交 Issue 和 Pull Request！

📧 联系方式

如有问题，请提交 Issue 或联系：mengbi1014@gmail.com

更多信息请查看 packages/log_analyzer/README.md

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MCP Logback Analyzer