How does Signal Agent 🚨 classify failure events?
It uses a keyword-based analysis pipeline that recalculates severity independently from the source, then classifies into categories like database, network, security, or service failure.
@no0ktheali3n
基本信息
MCP server / agent concept for signals interpretation and processing
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"signals-agent": {
"command": "uv",
"args": [
"venv"
]
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
A production-ready MCP server and client system that transforms raw failure events into actionable intelligence through automated classification, severity analysis, and response recommendations. It is designed for operations teams and developers handling incident response.
Install via git clone and use just compile/just sync. Run the demo with just run, the server with just run-server, or the agent with just run-agent. Test interactively using the MCP Inspector via npx @modelcontextprotocol/inspector uv run python server/server.py.
It uses a keyword-based analysis pipeline that recalculates severity independently from the source, then classifies into categories like database, network, security, or service failure.
Python 3.8+, the `uv` package manager, and the `just` command runner. The MCP official SDK and Pydantic are used internally.
Currently stdio for local development and testing. HTTP (streamable‑http) transport is planned for future distributed deployments.
Run the server standalone with `just run-server` and connect via MCP Inspector using `npx @modelcontextprotocol/inspector uv run python server/server.py`.
MIT License – see the LICENSE file in the repository.

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