Signal Agent MCP Server

@no0ktheali3n

リポジトリ

基本情報

カテゴリ

AI とエージェント

ライセンス

MIT license

トランスポート

stdio

作者

no0ktheali3n

Signal Agent MCP Server について

MCP server / agent concept for signals interpretation and processing

#signals-agent#failure-event-processing#mcp

Signal Agent MCP Server の設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "signals-agent": {
      "command": "uv",
      "args": [
        "venv"
      ]
    }
  }
}

Signal Agent MCP Server のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

What is Signal Agent 🚨?

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.

How to use Signal Agent 🚨?

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.

Key features of Signal Agent 🚨

Standards-compliant MCP implementation using official SDK
Robust input validation with Pydantic schemas
Multi-stage analysis pipeline (validation, severity, classification, recommendation)
Transport-agnostic design (stdio for dev, HTTP for production)
Multiple deployment modes: demo, server-only, agent-only
MCP Inspector compatibility for interactive testing

Use cases of Signal Agent 🚨

Incident response automation with intelligent event triage and routing
Monitoring integration for alerts from Sentry, Datadog, and similar tools
CI/CD enhancement with automated failure analysis and reporting
Learning reference for MCP protocol implementation patterns

よくある質問

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.

What are the runtime dependencies?

Python 3.8+, the `uv` package manager, and the `just` command runner. The MCP official SDK and Pydantic are used internally.

What transport does Signal Agent 🚨 use?

Currently stdio for local development and testing. HTTP (streamable‑http) transport is planned for future distributed deployments.

How can I test the server without a full demo?

Run the server standalone with `just run-server` and connect via MCP Inspector using `npx @modelcontextprotocol/inspector uv run python server/server.py`.

What license is Signal Agent 🚨 released under?

MIT License – see the LICENSE file in the repository.

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