Signal Agent MCP Server

@no0ktheali3n

Repository

Basic information

About Signal Agent MCP Server

MCP server / agent concept for signals interpretation and processing

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

Signal Agent MCP Server config

Add this server to your MCP-compatible client using the configuration below.

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

Signal Agent MCP Server tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

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

Frequently asked questions

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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