Signal Agent 🚨

by no0ktheali3n

214 downloads

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About

MCP server / agent concept for signals interpretation and processing

Details

Author: no0ktheali3n
Downloads: 214
Categories: AI

- 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

Setting up with Highlight

This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:

Download and install Highlight from highlightai.com/download
Navigate to the plugins tab and select "Add Custom Plugin"
Configure the plugin with the settings below

Plugin Name Signal Agent 🚨

Command (node, npx, python, etc.)

Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
Enable "Start Automatically" if you want the plugin to start when Highlight launches

Setting up with Cursor

Open Cursor's settings
Navigate to the MCP section
Click "Add new Global MCP server"
Copy and paste the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "signal agent \ud83d\udea8": {
            "signals-agent": {
                "command": "uv",
                "args": [
                    "venv"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "signal agent \ud83d\udea8": {
            "signals-agent": {
                "command": "uv",
                "args": [
                    "venv"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "signal agent \ud83d\udea8": {
            "signals-agent": {
                "command": "uv",
                "args": [
                    "venv"
                ]
            }
        }
    }
}

Setting up with Claude Desktop

Open Claude Desktop's settings
Go to the Integrations tab
Click "Add MCP Server"
Use the configuration below based on your operating system

Note: Make sure Claude Desktop is running before attempting to connect.

JSON

{
    "mcpServers": {
        "signal agent \ud83d\udea8": {
            "signals-agent": {
                "command": "uv",
                "args": [
                    "venv"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "signal agent \ud83d\udea8": {
            "signals-agent": {
                "command": "uv",
                "args": [
                    "venv"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "signal agent \ud83d\udea8": {
            "signals-agent": {
                "command": "uv",
                "args": [
                    "venv"
                ]
            }
        }
    }
}

Setting up with Windsurf

Open Windsurf's preferences
Go to the Integrations section
Click "Add MCP Integration"
Use the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "signal agent \ud83d\udea8": {
            "signals-agent": {
                "command": "uv",
                "args": [
                    "venv"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "signal agent \ud83d\udea8": {
            "signals-agent": {
                "command": "uv",
                "args": [
                    "venv"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "signal agent \ud83d\udea8": {
            "signals-agent": {
                "command": "uv",
                "args": [
                    "venv"
                ]
            }
        }
    }
}

Setting up with Cline

Open Cline's settings
Navigate to the Integrations section
Click "Add MCP Server"
Copy and paste the configuration below based on your operating system

Note: Make sure to restart Cline after adding the configuration.

JSON

{
    "mcpServers": {
        "signal agent \ud83d\udea8": {
            "signals-agent": {
                "command": "uv",
                "args": [
                    "venv"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "signal agent \ud83d\udea8": {
            "signals-agent": {
                "command": "uv",
                "args": [
                    "venv"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "signal agent \ud83d\udea8": {
            "signals-agent": {
                "command": "uv",
                "args": [
                    "venv"
                ]
            }
        }
    }
}

Setting up with Goose

Open Goose's preferences
Go to the Integrations tab
Select "MCP Servers"
Click "Add New Server"
Use the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "signal agent \ud83d\udea8": {
            "signals-agent": {
                "command": "uv",
                "args": [
                    "venv"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "signal agent \ud83d\udea8": {
            "signals-agent": {
                "command": "uv",
                "args": [
                    "venv"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "signal agent \ud83d\udea8": {
            "signals-agent": {
                "command": "uv",
                "args": [
                    "venv"
                ]
            }
        }
    }
}

From the repository

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.

Claude Desktop / Cursor

Paste into your MCP client config file to install this server.

{
    "mcpServers": {
        "signal agent \ud83d\udea8": {
            "signals-agent": {
                "command": "uv",
                "args": [
                    "venv"
                ]
            }
        }
    }
}

McpServers

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

Signal Agent 🚨

Intelligent Failure Event Processing via Model Context Protocol (MCP)

A production-ready MCP server and client system that transforms raw failure events into actionable intelligence through automated classification, severity analysis, and response recommendations.

🎯 What is Signal Agent?

Signal Agent demonstrates the power of the Model Context Protocol (MCP) for building intelligent automation systems. It processes failure events through a sophisticated analysis pipeline that:

- 🔍 Analyzes failure event content using keyword-based severity assessment
- 📊 Classifies events into operational categories (database, network, security, etc.)
- 💡 Generates appropriate response recommendations
- 📋 Formats human-readable summaries for operational teams

✨ Key Features

🏗️ Production-Ready Architecture

- Standards-compliant MCP implementation using official SDK - Robust input validation with Pydantic schemas - Comprehensive error handling and logging - Transport-agnostic design (stdio for development, HTTP for production)

🧠 Intelligent Analysis Pipeline

- Multi-stage event processing with validation and enrichment - Keyword-based severity recalculation independent of source assessment - Operational classification for proper incident routing - Contextual recommendations based on severity and event type

🔧 Developer Experience

- Multiple deployment modes (integrated demo, server-only, agent-only) - MCP Inspector compatibility for interactive testing - Comprehensive logging and debugging support - Clear separation of concerns between transport and business logic

Component Architecture

┌─────────────────┐    MCP Protocol    ┌──────────────────┐
│   Signal Agent  │◄──────────────────►│  Signal Server   │
│   (Client)      │     stdio/HTTP     │   (MCP Server)   │
│                 │                    │                  │
│ • Event Loading │                    │ • Tool Registry  │
│ • Result Display│                    │ • Event Analysis │
│ • Demo Workflow │                    │ • Classification │
└─────────────────┘                    └──────────────────┘

Transport Evolution

Development (Current)

- Transport: stdio - Use Case: Local development, testing, MCP Inspector integration - Benefits: Simple, reliable, no network dependencies

Production (Future)

- Transport: HTTP (streamable-http) - Use Case: Distributed systems, enterprise deployment - Benefits: Network scalability, multiple clients, load balancing

Analysis Pipeline

1. Input Validation → Pydantic schema enforcement
2. Severity Analysis → Keyword-based recalculation
3. Event Classification → Operational categorization
4. Recommendation → Context-aware response generation
5. Formatting → Human-readable summary creation

Extensibility Points

- Analysis Functions: Easy to add new classification patterns
- Transport Layer: Pluggable transport implementations
- Tool Registry: Simple addition of new MCP tools
- Response Formatting: Customizable output formats

🚀 Quick Start

Prerequisites

- Python 3.8+ - uv (modern Python package manager) - just

Installation

git clone https://github.com/no0ktheali3n/signal-agent.git
cd signal-agent
uv venv
.venv/Scripts/activate
just compile
just sync

Run the Demo

```bash

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About

Details

Jump to

Setting up with Highlight

From the repository

Claude Desktop / Cursor

McpServers

Signal Agent 🚨

🎯 What is Signal Agent?

✨ Key Features

🏗️ Production-Ready Architecture

🧠 Intelligent Analysis Pipeline

🔧 Developer Experience

Component Architecture

Transport Evolution

Development (Current)

Production (Future)

Analysis Pipeline

Extensibility Points

🚀 Quick Start

Prerequisites

Installation

Run the Demo

Install

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