Signal Agent 🚨
MCP server / agent concept for signals interpretation and processing
Overview
What is Signal Agent?
Signal Agent is a production-ready server and client system designed for intelligent failure event processing using the Model Context Protocol (MCP). It transforms raw failure events into actionable intelligence through automated classification, severity analysis, and response recommendations.
How to use Signal Agent?
To use Signal Agent, clone the repository from GitHub, set up a Python virtual environment, and run the demo or server using provided commands. The system can be tested with the MCP Inspector for interactive tool testing.
Key features of Signal Agent?
- Production-ready architecture compliant with MCP standards.
- Intelligent analysis pipeline for event classification and severity assessment.
- Multiple deployment modes including integrated demo, server-only, and agent-only.
- Comprehensive logging and debugging support.
Use cases of Signal Agent?
- Automating incident response in enterprise operations.
- Enhancing development workflows with monitoring integration.
- Providing learning and research examples for MCP protocol implementation.
FAQ from Signal Agent?
- Can Signal Agent process all types of failure events?
Yes! Signal Agent is designed to handle various operational categories including database, network, and security events.
- Is Signal Agent free to use?
Yes! Signal Agent is open-source and available for free on GitHub.
- What programming language is Signal Agent built with?
Signal Agent is built using Python 3.8 and above.
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