Direct Synopsis: This repository implements a Model Context Protocol (MCP) server for Fastly Signal Sciences. It lets AI agents easily synchronize, query, and map advanced security rules and event contexts.
What Core Problem Does This Solve?
Security teams often struggle to parse vast amounts of WAF data during active incidents, slowing down threat containment and resolution.
Key Benefit 1: Connects security state layers directly to AI agents using standard MCP protocols.
Key Benefit 2: Speeds up incident response by allowing AI assistants to query and update security rules in real time.
What is the Architecture and Tech Stack?
Component | Technology | Role in Demo |
Protocol Link | MCP Interface | Provides structured data schemas designed for AI ingestion |
Security Provider | Signal Sciences Engine | Supplies underlying WAF rule configurations and real-time alert logs |
How is This Solution Configured and Executed?
Status: Completed by Sai Kiao.
Repository: https://github.com/fastly/fastly-sigsci-edge-mcp/
What Are the Primary Sales Engineering Use Cases?
AI-Driven SecOps Demos: Shows modern security operation centers (SOCs) how AI agents can automate threat monitoring and mitigation.
Next-Gen WAF Workflows: Highlights programmatic management options for Signal Sciences deployments.