AI-Augmented Smart Contract Auditing: Building an Aderyn + MCP Pipeline That Catches What Manual Review Misses

AI-Augmented Smart Contract Auditing: Building an Aderyn + MCP Pipeline That Catches What Manual Review Misses Smart contract auditing has a dirty secret: most auditors spend 60–70% of their time on mechanical checks that a static analyzer could handle in seconds. The remaining 30–40% — where the real bugs hide — gets compressed into whatever time is left before the deadline. What if you could automate the mechanical part and get an AI to triage the results before you ever open the codebase? Enter Aderyn's MCP (Model Context Protocol) Server: a bridge between Cyfrin's Rust-based static analyzer and any LLM-powered agent. In this guide, I'll walk through building a practical AI-augmented audit pipeline that goes beyond "run tool, read report." The Problem With Traditional Static Analysis Workflows Here's how most security researchers use static analyzers today: # Step 1: Run the tool slither . --json report.json # Step 2: Open the report # Step 3: Manually triage 200+ findings # Step 4: