Debug Agents. Guard Tools. Catch Regressions.
Turn agent traces and MCP logs into clear, evidence-based reliability reports. Find failures, validate schemas, detect silent corruption and compare runs.

🧠 About AgentTrace
AgentTrace MCP is an AI agent reliability skill for analyzing tool-using agents, MCP workflows and multi-step runs. It transforms raw execution data into structured findings and actionable fixes.

⚙️ Four powerful modes
🔍 Audit — reconstruct and analyze agent runs.

🛡️ Guard — validate MCP schemas and tool calls.

📈 Regression — compare runs against baselines.

📦 Batch — detect recurring failures across runs.

🔥 Core capabilities
🔍 Trace Reconstruction
Turn raw logs and tool calls into a readable execution timeline.

🛡️ MCP Schema Validation
Find invalid arguments, missing fields, type errors and schema drift.

🚨 Failure Detection
Identify the first critical failure instead of only reporting the final error.

🕵️ Silent Corruption Detection
Catch subtle data, type, argument and tool-call problems.
📊 Regression Analysis
Compare current behavior with known-good baselines.
🎯 Perfect for
🤖 Agent debugging • 🛡️ MCP validation • 📈 Regression testing • 🔬 Reliability audits • 📦 Batch analysis • ⚙️ CI workflows

📊 Clear engineering reports
Get structured findings, metrics, risks, evidence and recommended actions in HTML, Markdown or JSON formats.