AI Test Failure Analyzer

Verified Integration

Author: @tracing•Category: ServerApplication

GitHub Repository

JSON-RPC 2.0

Protocol Standard

Sub-second

Execution Latency

Active

Operational Status

Client Configuration

— Connect AI Test Failure Analyzer to Claude Desktop or Cursor in seconds

{
  "mcpServers": {
    "ai-test-failure-analyzer": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-ai-test-failure-analyzer"
      ],
      "env": {}
    }
  }
}

Paste into ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows).

Architecture & Capabilities

System Overview

Automates root cause analysis for test failures across multiple frameworks by tracing git history, application logs, and configuration.

Indexed Date

7/21/2026

License

Open Source

Protocol Layer

stdio / SSE RPC

Frequently Asked Questions

Architecture and operational details for AI Test Failure Analyzer

The tool employs an 8-phase evidence pipeline. It parses test results, scans git history for high-risk commits, examines application logs for errors, and reads config files. This evidence is then cross-correlated to form ranked, confidence-scored hypotheses with `file:line` precision, citing specific evidence.

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