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Codemend MCP Server

Connects AI tools directly to Codemend production error monitoring to list, analyze, and resolve software crashes. It enables users to retrieve AI-generated fixes and automatically open GitHub pull requests to address production issues.

Unscored visibility — 0/0 applicable dimensions scored
○ Schema Quality ○ Protocol — Reliability ○ Docs & Maintenance ○ Security Hygiene — Schema Interpretability
A remote probe is needed for Protocol and Reliability scores.
Schema Quality
25% weight
Protocol Compliance
20% weight
Reliability
20% weight
Docs & Maintenance
15% weight
Security Hygiene
20% weight
30-Day Trend

30-Day Uptime

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