Diagnose Dex MCP server health issues from cached pre-flight results and error queues.
npx skills add https://github.com/mengblom/dex-ghx --skill health-check-mengblom
Please help me install this Agent Skill. Skill: health-check Source: https://github.com/mengblom/dex-ghx/tree/main/.claude/skills/health-check Command: npx skills add https://github.com/mengblom/dex-ghx --skill health-check-mengblom
Health-check helps diagnose why Dex MCP tools or servers are failing, then recommends practical fixes so your system returns to working order.
Use case example: After updating Dex or starting a new session, some tools (like Work MCP task sync) fail—run health-check to pinpoint which MCP server is broken and what to do next.
Ask your AI to run the command /health-check to get a Dex Health Report and recommended fixes.
High-intent search queries and answers about installing and using this skill.
To diagnose failing MCP server tool calls, analyze cached pre-flight results and recent error queues to identify broken servers and map failures to actionable remediation steps. This process reads specific log files to recommend targeted fixes.
The best way to troubleshoot corrupted MCP configuration files is to run a health diagnostic that reads the error queue and maps JSON corruption or missing vault files to targeted repair workflows. It can optionally attempt safe configuration auto-fixes.
Dex system-start warnings occur when MCP servers fail pre-flight checks due to missing Python packages, broken config, or permission problems. A health diagnostic reads cached results to pinpoint the failing server and suggest targeted fixes.
Yes, you can automatically repair broken MCP servers by running a diagnostic that translates raw JSON logs and error queues into plain-language summaries. It identifies safe issues and optionally applies auto-fixes without exposing technical stack traces.
Yes, health diagnostics work for resolving MCP permission problems and missing Python packages by categorizing common failures from the error queue. It suggests targeted repair workflows and can run a fresh pre-flight re-check to verify the resolution.
The limitation of automated error triage for MCP server issues is that it relies on reading cached pre-flight results and error queues, meaning it cannot diagnose real-time failures outside the log files. Auto-fixes are also restricted to safe, predefined configuration issues.
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