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Push error logs, inspect code, and generate diagnostic reports automatically.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "diagnosis-service" yet — see the docs or source repo.
Analyze the service error logs I just uploaded, identify the most likely root cause, inspect relevant code snippets, and generate a diagnostic report with fix suggestions and troubleshooting priorities.
A diagnostic report containing an error summary, likely root cause, related code locations, fix recommendations, and troubleshooting steps.
Using the keyword "connection timeout" and the stack trace from the logs, search the related code implementation, identify modules that may cause the timeout, and summarize the risk points.
A list of relevant code files and functions, plus explanations and risk summaries for each suspected issue.
Summarize the error logs uploaded over the last week, classify them by error type, frequency, and affected service, and produce a diagnostic report with remediation recommendations.
A trend report organized by error category, including frequency statistics, impact scope, and remediation recommendations.
Automatically diagnose bugs through logs, call chains, and cross-platform code analysis.
Diagnose network and service issues using cURL timings and targeted recommendations.
Monitor GCP Java microservice logs and investigate issues with natural-language queries.
Run Akamai edge diagnostics and manage support cases through MCP.
Diagnose infrastructure issues with ports, DNS, logs, system health, and SSL checks.
Safely inspect, diagnose, and recover Dockerized services without host shell access.