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Query app deploys, errors, logs, uptime, and incidents in natural language.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "MOJAQ" yet — see the docs or source repo.
Using MOJAQ, review production errors from the last 24 hours, summarize them by service and error type, and highlight the 5 most severe issues with timestamps.
A summary of errors, a list of critical issues, and key details for further investigation.
Check the two hours after the most recent deployment for increased error rates, unusual logs, or reduced uptime, and give a conclusion.
The deployment time, related anomaly signals, and an assessment of whether the deployment likely caused the issue.
Based on current incidents, uptime, and error data in MOJAQ, create a short status brief for a product manager including impact scope and current status.
A non-technical incident brief suitable for sharing risks and current progress.
Query Moka recruiting data through read-only MCP tools for AI assistants.
Give AI read-only logs to debug Linux servers safely without shell access.
Production-ready MCP server for query normalization, retrieval, and RAG prompt building.
Investigate Datadog logs, metrics, traces, and incidents using natural language.
Connect AI assistants to MojaWave for SMS sending and bulk job management.
Use natural language to manage work across Jira, Confluence, Gmail, Drive, and Slack.