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Observe analytics, errors, deploys, and automation for coding agents.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "Agentry.sh Observability" MCP server from askskill: Run: claude mcp add 'io-github-fr33dr4g0n-agentry-observability' -- npx -y @agentrysh/mcp
Summarize recent errors for me, grouped by type or trend, and highlight which issues should be prioritized first.
An overview of errors, major types or trends, and the issues that should be prioritized.
Check recent deployment records and tell me which deploys succeeded, failed, or need further attention.
A summary of recent deployment results with failed or abnormal deploys highlighted.
Using the available analytics data, give me a concise summary of the main recent changes in system or application performance.
A concise summary of key analytics metrics to quickly understand overall performance changes.
When issues occur, developers or DevOps engineers can let a coding agent read errors and analytics to quickly identify what deserves attention first. It is useful for organizing clues from observability data instead of checking everything manually.
After releases, teams can use this tool to let an agent inspect deployment-related information and determine whether recent deploys show failures or abnormal signals. This helps spot post-release risks faster.
When you want an agent to trigger automated workflows based on analytics, errors, or deploy information, this tool can serve as a single entry point. It fits engineering workflows that connect observability signals with follow-up actions.
It is an Agentry observability tool for coding agents, focused on analytics, errors, deploys, and automation. In other words, an agent can use it to access information related to engineering runtime and delivery status.
Based on the description, it is best suited for developers and DevOps teams, and it may also help people who need analytics visibility. For more specific usage scope, see the source repository.
The provided material does not include installation steps, runtime requirements, or key information. Please see the source repository for prerequisites.
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