Deploy Readiness Postmortem
Provides MCP access to functions for analyzing deployment readiness failures through structured postmortems. Captures incident details from CI/CD gates, performs root cause analysis, and generates reports. DevOps engineers and SREs use it to diagnose pre-deploy issues and refine pipelines.
Overview
The Deploy Readiness Postmortem MCP server enables programmatic execution of postmortems focused on deployment readiness checks. It processes data from failed CI/CD gates, such as security scans, performance benchmarks, or integration tests, to produce structured analyses that identify why deploys were blocked or risky.
Key Capabilities
No specific tools listed (N/A). The core functionality centers on the deploy-readiness-postmortem workflow, which:
- Ingests pipeline logs and gate failure data.
- Supports collaborative input for timelines and contributing factors.
- Outputs JSON reports with root causes, impact assessments, and action items. This integrates with MCP for AI-assisted analysis in development environments.
Use Cases
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Failed security gate: After a vulnerability scan blocks deploy, invoke deploy-readiness-postmortem with scan logs to trace false positives or config errors, then assign fixes.
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Performance regression: When benchmarks fail readiness checks, feed metrics into the postmortem to pinpoint code changes, updating tests for future gates.
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Integration test flakes: Analyze intermittent failures across services, documenting environmental factors and stabilizing pipelines.
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Historical review: Query past postmortems to detect patterns in readiness issues, informing gate reordering.
Who This Is For
SREs, DevOps engineers, and CI/CD platform maintainers who manage release processes. Suited for teams using GitHub Actions, Jenkins, or GitLab CI with automated deploy gates, seeking data-driven pipeline improvements.