dora_metrics_deep_dive

Active

declared in 0.2.0

Analyzes DORA metrics (Deployment Frequency, Mean Time to Recovery, Change Failure Rate) with deep correlation to code review patterns. Designed for CTOs to identify bottlenecks in software delivery pipelines. Inputs include GitHub repository identifiers and optional time ranges. Outputs structured metrics with trend analysis and code review depth insights.

Parameters schema

{
  "type": "object",
  "required": [
    "repo"
  ],
  "properties": {
    "repo": {
      "type": "string",
      "description": "GitHub repository in format 'owner/repo'"
    },
    "async": {
      "type": "boolean",
      "description": "If true, returns a job_id immediately (<200ms) instead of waiting for the result. Poll the result with job_result(job_id). Use for slow tools to avoid client timeouts."
    },
    "since": {
      "type": "string",
      "format": "date-time",
      "description": "Start date for analysis (ISO 8601)"
    },
    "until": {
      "type": "string",
      "format": "date-time",
      "description": "End date for analysis (ISO 8601)"
    },
    "branch": {
      "type": "string",
      "description": "Branch name to analyze (default: main)"
    }
  }
}

What this tool wraps· 0 endpoints

min confidence0.70 0.50

No endpoints wrapped at confidence ≥ 0.70.

Parent server

@gapup/mcp-knowledge

https://github.com/getgapup/gapup-mcp

2/7 registries

View full server →