# Release Readiness Triage MCP

> Release Readiness Triage MCP — vola-trebla-release-readiness-triage-mcp. Use this tool when you need to assess the readiness of a release by aggregating and analyzing test failures, and cross-referencing flakiness history to determine a verdict. It solves problems of manual test failure analysis and flakiness identification, providing a streamlined release readiness evaluation process. The tool takes in test failure data and flakiness history as inputs and outputs a release readiness verdict, making it ideal for use in pre-release testing and quality assurance contexts.

Canonical page: https://skillsregistry.net/skills/vola-trebla-release-readiness-triage-mcp  
JSON: https://api.skillsregistry.net/v1/skills/vola-trebla-release-readiness-triage-mcp

## Description

MCP server that aggregates test failures, cross-references flakiness history, and outputs a release readiness verdict.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ucsae549qf)
- **Repository:** <https://github.com/vola-trebla/release-readiness-triage-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "vola-trebla-release-readiness-triage-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/vola-trebla-release-readiness-triage-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/vola-trebla-release-readiness-triage-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt