# mcp-performance-review

> mcp-performance-review — pipeworx-io-mcp-performance-review. Use this tool when you need to automate performance reviews using Git data, solving problems of manual review processes and inefficient feedback loops. It takes X-API-Key as input and outputs performance review data, utilizing StupidAPIs for seamless integration. Ideal for use cases where streamlined performance evaluation is crucial, such as regular team assessments or project retrospectives.

Canonical page: https://skillsregistry.net/skills/pipeworx-io-mcp-performance-review  
JSON: https://api.skillsregistry.net/v1/skills/pipeworx-io-mcp-performance-review

## Description

performance-review MCP — wraps StupidAPIs (keyless — no credential needed)

## Trust

- **Trust score (0–1):** 0.99
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** other
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/pipeworx-io/mcp-performance-review)

## 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": "pipeworx-io-mcp-performance-review"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/pipeworx-io-mcp-performance-review` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/pipeworx-io-mcp-performance-review/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