# @shareworker/code-review-mcp

> @shareworker/code-review-mcp — shareworker-code-review. Use this tool when you need to streamline code reviews with consistency and accuracy, solving problems of inconsistent feedback and inefficient review processes. It takes in code files and review rules as inputs and outputs high-quality, deterministic review comments, eliminating the need for large language model (LLM) calls. Ideal for use in software development workflows where reliable and efficient code review is crucial.

Canonical page: https://skillsregistry.net/skills/shareworker-code-review  
JSON: https://api.skillsregistry.net/v1/skills/shareworker-code-review

## Description

Deterministic code review MCP server that provides tools for file selection, rule matching, comment positioning, and reflection, ensuring stable review quality without LLM calls.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/v7sqj9f0zh)
- **Repository:** <https://github.com/shareworker/code-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": "shareworker-code-review"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/shareworker-code-review` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/shareworker-code-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