# article-review-mcp

> article-review-mcp — biogod2020-article-review-mcp. Use this tool when you need to review and validate article patches with precision, as it enables categorized commenting, interactive decision-making, and final article assembly. It solves problems of patch validation, comment organization, and article editing, providing a visual interface for inputs such as article patches and comments, and outputs including validated patches and assembled articles. Ideal for use in content review and editing workflows, it streamlines the process of refining and finalizing articles.

Canonical page: https://skillsregistry.net/skills/biogod2020-article-review-mcp  
JSON: https://api.skillsregistry.net/v1/skills/biogod2020-article-review-mcp

## Description

A visual MCP server for reviewing explicit article patches with categorized comments, enabling deterministic patch validation, interactive accept/reject/edit decisions, and final article assembly.

## Trust

- **Trust score (0–1):** 0.66
- **Verification tier:** scanned
- **Last scanned:** 2026-08-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/e4as3ztdr3)
- **Repository:** <https://github.com/Biogod2020/article-review-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": "biogod2020-article-review-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/biogod2020-article-review-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/biogod2020-article-review-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