# mcp-review-pr

> mcp-review-pr — thangtn83-mcp-pr-review. Use this tool when you need to streamline your code review process with automated analysis and quality checks. It solves problems related to manual code reviews, providing deterministic analysis and AI-powered tools to detect languages and apply review guidelines. The tool takes in code submissions and outputs detailed review reports, making it ideal for use in multi-language development projects.

Canonical page: https://skillsregistry.net/skills/thangtn83-mcp-pr-review  
JSON: https://api.skillsregistry.net/v1/skills/thangtn83-mcp-pr-review

## Description

An MCP server for multi-language PR review with deterministic analysis, providing AI-powered code review tools that detect languages, apply review guidelines, and run quality checks.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/d23qkto5nf)
- **Repository:** <https://github.com/thangtn83/mcp_pr_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": "thangtn83-mcp-pr-review"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/thangtn83-mcp-pr-review` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/thangtn83-mcp-pr-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