# GitHub Code Review Assistant

> Use this tool when you need to streamline code review workflows and enforce coding standards across teams. It analyzes pull requests, checks code patterns, and ensures consistency with team standards, providing automated code analysis, security checks, and suggestions for improvements. The tool accepts GitHub repository data as input and outputs detailed code review information, including files, diffs, and compliance validation results.

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

## Description

A GitHub Code Review Assistant MCP server built by sanjanaspanda that provides comprehensive tools for analyzing pull requests, checking code patterns, and ensuring consistency with team standards. The implementation uses FastMCP and httpx to expose tools for listing PRs, retrieving detailed PR information including files and diffs, performing automated code analysis with pattern detection and security checks, managing comments and reviews, and validating compliance against configurable team coding standards stored in repository files. It features intelligent code pattern recognition, complexity analysis, security vulnerability detection, and automated suggestions for improvements, making it useful for streamlining code review workflows, enforcing coding standards across teams, and providing AI-assisted code quality analysis in development processes.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** version-control
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/sanjanaspanda-github-code-review)
- **Repository:** <https://github.com/sanjanaspanda/mcp-server>

## 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": "sanjanaspanda-github-code-review"
    }
  }
}
```

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