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GitHubEngineeringAssistant MCP Server

OlegShi/GitHubEngineeringAssistant

Score: 49.6 Rank #107 MCP Server
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MCP server for GitHub Engineering Assistant — create PRs, review code, analyze repo health, and generate issues.

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Overview

OlegShi/GitHubEngineeringAssistant is a Python MCP server. MCP server for GitHub Engineering Assistant — create PRs, review code, analyze repo health, and generate issues.

Ranked #107 out of 129 indexed tools.

Actively maintained with commits in the last week.

Ecosystem

Python No license

Score Breakdown

StarsFreshnessIssue HealthContributorsDependents
Stars 15% 1

1 stars → early stage

Freshness 25% today

Last commit today → actively maintained

Issue Health 25% 50%

No issues filed → no history to score

Contributors 10% 1

1 contributor → solo project

Dependents 25% 0

No dependents → no downstream usage

npm Downloads N/A
PyPI Downloads N/A
Forks 0
Description Good
License None

Weights: Freshness 25% · Issue Health 25% · Dependents 25% · Stars 15% · Contributors 10% · How we score →

How to Improve

Description low impact

Expand your description to 150+ characters for better discoverability

License low impact

Add an MIT or Apache-2.0 license to signal trust and enable adoption

Contributors medium impact

Single-contributor projects carry bus-factor risk — welcoming contributors boosts confidence

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AgentRank score for OlegShi/GitHubEngineeringAssistant
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Matched Queries

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From the README

# GitHub Engineering Assistant — MCP Server

An MCP (Model Context Protocol) server that gives VS Code Copilot the ability to
interact with GitHub repositories: create issues, open pull requests, review code,
and analyze repository health.

## Features

| Tool | Description |
|------|-------------|
| `create_issue` | Create a GitHub issue with title and description |
| `create_pr` | Create a pull request from a branch with changes |
| `review_pr` | AI-powered pull request review (lint + architecture) |
| `get_repo_stats` | Repository health metrics and analytics |

**Advanced capabilities:**
- AI-based PR review with lint and architecture feedback
- Risky commit detection (large diffs, secret patterns, force-pushes)

## Quick Start

### 1. Install

```bash
pip install -e .
```

### 2. Configure

Create a `.env` file (or set environment variables):

```env
GITHUB_TOKEN=ghp_your_personal_access_token
```

Generate a token at <https://github.com/settings/tokens> with scopes: `repo`, `read
Read full README on GitHub →

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