CodeReview.MCP 0.5.0

🚀 REBUSS.Pure – AI Code Review That Focuses Only on What Matters

Stop sending irrelevant code to AI.
Send only the right context — and understand Pull Requests faster.

💡 What is this?

REBUSS.Pure is a lightweight MCP server that enables AI agents (GitHub Copilot, ChatGPT, Claude) to perform high-signal code reviews by providing only the context that actually matters.

Instead of overwhelming the model with your entire repository, REBUSS.Pure:

• 🔍 analyzes Azure DevOps and GitHub Pull Requests
• 📄 provides only relevant code changes
• 🧠 enables focused code review & self-review
• ⚡ delivers minimal, high-signal context

🎯 Why this exists

Most AI workflows today:

• ❌ send too much code
• ❌ drown the model in noise
• ❌ produce generic, low-quality feedback

REBUSS.Pure changes the approach:

• ✅ sends only relevant context
• ✅ reduces noise, not just tokens
• ✅ helps AI focus on what actually matters

👉 built for real-world code review, not demos

🧠 Core idea

AI doesn’t need more code.
It needs the right code.

Instead of:

❌ full repo → LLM

You get:

LLM → MCP → high-signal context only

✨ Key Features

• 🔹 Azure DevOps and GitHub Pull Request integration
• 🔹 High-signal, diff-based AI context
• 🔹 Local self-review (no network required)
• 🔹 No repo cloning needed
• 🔹 Incremental, on-demand data access
• 🔹 Ready-to-use review prompts
• 🔹 Works with any MCP-compatible agent
• 🔹 Authentication via Azure CLI, GitHub CLI (gh auth), or PAT
• 🔹 Auto-detects VS Code and Visual Studio
• 🔹 Auto-detects provider from Git remote URL

🔒 Security & Privacy

Your source code never leaves your machine.

REBUSS.Pure runs as a local process on your workstation. It does not upload, store, or relay your code to any external service. The MCP server acts as a controlled gateway between your AI agent and the data it actually needs:

• Local processing only — the server runs on localhost; no outbound code transmission occurs.
• Minimal data exposure — the AI model receives only relevant context, not the full repository.
• Azure DevOps stays yours — when fetching PR data, requests go directly to your organization's Azure DevOps APIs using your credentials. No intermediary services are involved.
• GitHub stays yours — GitHub API requests go directly to api.github.com using your personal access token. No intermediary services are involved.
• Offline self-review — local review (#self-review) operates entirely without network access. Git operations run against your local repository; nothing is sent anywhere.
• No telemetry, no tracking — the server collects zero usage data and phones home to nobody.

In short: REBUSS.Pure gives AI agents precise, scoped access to exactly the context they need — and nothing more.

🆚 Compared to typical AI workflows

⚡ Quick Start

1. Install

Option A — .NET global tool (recommended)

dotnet tool install -g CodeReview.MCP

Option B - PowerShell

irm https://raw.githubusercontent.com/rebuss/CodeReview.MCP/master/install.ps1 | iex

Option C - Bash

curl -fsSL https://raw.githubusercontent.com/rebuss/CodeReview.MCP/master/install.sh | bash

2. Initialize in your repo

cd /path/to/your/repo
rebuss-pure init

This will:

• ✔ detect your IDE (VS Code → .vscode/mcp.json, Visual Studio → .vs/mcp.json)
• ✔ generate MCP server configuration
• ✔ copy review prompts to .github/prompts/
• ✔ copy instruction files to .github/instructions/ (for GitHub Copilot custom instructions)
• ✔ authenticate via Azure CLI (opens browser for login) or accept a GitHub PAT

3. Review a Pull Request

In Copilot / AI chat:

123 #review-pr

Where 123 is the Azure DevOps or GitHub Pull Request number.

4. Self-review local changes

#self-review

Works offline — no Azure DevOps connection required.