GitHub Code Review: Streamline Collaboration and Improve Code Quality
GitHub's 'code-review' feature is a powerful collaboration tool integrated into repositories, enabling developers to streamline the code review process. It offers intuitive ways to suggest changes, comment on specific sections of code, and resolve feedback threads, ensuring code quality and collaboration at every step.
Server Details
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What's Inside
Navigate through comprehensive documentation and guides
Overview
Quick Start
Features
Installation
Configuration
Usage Examples
Tools & Commands
Troubleshooting
FAQ
Community & Support
Get Started in 3 Steps
Get up and running in just 5 minutes
Install Prerequisites
Install Node.js and Ollama on your system
npm install -g ollamaSetup MCP Server
Clone repository and install dependencies
git clone https://github.com/features/code-review && npm installConnect to Claude
Add server to Claude Desktop configuration
Edit claude_desktop_config.jsonPowerful Features
Discover what makes this MCP server exceptional and how it can transform your workflow
Add inline comments directly in the 'Files Changed' tab.
Suggest specific code changes for collaborative improvement.
Submit reviews with options like 'Approve,' 'Comment,' or 'Request Changes.'
Resolve or reopen discussion threads as needed.
Receive notifications for comments, suggestions, and reviews.
Technical Capabilities
Inline Comments: Allows users to add comments directly on specific lines of code in the 'Files Changed' tab of pull requests.
About This Server
The GitHub 'code-review' feature empowers software teams to conduct efficient peer reviews directly within GitHub repositories. By providing capabilities such as inline commenting, change suggestions, and resolution management for discussion threads, it facilitates collaboration and enhances code quality. Developers can engage in meaningful discussions around specific code sections, propose direct edits, and approve or request changes on pull requests. The feature seamlessly integrates into GitHub's ecosystem, leveraging user-friendly interfaces and providing workflows critical for maintaining coding standards and best practices in software development projects.
Tools & Capabilities
Explore the powerful tools this server provides
Available Tools
Inline Comments
Allows users to add comments directly on specific lines of code in the 'Files Changed' tab of pull requests.
Suggest Changes
Provides the ability to propose specific edits to the code within the review interface, enabling collaborative code improvement.
Review Changes
Enables reviewers to submit their feedback with options to Approve, Comment, or Request Changes.
Resolve Conversations
Allows users to mark discussion threads as resolved once the necessary changes have been implemented.
Reopen Conversations
Provides the ability to reopen closed discussion threads if further action is required.
Installation & Setup
Complete guide to get this MCP server running in your environment
Before You Start
There are two ways to add an MCP server to Cursor and Claude Desktop App:
- Globally: Available in all of your projects by adding it to the global MCP settings file.
- Per Project: Available only within a specific project by adding it to the project's MCP settings file.
Cursor IDE
Adding an MCP Server to Cursor Globally
- Go to **Cursor Settings > MCP** and click **Add new global MCP server**.
- This will open the `~/.cursor/mcp.json` file.
- Add your MCP server configuration like the following:
{
"mcpServers": {
"cursor-rules-mcp": {
"command": "npx",
"args": [
"-y",
"cursor-rules-mcp"
]
}
}
}Claude Desktop
Adding an MCP Server to Claude Desktop App Globally
- Go to **Claude Settings > MCP Servers** and click **Add Global MCP Server**.
- This will open the `~/.claude/mcp.json` file (or you can navigate there manually).
- Add your MCP server configuration like the following:
{
"mcpServers": {
"cursor-rules-mcp": {
"command": "npx",
"args": [
"-y",
"cursor-rules-mcp"
]
}
}
}Step-by-Step Setup
Detailed instructions to get everything running
Using GitHub's code-review features does not require special installation. Follow these steps to use it:
- Navigate to a GitHub repository where you have write or collaborator access.
- Create or open a Pull Request to review the proposed code changes.
- Use the 'Files Changed' tab to browse through the code differences.
- Add inline comments on specific lines to share feedback or use the 'Suggest Changes' option to propose edits.
- Submit your feedback via the 'Review Changes' button, selecting Approve, Comment, or Request Changes.
- Mark conversations as resolved when an issue is addressed or reopen them as needed.
Use Cases
Real-world applications and scenarios where this server excels
Conducting detailed peer code reviews before merging a Pull Request to ensure code quality.
Collaborating on open-source projects by providing constructive feedback on contributions.
Identifying and addressing bugs in proposed code changes before they are merged.
Discussing implementation strategies across teams and proposing code optimizations.
Maintaining adherence to coding standards and reviewing compliance during development.
Success Stories
See how others have successfully implemented this MCP server
Real-world Application: Conducting Detailed Peer Code Reviews Before Merging A Pull Request To Ensure Code Quality.
Scenario
An organization implemented GitHub Code Review: Streamline Collaboration and Improve Code Quality to address their specific need for conducting detailed peer code reviews before merging a pull request to ensure code quality.
Implementation
They configured the MCP server with specialized AI models tailored to their conducting detailed peer code reviews before merging a pull request to ensure code quality. requirements, enabling comprehensive analysis and decision support
Outcome
Achieved significant improvements in conducting detailed peer code reviews before merging a pull request to ensure code quality. efficiency and quality through multi-perspective AI analysis
Real-world Application: Collaborating On Open Source Projects By Providing Constructive Feedback On Contributions.
Scenario
An organization implemented GitHub Code Review: Streamline Collaboration and Improve Code Quality to address their specific need for collaborating on open-source projects by providing constructive feedback on contributions.
Implementation
They configured the MCP server with specialized AI models tailored to their collaborating on open-source projects by providing constructive feedback on contributions. requirements, enabling comprehensive analysis and decision support
Outcome
Achieved significant improvements in collaborating on open-source projects by providing constructive feedback on contributions. efficiency and quality through multi-perspective AI analysis
Real-world Application: Identifying And Addressing Bugs In Proposed Code Changes Before They Are Merged.
Scenario
An organization implemented GitHub Code Review: Streamline Collaboration and Improve Code Quality to address their specific need for identifying and addressing bugs in proposed code changes before they are merged.
Implementation
They configured the MCP server with specialized AI models tailored to their identifying and addressing bugs in proposed code changes before they are merged. requirements, enabling comprehensive analysis and decision support
Outcome
Achieved significant improvements in identifying and addressing bugs in proposed code changes before they are merged. efficiency and quality through multi-perspective AI analysis
Frequently Asked Questions
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Common Questions
Everything you need to know to get started
Related Topics & Technologies
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Technologies
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