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Selvage MCP server

by selvage-lab·io.github.selvage-lab/selvage·v0.4.1·36 stars
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An LLM-based code review MCP server with AST-powered smart context extraction

A89/100grade A
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Safety scan
A89/100

full report

Adoption
Growing

36 stars22 downloads/wk

Reviews

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If you have run it, two minutes of your experience saves the next person an afternoon.

Selvage tools

No tool declarations could be read from the package source. They show once the server is installed.

Public scan report

scanner v0.1.10 · 2026-09-28 · same rubric, same numbers if you re-run it

no findings
  • Code scan108 source files scanned25/25
  • –Live reliabilityno gateway calls yet and no remote to proben/a
  • –Tool poisoningtools not inspected (local package is not executed); not countedn/a
  • Auth qualitylocal package, no credentials required12/15
  • Maintenancelast push 71 days ago12/15
  • Maintainer identityregistry namespace matches repository owner; GitHub account older than a year9/10
Overall 89/100. Components that don't apply are left out of the denominator. Any critical finding is an F.RubricAppeal a findingJSON

How Selvage compares

Against every graded AI and agents MCP server, from our own scans and uptime checks. Updated after each scan run.

Safety score
89/100
higher than 83% of 4,460 AI and agents servers
GitHub stars
36
more than 91% of 2,711 AI and agents servers
Downloads a week
22
more than 8% of 1,538 AI and agents servers with a package

Install Selvage in Claude Code, Cursor or VS Code

claude mcp add selvage -- uvx selvage
Add to Cursor

What the publisher says

From the Selvage repository's README, as published. We do not edit it. Read it on GitHub

Selvage: AI-Powered Code Review Automation Tool

🌐 한국어

A modern CLI tool that helps AI analyze Git diffs to improve code quality, find bugs, and identify security vulnerabilities.

🤖 AI Agents: Read our documentation at https://selvage.ai/llms.txt

<!-- TODO: Add demo GIF --> <!-- -->

▶ Watch Demo Video

Selvage: Code reviews with an edge!

No more waiting for reviews! AI instantly analyzes your code changes to provide quality improvements and bug prevention. With smart context analysis (AST-based) that's accurate and cost-effective, plus multi-turn processing for large codebases - seamlessly integrated with all Git workflows.

Table of Contents

  • ✨ Key Features
  • 🚀 Quick Start
  • 🎯 Practical Usage Guide
  • MCP Mode Usage
  • ⌨️ CLI Usage
  • 🌐 Smart Context Analysis and Supported AI Models
  • 🎯 Smart Context Analysis
  • Supported AI Models
  • 📄 Review Result Storage Format
  • 🔧 Troubleshooting
  • 🤝 Contributing
  • 📜 License

✨ Key Features

  • 🤖 Multiple AI Model Support: Leverage the latest LLM models including OpenAI GPT-5, Anthropic Claude Sonnet-4, Google Gemini, and more
  • 🔍 Git Workflow Integration: Support for analyzing staged, unstaged, and changes between specific commits/branches
  • 🎯 Optimized Context Analysis: Tree-sitter based AST analysis automatically extracts the smallest code blocks containing changed lines along with their dependency statements, providing contextually optimized information for each situation
  • 🔄 Automatic Multi-turn Processing: Automatic prompt splitting when context limits are exceeded, supporting stable large-scale code reviews (Large Context Mode now auto-triggers once total tokens exceed 200k, even without provider errors)
  • 🤖 MCP Mode Support: Register as MCP mode in Cursor, Claude Code, etc., and request code reviews through natural language like "Review current changes"
  • 🔌 Claude Code Plugin: Install via marketplace with a single command — includes dedicated /review skill and selvage-reviewer agent for seamless integration
  • 🧠 Agent-Delegated Review (getreviewcontext): Returns structured review context (diff + Smart Context + system prompt) so host agents (Claude Code, Cursor, Antigravity, etc.) can perform code reviews with their own LLM — no API key required
  • 📖 Open Source: Freely use and modify under Apache-2.0 License

🚀 Quick Start

Common Setup

1. Installation

Recommended Method (using uv)

# Install uv (run once)
curl -LsSf https://astral.sh/uv/install.sh | sh

# Install Selvage
uv tool install selvage

Alternative Method (using pipx)

# Install pipx (macOS)
brew install pipx

Shortened. The full README is on GitHub.

Nothing above is checked by us. What we check is on the safety report.

Selvage: common questions

Is Selvage MCP server safe?
Yes, by our scan: it is graded A (89/100). Read the Selvage safety report
How do I install Selvage?
It runs on your machine. Copy the Claude Code, Cursor, VS Code or Claude Desktop config from the install section.
Does Selvage need an API key?
Not as far as the registry entry and our scan can tell: no credentials are declared or required.
Is Selvage maintained?
The last commit was 108 days ago (2026-07-19). The latest release is v0.4.1.
What can I use instead of Selvage?
Servers from other publishers that do the same job: OpenWorkProof MCP server, You.com Web Access & AI MCP server and Maple MCP server.
How does Selvage compare with other AI and agents MCP servers?
safety score 89/100 (higher than 83% of 4,460 AI and agents servers); github stars 36 (more than 91% of 2,711 AI and agents servers); downloads a week 22 (more than 8% of 1,538 AI and agents servers with a package). Full comparison.

Alternatives to Selvage

Same job from other publishers: the closest match first, then the best rated.

  • OpenWorkProof
    Verifiable agent evidence; opt-in Codex guard and reference SOC alert review.
    A
  • You.com Web Access & AI
    Web search, AI agent, and content extraction via You.com APIs
    A
  • Maple
    Review comments pinned to a running frontend, read and resolved by your coding agent.
    B