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selvage-lab/selvage

by Various

🐍 🏠 - LLM-based code review MCP server with AST-powered smart context extraction. Supports Claude, GPT, Gemini, and 20+ models via OpenRouter.

S

MCP

selvage-lab/selvage

Added 1 June 2026

Overview

Selvage is an MCP server for code review that uses large language models. It extracts smart context from code using AST parsing. The tool supports Claude, GPT, Gemini, and over 20 other models through OpenRouter.

Best for

Best for
Developers seeking an open-source, model-agnostic code review assistant

Use cases

  • Automated code review in CI pipelines
  • Get LLM feedback on pull requests
  • Analyze code with AST-aware context extraction

How to use

Install

uv tool install selvage

Tools exposed

  • uvx

Tested with

Cursor, Claude Code

Example client config

{\n  "mcpServers": {\n    "selvage": {\n      "command": "uvx",\n      "args": ["selvage", "mcp"]\n    }\n  }\n}

Notes

Selvage is an MCP server for code review that uses large language models. It extracts smart context from code using AST parsing. The tool supports Claude, GPT, Gemini, and over 20 other models through OpenRouter.

33 stars on GitHub. Last updated 2026-02-23.

Use cases

  • Automated code review in CI pipelines
  • Get LLM feedback on pull requests
  • Analyze code with AST-aware context extraction

Pros

  • Supports multiple LLM providers via OpenRouter
  • AST-powered context extraction improves review relevance
  • Open source and self-hostable

Cons

  • Relatively new project with few stars (33)
  • Requires Python environment and MCP setup
  • Dependence on external LLM APIs for analysis

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Supports multiple LLM providers via OpenRouter
  • AST-powered context extraction improves review relevance
  • Open source and self-hostable

Cons

  • Relatively new project with few stars (33)
  • Requires Python environment and MCP setup
  • Dependence on external LLM APIs for analysis

Pairs with

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