selvage-lab/selvage
by Various
๐ ๐ - LLM-based code review MCP server with AST-powered smart context extraction. Supports Claude, GPT, Gemini, and 20+ models via OpenRouter.
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
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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