Sage
Facilitates code review and implementation planning using large language models by providing them with extensive code context.
About
Sage is an MCP server designed to enhance code understanding, review, and implementation planning through the use of large language models. It automatically selects between OpenAI's O3 and Google's Gemini 2.5 Pro based on token count, embedding referenced filepaths recursively to provide a comprehensive context to the model. This enables developers to obtain second opinions, detailed code reviews, and robust implementation plans from AI models capable of handling vast amounts of code accurately, improving code quality and development efficiency.
Key Features
- Automatically selects between OpenAI and Gemini models based on token count.
- Packs files into a structured XML format for efficient context delivery.
- Supports code review with suggestions formatted as SEARCH/REPLACE blocks.
- 4 GitHub stars
- Provides detailed monitoring information via MCP logging.
- Offers implementation plan generation with multi-model debate for improved results.
Use Cases
- Generating detailed implementation plans for complex features.
- Getting second opinions or expert reviews on code.
- Automating code review processes with AI-driven suggestions.
Sponsored