deepview-mcp
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DeepView MCP is designed for integrating with IDEs to analyze large codebases using the Model Context Protocol. It supports loading codebases from text files and querying them using Gemini's context capabilities. Notably, it offers seamless connectivity with IDEs like Cursor and Windsurf.
DeepView MCP
DeepView MCP is a Model Context Protocol server that allows IDEs like Cursor and Windsurf to analyze large codebases using Gemini's extensive context window.
Features
- Load an entire codebase from a single text file.
- Query the codebase using Gemini's large context window.
- Connect to IDEs supporting the MCP protocol, such as Cursor and Windsurf.
- Configurable Gemini model selection via command-line arguments.
Prerequisites
- Python 3.13+
- Gemini API key from Google AI Studio
Installation
- Install via Smithery or using pip.
Usage
Start the server and connect to your IDE with the appropriate configurations. Use command-line options to specify models and log levels.