DeepView MCP
DeepView MCP is a Model Context Protocol server that enables 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 (e.g., created with tools like repomix)
- Query the codebase using Gemini's large context window
- Connect to IDEs that support the MCP protocol, like Cursor and Windsurf
- Configurable Gemini model selection via command-line arguments
Prerequisites
- Python 3.13+
- Gemini API key from Google AI Studio
Installation
Installing via Smithery
To install DeepView for Claude Desktop automatically via Smithery:
npx -y @smithery/cli install @ai-1st/deepview-mcp --client claudeUsing pip
pip install deepview-mcpUsage
Starting the Server
Note: you don't need to start the server manually. These parameters are configured in your MCP setup in your IDE (see below).
# Basic usage with default settings
deepview-mcp [path/to/codebase.txt]
# Specify a different Gemini model
deepview-mcp [path/to/codebase.txt] --model gemini-2.0-pro
# Change log level
deepview-mcp [path/to/codebase.txt] --log-level DEBUG
