What is DeepView MCP?
DeepView MCP is a Model Context Protocol server that enhances IDEs by enabling them to analyze large codebases using Gemini’s extensive context window.
How does DeepView MCP integrate with IDEs?
DeepView MCP integrates with IDEs that support the MCP protocol, such as Cursor and Windsurf, by configuring IDE settings to connect with the MCP server.
What are the prerequisites for using DeepView MCP?
To use DeepView MCP, you need Python 3.13+ and a Gemini API key from Google AI Studio.
Can DeepView MCP handle large codebases?
Yes, DeepView MCP is designed to load and analyze entire codebases from a single text file, making it ideal for large projects.
How do I specify a different Gemini model in DeepView MCP?
You can specify a different Gemini model using command-line arguments when starting the server.
DeepView
Project Details
- ai-1st/deepview-mcp
- MIT License
- Last Updated: 4/13/2025
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