DeepView MCP
DeepView MCP is a Model Context Protocol server that enables IDEs like Cursor and Windsurf to analyze large codebases using Gemini 2.5 Pro's extensive context window.
What is DeepView MCP?
What is DeepView MCP? DeepView MCP is a Model Context Protocol server that enables IDEs like Cursor and Windsurf to analyze large codebases using Gemini 2.5 Pro's extensive context window. How to use DeepView MCP? To use DeepView MCP, install it via pip, configure your IDE to connect to the MCP server, and load your codebase from a single text file. Key features of DeepView MCP? Load an entire codebase from a single text file. 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. Use cases of DeepView MCP? Analyzing large codebases for better understanding and navigation. Assisting developers in querying codebases for specific information. Integrating with IDEs to enhance coding efficiency. FAQ from DeepView MCP? What programming languages does DeepView MCP support? DeepView MCP can analyze any codebase as long as it is provided in a compatible format. Is DeepView MCP free to use? Yes! DeepView MCP is open-source and free to use. How do I prepare my codebase for DeepView MCP? You can use tools like repomix to create a single file containing your entire codebase.
As an MCP (Model Context Protocol) server, DeepView MCP enables AI agents to communicate effectively through standardized interfaces. The Model Context Protocol simplifies integration between different AI models and agent systems.
How to use DeepView MCP
To use DeepView MCP, install it via pip, configure your IDE to connect to the MCP server, and load your codebase from a single text file. Key features of DeepView MCP? Load an entire codebase from a single text file. 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. Use cases of DeepView MCP? Analyzing large codebases for better understanding and navigation. Assisting developers in querying codebases for specific information. Integrating with IDEs to enhance coding efficiency. FAQ from DeepView MCP? What programming languages does DeepView MCP support? DeepView MCP can analyze any codebase as long as it is provided in a compatible format. Is DeepView MCP free to use? Yes! DeepView MCP is open-source and free to use. How do I prepare my codebase for DeepView MCP? You can use tools like repomix to create a single file containing your entire codebase.
Learn how to integrate this MCP server with your AI agents and leverage the Model Context Protocol for enhanced capabilities.
Use Cases for this MCP Server
- No use cases specified.
MCP servers like DeepView MCP can be used with various AI models including Claude and other language models to extend their capabilities through the Model Context Protocol.
About Model Context Protocol (MCP)
The Model Context Protocol (MCP) is a standardized way for AI agents to communicate with various services and tools. MCP servers like DeepView MCP provide specific capabilities that can be accessed through a consistent interface, making it easier to build powerful AI applications with complex workflows.
Browse the MCP Directory to discover more servers and clients that can enhance your AI agents' capabilities.