DeepView MCP 是一个模型上下文协议服务器，使像 Cursor 和 Windsurf 这样的集成开发环境能够利用 Gemini 丰富的上下文窗口分析大型代码库。

特色

• 从单个文本文件加载整个代码库（例如使用repomix等工具创建）
• 利用 Gemini 的大上下文窗口查询代码库
• 连接支持 MCP 协议的集成开发环境（IDE），如 Cursor 和 Windsurf
• 通过命令行参数可配置的双子座模型选择

先修条件

• Python 3.13+
• 来自Google AI Studio的Gemini API密钥

安装

通过Smithery安装

通过Smithery自动安装Claude Desktop的DeepView：

使用 pip

用途

启动服务器

注意：你不需要手动启动服务器。这些参数是在你的 MCP 设置中配置的，也在你的 IDE 里（见下文）。

代码库文件参数是可选的。如果没有提供，你需要在查询时指定它。

命令行选项

• --model MODEL：指定所用的Gemini型号（默认：gemini-2.0-flash-lite）
• --log-level {DEBUG,INFO,WARNING,ERROR,CRITICAL}：设置日志水平（默认：INFO）

使用 IDE（光标/风帆冲浪/…）

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 claude

Using pip

pip install deepview-mcp

Usage

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

The codebase file parameter is optional. If not provided, you’ll need to specify it when making queries.

Command-line Options

• --model MODEL: Specify the Gemini model to use (default: gemini-2.0-flash-lite)
• --log-level {DEBUG,INFO,WARNING,ERROR,CRITICAL}: Set the logging level (default: INFO)

Using with an IDE (Cursor/Windsurf/…)

1. Open IDE settings
2. Navigate to the MCP configuration
3. Add a new MCP server with the following configuration:

   {
     "mcpServers": {
       "deepview": {
         "command": "/path/to/deepview-mcp",
         "args": [],
         "env": {
           "GEMINI_API_KEY": "your_gemini_api_key"
         }
       }
     }
   }
   
   

Setting a codebase file is optional. If you are working with the same codebase, you can set the default codebase file using the following configuration:

{
   "mcpServers": {
     "deepview": {
       "command": "/path/to/deepview-mcp",
       "args": ["/path/to/codebase.txt"],
       "env": {
         "GEMINI_API_KEY": "your_gemini_api_key"
       }
     }
   }
 }

Here’s how to specify the Gemini version to use:

{
   "mcpServers": {
     "deepview": {
       "command": "/path/to/deepview-mcp",
       "args": ["--model", "gemini-2.5-pro-exp-03-25"],
       "env": {