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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.

64 stars PythonAI & Machine Learning Updated Sep 19, 2025

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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.

PyPI version
smithery badge

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

Installation

Installing via Smithery

To install DeepView for Claude Desktop automatically via Smithery:

bash
npx -y @smithery/cli install @ai-1st/deepview-mcp --client claude

Using pip

bash
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).

bash
# 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:

json
{
     "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"

}

}

}

}

code
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": {

"GEMINI_API_KEY": "your_gemini_api_key"

}

}

}

}

code
4. Reload MCP servers configuration

### Available Tools

The server provides one tool:

1. `deepview`: Ask a question about the codebase
   - Required parameter: `question` - The question to ask about the codebase
   - Optional parameter: `codebase_file` - Path to a codebase file to load before querying

## Preparing Your Codebase

DeepView MCP requires a single file containing your entire codebase. You can use [repomix](https://github.com/yamadashy/repomix) to prepare your codebase in an AI-friendly format.

### Using repomix

1. **Basic Usage**: Run repomix in your project directory to create a default output file:

Make sure you're using Node.js 18.17.0 or higher

npx repomix

code
This will generate a `repomix-output.xml` file containing your codebase.

2. **Custom Configuration**: Create a configuration file to customize which files get packaged and the output format:

npx repomix --init

code
This creates a `repomix.config.json` file that you can edit to:
- Include/exclude specific files or directories
- Change the output format (XML, JSON, TXT)
- Set the output filename
- Configure other packaging options

### Example repomix Configuration

Here's an example `repomix.config.json` file:

{

"include": [

"**/*.py",

"**/*.js",

"**/*.ts",

"**/*.jsx",

"**/*.tsx"

],

"exclude": [

"node_modules/**",

"venv/**",

"/__pycache__/",

"/test/"

],

"output": {

"format": "xml",

"filename": "my-codebase.xml"

}

}

code
For more information on repomix, visit the [repomix GitHub repository](https://github.com/yamadashy/repomix).

## License

MIT

## Author

Dmitry Degtyarev (ddegtyarev@gmail.com)

Frequently asked questions

What is deepview-mcp?

deepview-mcp is 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 do I install deepview-mcp?

Open the GitHub repository and follow its README. Most MCP servers are added to your client's MCP config, then called by your agent.

Is deepview-mcp open source?

Yes — it is hosted on GitHub at https://github.com/ai-1st/deepview-mcp and has 64 stars.

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