DeepView
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?
DeepView is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to 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.
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.
This server falls under the Coding Agents and Developer Tools categories on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- DeepView MCP is a Model Context Protocol server that enables
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx deepview-mcpConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
How to Set Up and Use DeepView
DeepView MCP is a Model Context Protocol server that lets AI-powered IDEs like Cursor and Windsurf analyze entire large codebases in a single pass by leveraging Google Gemini's extensive context window. It works by ingesting a repomix-packed snapshot of your repository and answering deep architectural or code-quality questions against the full source. Developers use it when normal context-window limits prevent their AI assistant from reasoning across many files simultaneously.
Prerequisites
- Python 3.13 or later installed
- A Google Gemini API key (obtain from Google AI Studio at aistudio.google.com)
- Node.js 18.17.0 or later (needed to run repomix for packing the codebase)
- An MCP-compatible client such as Claude Desktop, Cursor, or Windsurf
Install DeepView MCP
Install the package from PyPI using pip. This places the deepview-mcp binary on your PATH.
pip install deepview-mcpObtain a Gemini API key
Visit Google AI Studio (aistudio.google.com), sign in, and create an API key. Keep it ready as the GEMINI_API_KEY environment variable.
Pack your codebase with repomix
From your project root, run repomix to produce a single-file snapshot of the repository. DeepView reads this file to provide full-codebase context to Gemini.
npx repomixConfigure your MCP client
Add the DeepView server to your MCP client configuration. Replace the paths and API key with your actual values. The first positional argument is the path to the repomix output file.
{
"mcpServers": {
"deepview": {
"command": "deepview-mcp",
"args": ["/path/to/repomix-output.xml", "--model", "gemini-2.5-pro-exp-03-25"],
"env": {
"GEMINI_API_KEY": "your_gemini_api_key_here"
}
}
}
}Restart your MCP client
Restart Claude Desktop, Cursor, or Windsurf so it picks up the new server configuration. The DeepView tool will appear as available once the server starts.
Ask questions about your codebase
Use the deepview tool by asking your AI assistant any question about your codebase. The tool accepts a required 'question' parameter and an optional 'codebase_file' path if you want to override the default.
DeepView Examples
Client configuration
Add this block to claude_desktop_config.json (or your IDE's MCP settings) to enable DeepView with Gemini 2.5 Pro.
{
"mcpServers": {
"deepview": {
"command": "deepview-mcp",
"args": ["/path/to/repomix-output.xml", "--model", "gemini-2.5-pro-exp-03-25"],
"env": {
"GEMINI_API_KEY": "your_gemini_api_key_here"
}
}
}
}Prompts to try
These prompts exercise DeepView's ability to reason across the entire codebase at once.
- "What are the main architectural layers in this codebase and how do they interact?"
- "Find all places where database connections are opened but potentially not closed."
- "Explain the data flow from the API endpoint to the database for user authentication."
- "What design patterns are used in this project and are they applied consistently?"Troubleshooting DeepView
Error: GEMINI_API_KEY not set or invalid
Make sure the env block in your MCP config contains a valid key from Google AI Studio. Do not put the key in args — it must be in the env section.
deepview-mcp command not found after pip install
The pip scripts directory may not be on your PATH. Try running 'python -m deepview_mcp' instead, or add the Python scripts folder (e.g. ~/.local/bin) to your PATH.
Model returns context-length errors for very large codebases
Use repomix's ignore options (.repomixignore) to exclude generated files, test fixtures, and vendor directories before packing. This reduces the token count fed to Gemini.
Frequently Asked Questions about DeepView
What is DeepView?
DeepView is a Model Context Protocol (MCP) server that 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. It connects AI assistants to external tools and data sources through a standardized interface.
How do I install DeepView?
Follow the installation instructions on the DeepView GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with DeepView?
DeepView works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is DeepView free to use?
Yes, DeepView is open source and available under the MIT License license. You can use it freely in both personal and commercial projects.
DeepView Alternatives — Similar Coding Agents Servers
Looking for alternatives to DeepView? Here are other popular coding agents servers you can use with Claude, Cursor, and VS Code.
Dify
★ 142.2kProduction-ready platform for agentic workflow development.
Ruflo
★ 54.0k🌊 The leading agent orchestration platform for Claude. Deploy intelligent multi-agent swarms, coordinate autonomous workflows, and build conversational AI systems. Features enterprise-grade architecture, self-learning swarm intelligence, RAG integrat
Goose
★ 45.7kan open source, extensible AI agent that goes beyond code suggestions - install, execute, edit, and test with any LLM
Antigravity Awesome Skills
★ 38.3kInstallable GitHub library of 1,400+ agentic skills for Claude Code, Cursor, Codex CLI, Gemini CLI, Antigravity, and more. Includes installer CLI, bundles, workflows, and official/community skill collections.
AgentScope
★ 25.5kBuild and run agents you can see, understand and trust.
Serena
★ 24.5kA coding agent toolkit that provides IDE-like semantic code retrieval and editing tools, enabling LLMs to efficiently navigate and modify codebases using symbol-level operations instead of basic file reading and string replacements.
Browse More Coding Agents MCP Servers
Explore all coding agents servers available in the MCPgee directory. Each server includes setup guides for Claude, Cursor, and VS Code.
Set Up DeepView in Your Editor
Choose your AI client for step-by-step setup instructions.
Quick Config Preview
Add this to your claude_desktop_config.json or .cursor/mcp.json
Ready to use DeepView?
Browse our complete directory of 33,000+ MCP servers, read setup guides for your editor, and start building with the Model Context Protocol.