DeepView MCP Server

Enables IDEs like Cursor and Windsurf to analyze large codebases using Gemini's 1M context window.

Local serverstdioPython

What is the DeepView MCP MCP server?

Deepview mcp mcp server lets Claude, Cursor and other MCP clients work with DeepView MCP directly. Enables IDEs like Cursor and Windsurf to analyze large codebases using Gemini's 1M context window.

What DeepView MCP does

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.

Key capabilities

  • 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

Installing the deepview mcp mcp server

The server is distributed via npm as @smithery/cli, so most clients can run it without a manual build step. Add it to your MCP client's configuration and restart the client to pick it up — the copy-paste configs for Claude Desktop, Claude Code and Cursor are on this page.

Configuration

Before the server will start you need to supply one environment variable: GEMINI_API_KEY. Keep credentials in your client's env block or a secrets manager rather than committing them.

Requirements

Where it fits

Developer-tool servers are usually the first ones people connect, because they turn "help me with this code" into an assistant that can actually read the repo and act on it. DeepView MCP sits in that group. Worth comparing against the other developer tools servers in this directory before you commit to one, since several overlap in scope but differ sharply in setup cost and permissions.

Practical notes

  • This server runs locally, so it operates with whatever access your machine and its credentials already have. Scope that deliberately rather than by default.
  • It will not start until its required credentials are present, so set those before wondering why the tools never appear.
  • Written in Python.
  • MCP clients ask for confirmation before each tool call by default. Keep that on while you learn what the deepview mcp mcp server actually does with your data.
  • Every entry in this directory is reviewed by hand before it goes live, and details are checked against the project's own documentation.

How to install the DeepView MCP MCP server

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

Configuration as documented by the project. Restart the client after saving.

Configuration

VariableDescriptionRequired
GEMINI_API_KEYCredential the server authenticates with.Yes

Frequently asked questions

It connects DeepView MCP to MCP-compatible AI assistants such as Claude and Cursor. Instead of copying data back and forth by hand, the assistant works with DeepView MCP directly.