codeglance-mcp 0.1.3

MCP server for comprehensive GitHub repository analysis using Gemini AI

CodeGlance MCP Server

An MCP (Model Context Protocol) server that analyzes GitHub repositories using Gemini AI and generates comprehensive documentation — project overviews, architecture guides, file insights, and more.

Works with any MCP-compatible client: Claude Code, Claude Desktop, Cursor, Windsurf, etc.

Quick Start

1. Get a Gemini API Key

Get a free API key from Google AI Studio.

2. Install & Configure

Claude Code

claude mcp add codeglance -e GEMINI_API_KEY=your_key_here -- uvx codeglance-mcp

That's it. Verify with:

claude mcp list

Claude Desktop / Cursor / Other MCP Clients

Add to your MCP config file (claude_desktop_config.json, .cursor/mcp.json, etc.):

{
  "mcpServers": {
    "codeglance": {
      "command": "uvx",
      "args": ["codeglance-mcp"],
      "env": {
        "GEMINI_API_KEY": "your_gemini_api_key_here"
      }
    }
  }
}

Alternative: Install via pip

pip install codeglance-mcp

Then configure your MCP client to run codeglance-mcp as the command instead of uvx codeglance-mcp.

What It Does

When you ask your AI assistant to analyze a repository, CodeGlance:

1. Clones the repository (shallow clone for speed)
2. Reads key files (README, package.json, config files, entry points)
3. Sends the context to Gemini AI with specialized analysis prompts
4. Generates 6 documentation files in codeglance-analysis/guide/

Generated Documentation

File	Description
01-overview.md	5-minute project overview
02-tree.md	Annotated directory structure
03-file-insights.md	Key files and their purposes
04-architecture.md	System architecture deep-dive
05-quick-start.md	Getting started guide
06-master-analysis.md	Comprehensive technical analysis

MCP Tools

Tool	Description
analyze_repository	Run full analysis on a GitHub repo
get_repository_info	Check if a repo is already cloned
list_generated_guides	List generated documentation files

MCP Prompts

Prompt	Description
comprehensive_analysis	Full analysis workflow
quick_overview	Fast overview only
architecture_review	Architecture-focused analysis
security_audit	Security-focused review

Configuration

All settings can be customized via environment variables in your MCP config:

Variable	Default	Description
GEMINI_API_KEY	(required)	Your Google Gemini API key
MAX_FILE_SIZE	5000	Max characters per file to analyze
MAX_FILES_PER_ANALYSIS	50	Max files to include in analysis
TIMEOUT_SECONDS	120	API request timeout
MAX_CONCURRENT_REQUESTS	3	Concurrent Gemini API calls
CACHE_TTL_SECONDS	3600	In-memory cache TTL

Example with custom settings:

{
  "mcpServers": {
    "codeglance": {
      "command": "uvx",
      "args": ["codeglance-mcp"],
      "env": {
        "GEMINI_API_KEY": "your_key",
        "TIMEOUT_SECONDS": "180",
        "MAX_CONCURRENT_REQUESTS": "5"
      }
    }
  }
}

Requirements

• Python 3.11+
• Git (for cloning repositories)
• A Gemini API key (free tier works)

Development

git clone https://github.com/lucidopus/codeglance-mcp.git
cd codeglance-mcp
uv sync

# Run locally
GEMINI_API_KEY=your_key uv run codeglance-mcp

License

MIT