mcp-git-enhanced

Install mcp-git-enhanced in your MCP client

mcp-git-enhanced is a Model Context Protocol server. Add it to your MCP client config once, restart, and the server's tools become available to your AI assistant. The same JSON snippet below works across all four major clients — only the config file path differs.

1. Locate your client's MCP config file.
   • Cursor: ~/.cursor/mcp.json
   • Claude Desktop (macOS): ~/Library/Application Support/Claude/claude_desktop_config.json
   • Claude Desktop (Windows): %APPDATA%\Claude\claude_desktop_config.json
   • VS Code: Settings → Extensions → MCP
   • Windsurf: Settings → MCP Servers
2. Add mcp-git-enhanced to the mcpServers map — paste the snippet below into your config file. If you already have other MCP servers, merge the entry into the existing mcpServers object.
3. Restart your client so it picks up the new server.
4. Verify — ask the assistant to list available tools; mcp-git-enhanced's tools should appear.

{
  "mcpServers": {
    "mcp-git-enhanced": {
      "command": "npx",
      "args": [
        "-y",
        "@davidweb3-ctrl/mcp-git-enhanced"
      ]
    }
  }
}

npm package: @davidweb3-ctrl/mcp-git-enhanced

Transport

mcp-git-enhanced supports the following MCP transports. Most AI clients use stdio by default for locally-installed servers.

More create.code.review MCP servers

Other Model Context Protocol servers in the same space as mcp-git-enhanced. Each one adds different capabilities to your AI assistant — pick based on the data sources or workflows you need.

• ctxlint

  Lint your AI agent context files, MCP server configs, and session data against your actual codebase

• agnix

  Linter for AI agent configurations. Validates SKILL.md, CLAUDE.md, hooks, MCP, and more.

• claude-launchpad

  CLI toolkit for Claude Code — scaffold CLAUDE.md, diagnose config, enforce hooks, test with eval, add persistent memory

• git-enhanced

  Enhanced Git MCP Server - Code review, commit analysis, and branch management

• dingdawg-code-review

  AI code review — security, quality, performance. Learns your patterns. Receipted.

• prodlint-mcp

  MCP server for prodlint — scan AI-generated projects for production readiness issues

• sovereign-code-quality-mcp

  MCP server for code quality analysis — cyclomatic complexity, duplicate detection, naming conventions, file metrics, refactoring suggestions.

• skill-codex

  Cross-platform Claude Code skill that integrates OpenAI Codex CLI for code review, task delegation, and consultation via MCP

Browse the full MCP server directory or use Stork's one-line install to let your agent pick the right server automatically.