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ShadowGit

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MCP server providing secure read-only access to ShadowGit repositories for AI-powered debugging

ShadowGit MCP Server

npm version

A Model Context Protocol (MCP) server that provides AI assistants with secure git access to your ShadowGit repositories, including the ability to create organized commits through the Session API. This enables powerful debugging, code analysis, and clean commit management by giving AI controlled access to your project's git history.

What is ShadowGit?

ShadowGit automatically captures every save as a git commit while also providing a Session API that allows AI assistants to pause auto-commits and create clean, organized commits. The MCP server provides both read access to your detailed development history and the ability to manage AI-assisted changes properly.

Installation

npm install -g shadowgit-mcp-server

Setup with Claude Code

# Add to Claude Code claude mcp add shadowgit -- shadowgit-mcp-server # Restart Claude Code to load the server

Setup with Claude Desktop

Add to your Claude Desktop MCP configuration:

macOS/Linux: ~/.config/Claude/claude_desktop_config.json
Windows: %APPDATA%\\Claude\\claude_desktop_config.json

{ "mcpServers": { "shadowgit": { "command": "shadowgit-mcp-server" } } }

Requirements

  • Node.js 18+
  • ShadowGit app installed and running with tracked repositories
    • Session API requires ShadowGit version >= 0.3.0
  • Git available in PATH

How It Works

MCP servers are stateless and use stdio transport:

  • The server runs on-demand when AI tools (Claude, Cursor) invoke it
  • Communication happens via stdin/stdout, not HTTP
  • The server starts when needed and exits when done
  • No persistent daemon or background process

Environment Variables

You can configure the server behavior using these optional environment variables:

  • SHADOWGIT_TIMEOUT - Command execution timeout in milliseconds (default: 10000)
  • SHADOWGIT_SESSION_API - Session API URL (default: http://localhost:45289/api)
  • SHADOWGIT_LOG_LEVEL - Log level: debug, info, warn, error (default: info)
  • SHADOWGIT_HINTS - Set to 0 to disable workflow hints in git command outputs (default: enabled)

Example:

export SHADOWGIT_TIMEOUT=30000 # 30 second timeout export SHADOWGIT_LOG_LEVEL=debug # Enable debug logging export SHADOWGIT_HINTS=0 # Disable workflow banners for cleaner output

Available Commands

Session Management

The Session API (requires ShadowGit >= 0.3.0) allows AI assistants to temporarily pause ShadowGit's auto-commit feature and create clean, organized commits instead of having fragmented auto-commits during AI work.

IMPORTANT: AI assistants MUST follow this four-step workflow when making changes:

  1. start_session({repo, description}) - Start work session BEFORE making changes (pauses auto-commits)
  2. Make your changes - Edit code, fix bugs, add features
  3. checkpoint({repo, title, message?, author?}) - Create a clean commit AFTER completing work
  4. end_session({sessionId, commitHash?}) - End session when done (resumes auto-commits)

This workflow ensures AI-assisted changes result in clean, reviewable commits instead of fragmented auto-saves.

list_repos()

Lists all ShadowGit-tracked repositories.

await shadowgit.list_repos()

git_command({repo, command})

Executes read-only git commands on a specific repository.

// View recent commits await shadowgit.git_command({ repo: "my-project", command: "log --oneline -10" }) // Check what changed recently await shadowgit.git_command({ repo: "my-project", command: "diff HEAD~5 HEAD --stat" }) // Find who changed a specific line await shadowgit.git_command({ repo: "my-project", command: "blame src/auth.ts" })

start_session({repo, description})

Starts an AI work session using the Session API. This pauses ShadowGit's auto-commit feature, allowing you to make multiple changes that will be grouped into a single clean commit.

const result = await shadowgit.start_session({ repo: "my-app", description: "Fixing authentication bug" }) // Returns: Session ID (e.g., "mcp-client-1234567890")

checkpoint({repo, title, message?, author?})

Creates a checkpoint commit to save your work.

// After fixing a bug const result = await shadowgit.checkpoint({ repo: "my-app", title: "Fix null pointer exception in auth", message: "Added null check before accessing user object", author: "Claude" }) // Returns formatted commit details including the commit hash // After adding a feature await shadowgit.checkpoint({ repo: "my-app", title: "Add dark mode toggle", message: "Implemented theme switching using CSS variables and localStorage persistence", author: "GPT-4" }) // Minimal usage (author defaults to "AI Assistant") await shadowgit.checkpoint({ repo: "my-app", title: "Update dependencies" })

end_session({sessionId, commitHash?})

Ends the AI work session via the Session API. This resumes ShadowGit's auto-commit functionality for regular development.

await shadowgit.end_session({ sessionId: "mcp-client-1234567890", commitHash: "abc1234" // Optional: from checkpoint result })

Parameters:

  • repo (required): Repository name or full path
  • title (required): Short commit title (max 50 characters)
  • message (optional): Detailed description of changes
  • author (optional): Your identifier (e.g., "Claude", "GPT-4", "Gemini") - defaults to "AI Assistant"

Notes:

  • Sessions prevent auto-commits from interfering with AI work
  • Automatically respects .gitignore patterns
  • Creates a timestamped commit with author identification
  • Will report if there are no changes to commit

Security

  • Read-only access: Only safe git commands are allowed
  • No write operations: Commands like commit, push, merge are blocked
  • No destructive operations: Commands like branch, tag, reflog are blocked to prevent deletions
  • Repository validation: Only ShadowGit repositories can be accessed
  • Path traversal protection: Attempts to access files outside repositories are blocked
  • Command injection prevention: Uses execFileSync with array arguments for secure execution
  • Dangerous flag blocking: Blocks --git-dir, --work-tree, --exec, -c, --config, -C and other risky flags
  • Timeout protection: Commands are limited to prevent hanging
  • Enhanced error reporting: Git errors now include stderr/stdout for better debugging

Best Practices for AI Assistants

When using ShadowGit MCP Server, AI assistants should:

  1. Follow the workflow: Always: start_session() → make changes → checkpoint()end_session()
  2. Use descriptive titles: Keep titles under 50 characters but make them meaningful
  3. Always create checkpoints: Call checkpoint() after completing each task
  4. Identify yourself: Use the author parameter to identify which AI created the checkpoint
  5. Document changes: Use the message parameter to explain what was changed and why
  6. End sessions properly: Always call end_session() to resume auto-commits

Complete Example Workflow

// 1. First, check available repositories const repos = await shadowgit.list_repos() // 2. Start session BEFORE making changes const sessionId = await shadowgit.start_session({ repo: "my-app", description: "Refactoring authentication module" }) // 3. Examine recent history await shadowgit.git_command({ repo: "my-app", command: "log --oneline -5" }) // 4. Make your changes to the code... // ... (edit files, fix bugs, etc.) ... // 5. IMPORTANT: Create a checkpoint after completing the task const commitHash = await shadowgit.checkpoint({ repo: "my-app", title: "Refactor authentication module", message: "Simplified login flow and added better error handling", author: "Claude" }) // 6. End the session when done await shadowgit.end_session({ sessionId: sessionId, commitHash: commitHash // Optional but recommended })

Example Use Cases

Debug Recent Changes

// Find what broke in the last hour await shadowgit.git_command({ repo: "my-app", command: "log --since='1 hour ago' --oneline" })

Trace Code Evolution

// See how a function evolved await shadowgit.git_command({ repo: "my-app", command: "log -L :functionName:src/file.ts" })

Cross-Repository Analysis

// Compare activity across projects const repos = await shadowgit.list_repos() for (const repo of repos) { await shadowgit.git_command({ repo: repo.name, command: "log --since='1 day ago' --oneline" }) }

Troubleshooting

No repositories found

  • Ensure ShadowGit app is installed and has tracked repositories
  • Check that ~/.shadowgit/repos.json exists

Repository not found

  • Use list_repos() to see exact repository names
  • Ensure the repository has a .shadowgit.git directory

Git commands fail

  • Verify git is installed: git --version
  • Only read-only commands are allowed
  • Use absolute paths or repository names from list_repos()
  • Check error output which now includes stderr details for debugging

Workflow hints are too verbose

  • Set SHADOWGIT_HINTS=0 environment variable to disable workflow banners
  • This provides cleaner output for programmatic use

Session API offline

If you see "Session API is offline. Proceeding without session tracking":

  • The ShadowGit app may not be running
  • Sessions won't be tracked but git commands will still work
  • Auto-commits won't be paused (may cause fragmented commits)
  • Make sure ShadowGit app is running
  • Go in ShadowGit settings and check that the Session API is healthy

Development

For contributors who want to modify or extend the MCP server:

# Clone the repository (private GitHub repo) git clone https://github.com/shadowgit/shadowgit-mcp-server.git cd shadowgit-mcp-server npm install # Build npm run build # Test npm test # Run locally for development npm run dev # Test the built version locally node dist/shadowgit-mcp-server.js

Publishing Updates

# Update version npm version patch # or minor/major # Build and test npm run build npm test # Publish to npm (public registry) npm publish

License

MIT License - see LICENSE file for details.

Related Projects

  • ShadowGit - Automatic code snapshot tool
  • MCP SDK - Model Context Protocol TypeScript SDK

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