vinit-devops/repo-architecture-mcp
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The MCP Server is designed to analyze GitHub repositories and generate visual architectural diagrams, enhancing understanding of codebases.
Repository Architecture MCP Server
An MCP (Model Context Protocol) server that analyzes GitHub repositories and automatically generates visual architectural diagrams including dependency graphs, class diagrams, and data flow diagrams.
Features
- Repository Analysis: Analyze both GitHub repositories (public/private) and local repositories
- Multi-language Support: Parse Python, JavaScript, TypeScript, Java, and Go codebases
- Dependency Diagrams: Visualize module dependencies and service interconnections
- Class Diagrams: Generate UML class diagrams with inheritance relationships
- Data Flow Diagrams: Show how data moves through the system
- Multiple Export Formats: Support for Mermaid, SVG, and PNG outputs
- Local Analysis: No GitHub token required for local repository analysis
Diagram Preview Tools
To preview the generated diagrams, you'll need appropriate tools or extensions depending on the output format:
Mermaid Diagrams
Mermaid diagrams can be previewed using:
VS Code Extensions:
-
Mermaid Preview by vstirbu: Install via VS Code Extensions marketplace
- Search for "Mermaid Preview" in VS Code Extensions (Ctrl+Shift+X)
- Click Install
- Open any
.md
file containing Mermaid code blocks and use the preview pane
-
Markdown Preview Mermaid Support by Matt Bierner: Enhanced markdown preview with Mermaid support
- Search for "Markdown Preview Mermaid Support" in VS Code Extensions
- Provides live preview of Mermaid diagrams in markdown files
Online Tools:
- Mermaid Live Editor - Paste your Mermaid code directly
- Mermaid Chart - Professional diagramming tool
Browser Extensions:
- Mermaid Diagrams for Chrome/Firefox - Renders Mermaid in GitHub and other platforms
SVG Diagrams
SVG files can be viewed in:
- Any modern web browser (Chrome, Firefox, Safari, Edge)
- VS Code with SVG preview extensions
- Image viewers that support SVG format
PNG Diagrams
PNG files can be viewed in:
- Any image viewer or web browser
- VS Code with image preview extensions
- Built-in system image viewers
Recommended Setup
For the best experience, we recommend:
- Install the Mermaid Preview extension in VS Code for live Mermaid diagram preview
- Use the Markdown Preview Mermaid Support extension for enhanced markdown rendering
- Keep a browser tab open to Mermaid Live Editor for quick diagram testing
Installation
pip install -e .
For development:
pip install -e ".[dev]"
Verify Installation
Test that the server is working:
# Check command is available
repo-architecture-mcp --help
# Test server startup (Ctrl+C to stop)
repo-architecture-mcp --log-level DEBUG
Usage
As MCP Server
Run the server with stdio transport:
repo-architecture-mcp
With debug logging:
repo-architecture-mcp --log-level DEBUG
Available MCP Tools
analyze_repository
: Analyze repository structure (GitHub URL or local path)generate_dependency_diagram
: Create dependency visualizationgenerate_class_diagram
: Create class relationship diagramgenerate_data_flow_diagram
: Create data flow visualizationget_repository_summary
: Get high-level repository statistics
Local Repository Analysis
For local repositories, you don't need a GitHub token:
# Analyze current directory
repo-architecture-mcp --analyze-local .
# Analyze specific local path
repo-architecture-mcp --analyze-local /path/to/project
MCP Configuration
Quick Setup
- Copy the provided
mcp.json
to your MCP client configuration directory - Set your GitHub token:
export GITHUB_TOKEN=your_token_here
- Add the server to your MCP client
Basic MCP Configuration
For GitHub repositories:
{
"mcpServers": {
"repo-architecture": {
"command": "repo-architecture-mcp",
"args": ["--log-level", "INFO"],
"env": {
"GITHUB_TOKEN": "${GITHUB_TOKEN}"
},
"disabled": false,
"autoApprove": ["analyze_repository"]
}
}
}
For local repositories (no token needed):
{
"mcpServers": {
"repo-architecture-local": {
"command": "repo-architecture-mcp",
"args": ["--log-level", "INFO"],
"cwd": "${workspaceFolder}",
"disabled": false,
"autoApprove": [
"analyze_repository",
"generate_dependency_diagram"
]
}
}
}
For Cursor IDE
Workspace Configuration for Local Analysis (.cursor/settings/mcp.json
):
{
"mcpServers": {
"repo-architecture-local": {
"command": "repo-architecture-mcp",
"cwd": "${workspaceFolder}",
"disabled": false,
"autoApprove": [
"analyze_repository",
"generate_dependency_diagram"
]
}
}
}
User Configuration for GitHub (~/.cursor/settings/mcp.json
):
{
"mcpServers": {
"repo-architecture": {
"command": "repo-architecture-mcp",
"args": ["--max-workers", "4"],
"env": {
"GITHUB_TOKEN": "${GITHUB_TOKEN}"
},
"disabled": false,
"autoApprove": ["analyze_repository"]
}
}
}
For GitHub Copilot Chat
This MCP server integrates seamlessly with GitHub Copilot Chat to provide architectural insights directly in your development workflow. Use the available tools through Copilot's chat interface to analyze repositories and generate diagrams.
Available Tools
analyze_repository
: Analyze repository structure and codegenerate_dependency_diagram
: Create dependency visualizationsgenerate_class_diagram
: Generate UML class diagramsgenerate_data_flow_diagram
: Create data flow diagramsget_repository_summary
: Get repository statistics
Configuration Options
The server accepts these command-line arguments:
--config PATH
: Custom configuration file--log-level LEVEL
: Set logging level (DEBUG, INFO, WARNING, ERROR)--github-token TOKEN
: GitHub authentication token--max-workers N
: Number of parallel workers (default: 4)--memory-limit MB
: Memory limit in megabytes (default: 2048)--cache-ttl HOURS
: Cache time-to-live (default: 24)--output-format FORMAT
: Default output format (mermaid, svg, png)
Environment Variables
GITHUB_TOKEN
: GitHub personal access tokenLOG_LEVEL
: Logging levelREPO_ARCH_CONFIG
: Path to configuration file
See examples/mcp-config-examples.md
for more detailed configuration examples and examples/local-repo-config.md
for local repository setup.
Development
Project Structure
src/repo_architecture_mcp/
āāā __init__.py # Package initialization
āāā main.py # Main entry point
āāā server.py # Core MCP server implementation
Running Tests
pytest
Code Formatting
black src/ tests/
Type Checking
mypy src/
License
MIT License