Lyra Intel

🚀 Lyra Intel

A complete intelligence infrastructure engine for large-scale codebase analysis, offering AI-driven insights, security scanning, and semantic search to analyze codebases 10 - 100 times faster.

🚀 Quick Start

Get up and running in just a few commands. No complex setup needed.

# 1. Clone the repository
git clone https://github.com/nirholas/lyra-intel.git
cd lyra-intel

# 2. Install (requires Python 3.9+)
pip install -e .

# 3. Quick scan - see what Lyra Intel finds in 30 seconds
python cli.py scan /path/to/any/code

# 4. Full analysis - comprehensive report
python cli.py analyze /path/to/code --output ./results.json

# 5. View results
cat results.json | jq .  # Pretty print the JSON

# 6. (Optional) Start the web dashboard
python launch_dashboard.py
# Then visit http://localhost:8080

What to Expect

After running scan, you'll see:

✅ Analyzing repository...
📊 Files analyzed: 156
📈 Total functions: 1,247
⚠️  Issues found: 43
🔐 Security findings: 5

Running analyze produces detailed JSON with:

• Metrics: Line counts, complexity, test coverage
• Security: Vulnerabilities, secrets detection
• Dependencies: Import relationships, circular deps
• Patterns: Code smells, anti-patterns
• Git history: Commit stats, contributors

See more quick examples →

✨ Features

Lyra Intel includes 70+ specialized components organized by capability:

📦 Installation

# 1. Clone the repository
git clone https://github.com/nirholas/lyra-intel.git
cd lyra-intel

# 2. Install (requires Python 3.9+)
pip install -e .

💻 Usage Examples

Basic Usage

# Quick scan - see what Lyra Intel finds in 30 seconds
python cli.py scan /path/to/any/code

# Full analysis - comprehensive report
python cli.py analyze /path/to/code --output ./results.json

Advanced Usage

# Start the web dashboard
python launch_dashboard.py
# Then visit http://localhost:8080

📚 Documentation

Lyra Intel includes comprehensive documentation covering every aspect of the platform:

Core Documentation

• 📖 FEATURES.md: Detailed feature documentation with code examples for semantic search, SSO integration, language parsers, etc.
• 💻 EXAMPLES.md: Working code examples for quick start, core analysis workflows, semantic search usage, etc.
• 🏗️ ARCHITECTURE.md: Technical architecture documentation, including system overview, core component architecture, data flow diagrams, etc.
• 🔌 API.md: Complete REST API reference
• 🚀 DEPLOYMENT.md: Deployment guides (Docker, Kubernetes, AWS)
• 📜 openapi.yaml: OpenAPI 3.0 specification

Real-World Workflows

• 💼 USE_CASES.md: Practical workflows and best practices for securing legacy codebases, pre-commit code quality gates, CI/CD security pipelines, etc.

Getting Started Guides

• ⚡ QUICKSTART.md: Get up and running in 5 minutes
• 🔧 INSTALL.md: Installation instructions
• 📚 TUTORIAL.md: Step-by-step tutorials for common use cases, such as first analysis, security audit, semantic search setup, etc.
• ❓ FAQ.md: Frequently asked questions
• 🤝 CONTRIBUTING.md: Contribution guidelines

🔧 Technical Details

Lyra Intel combines deep code analysis, AI-powered insights, semantic code search, security scanning, knowledge graphs, and forensic analysis to understand, secure, and improve codebases of any size. It uses AST parsing, dependency graphs, complexity metrics, and AI models (OpenAI, Anthropic, or local models) to provide comprehensive analysis and actionable insights.

📄 License

MIT License - see LICENSE file for details.

🌐 Live HTTP Deployment

Lyra Intel is deployed and accessible over HTTP via MCP Streamable HTTP transport — no local installation required.

Endpoint:

https://modelcontextprotocol.name/mcp/lyra-intel

Connect from any MCP Client

Add to your MCP client configuration (Claude Desktop, Cursor, SperaxOS, etc.):

{
  "mcpServers": {
    "lyra-intel": {
      "type": "http",
      "url": "https://modelcontextprotocol.name/mcp/lyra-intel"
    }
  }
}

Available Tools (6)

Example Requests

Analyze a GitHub repo:

curl -X POST https://modelcontextprotocol.name/mcp/lyra-intel \
  -H "Content-Type: application/json" \
  -d '{"jsonrpc":"2.0","id":1,"method":"tools/call","params":{"name":"analyze_repo","arguments":{"owner":"nirholas","repo":"universal-crypto-mcp"}}}'

Get repo file tree:

curl -X POST https://modelcontextprotocol.name/mcp/lyra-intel \
  -H "Content-Type: application/json" \
  -d '{"jsonrpc":"2.0","id":1,"method":"tools/call","params":{"name":"get_repo_tree","arguments":{"owner":"nirholas","repo":"agenti"}}}'

Search code:

curl -X POST https://modelcontextprotocol.name/mcp/lyra-intel \
  -H "Content-Type: application/json" \
  -d '{"jsonrpc":"2.0","id":1,"method":"tools/call","params":{"name":"search_code","arguments":{"query":"MCP server","language":"typescript"}}}'

List All Tools

curl -X POST https://modelcontextprotocol.name/mcp/lyra-intel \
  -H "Content-Type: application/json" \
  -d '{"jsonrpc":"2.0","id":1,"method":"tools/list"}'

Also Available On

• SperaxOS — Browse and install from the MCP marketplace
• All 27 MCP servers — See the full catalog at modelcontextprotocol.name

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