pqc-analyzer-mcp 1.0.0

MCP server for analyzing Git commits for Post-Quantum Cryptography (PQC) readiness

PQC Readiness Analyzer MCP Server

A Model Context Protocol (MCP) server that analyzes Git commits for Post-Quantum Cryptography (PQC) readiness. This server integrates with your crypto-agility framework to provide automated analysis of cryptographic algorithm usage and quantum risk assessment.

Features

• Git Commit Analysis: Analyzes code changes in Git commits to detect cryptographic algorithms
• PQC Algorithm Detection: Identifies classical, PQC, and hybrid cryptographic algorithms
• Readiness Scoring: Calculates deterministic PQC readiness percentages
• Risk Classification: Categorizes quantum risk levels (LOW, MEDIUM, HIGH, CRITICAL)
• Detailed Reporting: Provides comprehensive analysis with recommendations

Supported Algorithms

Post-Quantum (PQC-Safe)

• Dilithium (Dilithium2, Dilithium3, Dilithium5) - NIST FIPS 204
• Falcon (Falcon-512, Falcon-1024) - NIST FIPS 206
• SPHINCS+ - NIST FIPS 205
• Hybrid (RSA+Dilithium) - Experimental

Classical (Quantum-Vulnerable)

• RSA (RSA-2048, RSA-3072, RSA-4096)
• ECDSA (P-256, secp256r1)

Hash Functions (Quantum-Resistant)

• SHA-256, SHA-3 (quantum-resistant for hashing)

Installation

Prerequisites

• Python 3.10 or higher
• Git installed and accessible from command line
• Access to your Git repository

Setup

1. Install dependencies:

cd /Users/sucharitapaul/Documents/Cline/MCP/pqc-analyzer
pip install -r requirements.txt

2. Make the server executable:

chmod +x server.py

Configuration

Add the server to your MCP settings file at: /Users/sucharitapaul/Library/Application Support/IBM Bob/User/globalStorage/ibm.bob-code/settings/mcp_settings.json

{
  "mcpServers": {
    "pqc-analyzer": {
      "command": "python3",
      "args": ["/Users/sucharitapaul/Documents/Cline/MCP/pqc-analyzer/server.py"],
      "disabled": false,
      "alwaysAllow": [],
      "disabledTools": []
    }
  }
}

Available Tools

1. analyze_commit_pqc_readiness

Analyzes a Git commit for PQC readiness and provides a comprehensive report.

Parameters:

• commit_id (required): Git commit SHA to analyze
• repo_path (optional): Path to Git repository (defaults to current directory)

Returns:

• Total algorithms detected
• PQC-safe vs unsafe counts
• Classical, PQC, and hybrid algorithm counts
• PQC readiness percentage (0-100%)
• Quantum risk level (LOW/MEDIUM/HIGH/CRITICAL)
• Detailed list of detected algorithms with file locations
• Actionable recommendations

Example Usage:

Analyze commit abc123 for PQC readiness in the current repository

2. get_pqc_algorithm_info

Provides detailed information about cryptographic algorithms.

Parameters:

• algorithm (optional): Specific algorithm name (DILITHIUM, FALCON, SPHINCS, RSA, ECDSA, HYBRID)

Returns:

• Algorithm specifications
• NIST standardization status
• Security levels
• Key sizes and signature sizes
• Quantum safety status
• Recommended use cases

Example Usage:

Get information about DILITHIUM algorithm

How It Works

Algorithm Detection

The server uses pattern matching to detect cryptographic algorithms in code:

1. Pattern Recognition: Scans code for algorithm-specific patterns (e.g., RSA_3072, DilithiumKeyPairGenerator, AlgorithmType.FALCON)
2. File Analysis: Analyzes Java, Python, JavaScript, TypeScript, Go, C/C++ files
3. Context Extraction: Captures the code context where algorithms are used

PQC Readiness Calculation

PQC Readiness % = (PQC-Safe Algorithms / Total Algorithms) × 100

Risk Level Classification:

• LOW (90-100%): Excellent PQC readiness
• MEDIUM (70-89%): Good progress, some work needed
• HIGH (40-69%): Significant quantum risk exposure
• CRITICAL (0-39%): Immediate action required

Recommendations Engine

The server provides context-aware recommendations:

• Migration strategies for classical algorithms
• Hybrid approach suggestions for gradual transitions
• NIST standard compliance guidance
• Priority levels based on risk assessment

Integration with Crypto-Agility Framework

This MCP server is designed to work seamlessly with your existing crypto-agility framework:

• Recognizes AlgorithmType enum values (RSA_3072, ECDSA_P256, DILITHIUM3, FALCON512, HYBRID_RSA_DILITHIUM)
• Detects key pair generators (RSAKeyPairGenerator, DilithiumKeyPairGenerator, etc.)
• Identifies certificate builders (ClassicalCertificateBuilder, PQCCertificateBuilder, HybridCertificateBuilder)
• Analyzes policy-driven configurations

Example Analysis Report

# PQC Readiness Analysis Report

## Commit Information
- Commit ID: abc123def456
- Repository: /path/to/repo

## Summary Statistics
- Total Algorithms Detected: 5
- PQC-Safe Algorithms: 3
- PQC-Unsafe Algorithms: 2
- Classical Algorithms: 2
- Hybrid Algorithms: 1

## PQC Readiness Score
- Score: 60.0%
- Quantum Risk Level: HIGH

## Detected Algorithms

### 1. RSA (CLASSICAL)
- File: `src/main/java/com/example/KeyGen.java`
- Line: 45
- PQC Safe: ❌ No
- Context: `KeyPairGenerator.getInstance("RSA")`

### 2. DILITHIUM (PQC)
- File: `src/main/java/com/example/PQCKeyGen.java`
- Line: 23
- PQC Safe: ✅ Yes
- Context: `new DilithiumKeyPairGenerator()`

## Recommendations

⚠️ CRITICAL: Found 2 classical algorithm(s). Consider hybrid approach (RSA+Dilithium) for gradual migration.

🟡 MEDIUM PRIORITY: PQC readiness is moderate. Plan migration strategy for remaining classical algorithms.

✅ Good: 1 hybrid algorithm(s) detected. This provides a balanced transition path to full PQC.

Troubleshooting

Common Issues

1. Git command not found

   • Ensure Git is installed and in your PATH
   • Test with: git --version

2. Permission denied

   • Make server.py executable: chmod +x server.py

3. MCP SDK not found

   • Install dependencies: pip install -r requirements.txt

4. Invalid commit ID

   • Verify commit exists: git log --oneline
   • Use full or short SHA (minimum 7 characters)

Development

Testing the Server

# Test locally
python3 server.py

# Test with a specific commit
# (Use through MCP client or IBM Bob)

Extending Algorithm Detection

To add new algorithm patterns, edit the ALGORITHM_PATTERNS dictionary in server.py:

'NEW_ALGORITHM': {
    'patterns': [
        r'pattern1',
        r'pattern2',
    ],
    'family': 'PQC',  # or 'CLASSICAL', 'HYBRID'
    'pqc_safe': True  # or False
}

License

Part of the crypto-agility framework Bob-athon initiative.

Support

For issues or questions, refer to the main crypto-agility framework documentation.