# MCP Vallm Integration - Summary

## ✅ Integration Complete

The MCP (Model Context Protocol) integration for vallm has been successfully implemented and tested.

## 📁 Files Created/Modified

### Core MCP Integration
- `mcp/server/_tools_vallm.py` - Complete MCP tools implementation (509 lines)
- `mcp/server/self_server.py` - MCP server with fixed imports (184 lines)
- `mcp_server.py` - Startup script for project root (38 lines)

### Testing & Documentation
- `test_mcp.py` - Comprehensive manual test suite
- `mcp/tests/quick_test.py` - Fast local validation checks
- `mcp/tests/container_e2e.py` - Container-side end-to-end runner
- `mcp/tests/test_e2e.py` - Host-side Docker build/run checks
- `examples/mcp_demo.py` - Working examples and demonstrations
- `README.md` - Updated with MCP integration section
- `mcp/README.md` - Updated with quick start guide

### Docker Test Infrastructure
- `mcp/tests/Dockerfile.test` - Docker image for the container-side e2e runner
- `mcp/tests/Dockerfile.client` - Legacy client image kept for reference only
- `mcp/tests/docker-compose.yml` - Single-service Docker Compose configuration
- `mcp/tests/run_e2e.sh` - Complete test runner script for build + run automation

## 🛠 Available MCP Tools

| Tool | Description | Status |
|------|-------------|--------|
| `validate_syntax` | Multi-language syntax checking | ✅ Working |
| `validate_imports` | Import resolution validation | ✅ Working |
| `validate_security` | Security issue detection | ✅ Working |
| `validate_code` | Full pipeline validation | ✅ Working |

## 🚀 Usage

### Start MCP Server
```bash
python3 mcp_server.py

# Or use the packaged module directly
python3 -m mcp.server.self_server
```

### Claude Desktop Configuration
```json
{
  "mcpServers": {
    "vallm": {
      "command": "python3",
      "args": ["/path/to/vallm/mcp_server.py"],
      "env": {
        "PYTHONPATH": "/path/to/vallm/src"
      }
    }
  }
}
```

### Example Tool Call
```json
{
  "method": "tools/call",
  "params": {
    "name": "validate_security",
    "arguments": {
      "code": "eval('1+1')",
      "language": "python"
    }
  }
}
```

## ✅ Testing Results

All tests pass successfully:
- ✅ Syntax validation (Python, JavaScript, error detection)
- ✅ Import validation (valid/invalid imports)
- ✅ Security validation (secure/insecure code patterns)
- ✅ Full pipeline validation (multiple validators, selective enabling)
- ✅ MCP server communication (initialize, tools/list, tools/call)
- ✅ Container-side e2e runner (`mcp/tests/container_e2e.py`)
- ✅ Quick local validation (`mcp/tests/quick_test.py`)

## 📊 Features

### Multi-Language Support
- Python, JavaScript, TypeScript, Go, Rust, Java, C/C++, Ruby, PHP, Swift, Kotlin, Scala, and more

### Validation Types
- **Syntax**: AST parsing and tree-sitter error detection
- **Imports**: Module resolution and dependency checking
- **Security**: Pattern-based vulnerability detection
- **Complexity**: Cyclomatic complexity and maintainability metrics
- **Full Pipeline**: Combined validation with configurable options

### Response Format
Consistent JSON responses with:
- Success status and verdict
- Detailed scores and weights
- Structured issue reporting
- Validator-specific details

## 🔧 Integration Details

### Architecture
- `_tools_vallm.py` provides the core validation functions
- `self_server.py` handles MCP protocol communication
- `mcp_server.py` provides easy startup from project root

### Error Handling
- Graceful failure with detailed error messages
- Consistent response format across all tools
- Proper exception handling and logging

### Performance
- Fast syntax validation (milliseconds)
- Efficient import resolution
- Pattern-based security scanning
- Configurable validation pipeline

## 🐳 Docker Testing Infrastructure

The MCP integration includes comprehensive Docker-based testing.

The default flow uses a single container-side runner, so no separate server/client compose split is required.

### Quick Tests
```bash
# Fast local validation
python3 mcp/tests/quick_test.py
```

### Full Docker E2E Tests
```bash
# Complete test suite with Docker
bash mcp/tests/run_e2e.sh

# With single-service docker-compose
bash mcp/tests/run_e2e.sh --compose
```

### Test Components
- **Container Tests**: Full MCP protocol validation in isolated environment
- **Build Tests**: Verify Docker image creation and dependencies
- **Integration Tests**: Client-server communication validation
- **Protocol Tests**: JSON-RPC compliance and error handling

### Test Coverage
- ✅ MCP server startup and initialization
- ✅ All 4 validation tools via MCP protocol
- ✅ Error handling and invalid requests
- ✅ Multi-language validation support
- ✅ Docker container isolation
- ✅ JSON-RPC protocol compliance

## 🎯 Next Steps

The MCP integration is ready for production use. Users can:
1. Start the MCP server
2. Configure their LLM client (Claude Desktop, etc.)
3. Use vallm validation tools directly in conversations

All validation capabilities of vallm are now available through the MCP interface, making it easy to integrate code validation into AI-assisted development workflows.
