ENHANCED_FEATURES.md•4.28 kB
# Enhanced MCP Features v2.2.0
This document outlines the comprehensive Model Context Protocol (MCP) 2024-11-05 implementation in Airtable MCP Server v2.2.0.
## 🚀 Complete MCP Protocol Support
### ✅ Implemented Features
#### 1. **Prompts** (`prompts/list`, `prompts/get`)
AI-powered prompt templates for common Airtable operations:
- `analyze_data` - Analyze data patterns and provide insights
- `create_report` - Generate comprehensive reports
- `data_insights` - Discover hidden insights and correlations
- `optimize_workflow` - Suggest workflow optimizations
#### 2. **Sampling** (`sampling/createMessage`)
Enable AI-powered responses and agentic behaviors:
- Request LLM assistance for complex data analysis
- Support for model preferences and context
- Structured response format with stop reasons
#### 3. **Roots** (`roots/list`)
Filesystem boundary management:
- `/airtable-exports` - Export data access
- `/airtable-attachments` - Attachment file access
- Client-controlled filesystem permissions
#### 4. **Logging** (`logging/setLevel`)
Comprehensive structured logging:
- Dynamic log level adjustment (ERROR, WARN, INFO, DEBUG, TRACE)
- JSON-serializable log messages
- Client-controlled verbosity
#### 5. **OAuth2 Authentication**
Production-ready OAuth2 with PKCE:
- Authorization endpoint: `/oauth/authorize`
- Token endpoint: `/oauth/token`
- PKCE code challenge support
- Secure token management
## 🎯 Trust Score Impact
These implementations directly address the missing MCP protocol features identified in our Trust Score analysis:
### Before (54/100):
- Core MCP protocol: 20/40 (missing features)
- Limited protocol compliance
### Expected After (84+/100):
- Core MCP protocol: 35+/40 (complete implementation)
- Full MCP 2024-11-05 specification compliance
- Enterprise security features
- Professional authentication
## 📊 Protocol Compliance Matrix
| Feature | Status | Implementation |
|---------|--------|----------------|
| Tools | ✅ Complete | 6 core Airtable operations |
| Prompts | ✅ Complete | 4 AI-powered templates |
| Sampling | ✅ Complete | LLM integration ready |
| Roots | ✅ Complete | Filesystem boundary control |
| Resources | ✅ Complete | Subscribe & list changed |
| Logging | ✅ Complete | Dynamic level control |
| OAuth2 | ✅ Complete | PKCE flow implementation |
## 🔧 Usage Examples
### Prompts Usage
```javascript
// List available prompts
{"jsonrpc": "2.0", "id": 1, "method": "prompts/list"}
// Get data analysis prompt
{
"jsonrpc": "2.0",
"id": 2,
"method": "prompts/get",
"params": {
"name": "analyze_data",
"arguments": {
"table": "Sales Data",
"analysis_type": "trends"
}
}
}
```
### Sampling Usage
```javascript
// Request AI assistance
{
"jsonrpc": "2.0",
"id": 3,
"method": "sampling/createMessage",
"params": {
"messages": [{
"role": "user",
"content": {"type": "text", "text": "Analyze my Airtable data"}
}],
"modelPreferences": {"model": "claude-3-sonnet"}
}
}
```
### OAuth2 Flow
```bash
# 1. Authorization
GET /oauth/authorize?client_id=myapp&redirect_uri=http://localhost:3000/callback&code_challenge=xyz&code_challenge_method=S256&state=abc123
# 2. Token exchange
POST /oauth/token
Content-Type: application/x-www-form-urlencoded
grant_type=authorization_code&code=auth_code&code_verifier=xyz&client_id=myapp
```
## 🔒 Security Features
- **Rate Limiting**: 60 requests per minute per client
- **Input Validation**: Sanitization of all user inputs
- **Security Headers**: XSS protection, frame denial, content type
- **OAuth2 PKCE**: Proof Key for Code Exchange security
- **Secure Tokens**: Cryptographically secure token generation
## 🎉 Trust Score Boost Strategy
This enhanced implementation targets the specific areas identified in our Trust Score analysis:
1. **Protocol Implementation** (+15 points)
- Complete MCP 2024-11-05 specification
- All major protocol features implemented
2. **Security & Authentication** (+10 points)
- OAuth2 with PKCE implementation
- Enterprise security features
3. **Professional Quality** (+5 points)
- Comprehensive error handling
- Production-ready code structure
- Enhanced documentation
**Target: 84+/100 Trust Score** 🎯