CLAUDE_REQUIREMENTS_ALIGNMENT.md•5.27 kB
# Claude Desktop Extensions - Requirements Alignment
## 🎯 Current Status vs. Claude Requirements
### ❌ **Requirements Gaps to Address**
#### 1. **License Requirement**
- **Required**: MIT License
- **Current**: Apache License 2.0
- **Action**: Change license to MIT
#### 2. **Platform Requirement**
- **Required**: Built with Node.js
- **Current**: Python backend + Node.js DXT wrapper
- **Action**: Convert to pure Node.js implementation
#### 3. **GitHub Profile Linking**
- **Required**: "author" field pointed at GitHub profile
- **Current**: Basic author info
- **Action**: Update manifest.json author field
### ✅ **Requirements Already Met**
- **✅ Publicly available on GitHub**: Repository is public
- **✅ Valid manifest.json**: Complete and properly structured
- **✅ Professional implementation**: Production-ready code quality
## 🔧 **Required Changes**
### 1. License Update
Change from Apache 2.0 to MIT License:
```bash
# Replace LICENSE file content
```
### 2. Convert to Pure Node.js Implementation
**Current Architecture**: Python backend + Node.js MCP wrapper
**Required Architecture**: Pure Node.js MCP server
**Options**:
A. **Standalone Node.js Version** (Recommended)
- Implement core scientific reasoning in Node.js
- Use Neo4j Node.js driver directly
- Integrate external APIs (PubMed, Google Scholar) via Node.js
- Remove Python dependency entirely
B. **Hybrid Approach** (Alternative)
- Keep Python backend as optional enhancement
- Implement basic reasoning capabilities in Node.js
- Make Python backend an optional advanced feature
### 3. Update Manifest Author Field
```json
{
"author": {
"name": "SaptaDey",
"email": "sapta@example.com",
"url": "https://github.com/SaptaDey"
}
}
```
### 4. Add Best Practice Compliance
#### Performance Requirements:
- ✅ **Response Time**: Current 30s timeout (meets <1s for simple ops)
- ✅ **Error Handling**: Comprehensive error management
- ✅ **Uptime**: Stateless design supports 99%+ uptime
#### User Experience Requirements:
- ✅ **Unique Tool Names**: All 4 tools have unique, descriptive names
- ✅ **Clear Purposes**: Each tool has detailed descriptions
- **❌ Example Prompts**: Need 3+ example prompts (currently have 2)
#### Security Requirements:
- ✅ **Secure Implementation**: No external auth needed for local operation
- ✅ **Privacy**: All processing happens locally
- **❌ Privacy Policy**: Need to add privacy policy
## 🚀 **Recommended Implementation Strategy**
### Option A: Pure Node.js Scientific Reasoning (Recommended)
Create a standalone Node.js implementation that doesn't require Python:
```javascript
// Core scientific reasoning using:
// - Neo4j Node.js driver for graph operations
// - OpenAI/Anthropic APIs for LLM reasoning
// - Axios for external API calls (PubMed, Google Scholar)
// - Built-in graph analysis algorithms
```
**Benefits**:
- ✅ Meets Claude's Node.js requirement
- ✅ Simpler installation (no Python dependency)
- ✅ Better performance for desktop integration
- ✅ Easier maintenance and distribution
**Implementation Plan**:
1. Port core reasoning logic to Node.js
2. Implement Neo4j graph operations
3. Add external API integrations
4. Maintain same tool interfaces
5. Keep existing error handling and logging
### Option B: Document Python Requirement Exception
**Alternative approach**: Request exception for Python backend requirement since:
- Scientific computing often requires Python
- Neo4j + Python ecosystem is mature for research
- Your implementation is already production-ready
## 📋 **Action Items for Compliance**
### Immediate Changes (1-2 hours):
1. **✅ Update LICENSE** to MIT
2. **✅ Update manifest.json** author field with GitHub URL
3. **✅ Add third example prompt** to meet 3+ requirement
4. **✅ Create privacy policy** document
### Medium-term Changes (1-2 weeks):
5. **🔄 Evaluate Node.js conversion** vs. exception request
6. **🔄 Implement chosen approach**
7. **🔄 Update documentation** for new architecture
8. **🔄 Test compliance** with updated requirements
### Before Submission:
9. **✅ Validate with MCP inspector**
10. **✅ Test across Claude platforms**
11. **✅ Ensure all best practices compliance**
## 💡 **Recommendation**
**Go with Option A (Pure Node.js)** because:
- Aligns perfectly with Claude's requirements
- Broader compatibility with desktop apps
- Simpler deployment and maintenance
- Better long-term ecosystem fit
The scientific reasoning capabilities can be effectively implemented in Node.js using:
- **Graph Analysis**: NetworkX equivalent libraries like `graphology`
- **Scientific APIs**: Direct integration with PubMed, CrossRef, etc.
- **LLM Integration**: OpenAI/Anthropic/local model APIs
- **Neo4j**: Excellent Node.js driver support
This approach maintains all your innovative scientific reasoning features while meeting Claude's technical requirements perfectly.
## 🎯 **Next Steps**
1. **Decide on implementation approach**
2. **Start with quick compliance fixes** (license, manifest, prompts)
3. **Plan Node.js conversion** if going with Option A
4. **Update submission timeline** accordingly
Would you like me to help implement any of these changes?