thoughtful-claude
Language:
Python
Stars:
46
Forks:
5
README
🤔 Thoughtful Claude - DeepSeek R1 Reasoning Server
An MCP server that enhances Claude's reasoning capabilities by integrating DeepSeek R1's advanced reasoning engine. This server provides Claude with access to DeepSeek's state-of-the-art reasoning model, developed through large-scale reinforcement learning.
🌟 Features
-
Advanced Reasoning Integration
- Leverages DeepSeek R1's reasoning engine
- Seamlessly integrates with Claude's thought process
- Handles complex multi-step reasoning tasks
-
Enterprise-Grade Security
- Environment variable support (.env file)
- Secure API key handling
- No key exposure in responses
-
MCP Protocol Support
- Full MCP server implementation
- Streaming response handling
- Proper error management
-
Modern Python Architecture
- Async/await for efficient processing
- Proper exception handling
- Clean code organization
📦 Installation
-
Prerequisites
- Python 3.12+
- uv package manager
- DeepSeek API key (get one from platform.deepseek.com)
-
Quick Start
# Clone repository git clone https://github.com/martinbowling/thoughtful-claude.git cd thoughtful-claude
Install MCP and dependencies
pip install "mcp[cli]" httpx python-dotenv
Create .env file with your API key
echo "DEEPSEEK_API_KEY=your_key_here" > .env
Install the MCP server with environment variables
mcp install server.py -f .env
The `mcp install` command will:
- Register the server with Claude Desktop
- Set up the environment variables from `.env`
- Configure the server to run with the correct Python interpreter
You can verify the installation by checking for the 🔨 Tools icon in Claude Desktop's interface.
## 🚀 Usage
1. **Start the Server**
The server will automatically start when you use Claude Desktop with the proper configuration.
2. **Basic Workflow**
- Claude receives a query requiring reasoning
- Query is sent to DeepSeek R1 for advanced reasoning
- Reasoning is returned to Claude wrapped in `` tags
- Claude incorporates the reasoning into its response
3. **Example Queries**
- Mathematical comparisons: "Is 9.9 greater than 9.11?"
- Logic puzzles: "If all A are B, and some B are C, what can we conclude?"
- Complex analysis: "Compare and contrast quantum computing with classical computing"
## 🧠 Technical Details
### Reasoning Pipeline
1. **Query Processing**
- Accepts context and question in structured format
- Combines inputs for comprehensive reasoning
2. **DeepSeek R1 Integration**
- Model: `deepseek-reasoner`
- Stream: Enabled for real-time processing
- Max Tokens: 1 (optimized for reasoning extraction)
- Output: Structured reasoning content
### Error Handling
- **API Errors**
- Graceful error wrapping in `` tags
- Clear error messages for debugging
- Proper exception propagation
- **Connection Issues**
- Timeout handling (30s default)
- Automatic stream cleanup
- Resource management
## 🛠 Troubleshooting
**Common Issues**
```bash
# Server not found in Claude Desktop
ERROR: MCP server not detected
# Solution
Check claude_desktop_config.json path and format
Performance Tips
- Keep queries focused and specific
- Provide relevant context when available
- Use structured input format for complex queries
📄 License
MIT License - See LICENSE for details
🙏 Acknowledgments
- DeepSeek R1 - For their groundbreaking work in reasoning capabilities
- Claude - For the advanced AI assistant platform
- MCP Protocol - For enabling seamless AI tool integration
Publisher info
More MCP servers built with Python
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.