How-To Use Qwen3 with MCP and Tool-Use with Ollama
AI Summary
Video Summary: Integration of Qwen 3 Model with MCP
Presenter: Fad Miraza
Focus: Integrating the Qwen 3 model from Alibaba with the Model Context Protocol (MCP) server for local use.Key Points:
- Introduction to Qwen 3:
- Demonstrated local installation of Qwen 3 with various frameworks (Olama, VLLM).
- Emphasized on the integration of Qwen 3 with MCP.
- What is MCP?
- A method for integrating AI models with external data sources.
- Detailed tutorial available on the channel for creating an MCP server.
- Practical Use Case:
- Using Qwen 3’s quantized model served locally through Olama.
- Installation of Qwen Agent:
- Create a virtual environment.
- Install Qwen Agent from the source, as pip installation may not work due to updates.
- Integrating Qwen Agent and MCP:
- Steps to create a simple app to connect the Qwen model with MCP server.
- Example code demonstrates how to define tools and function calls based on user prompts.
- Running the Integration:
- First run initializes the system, after which it performs quickly.
- Demonstrated returning responses to user prompts effectively.
- Conclusion:
- Comments on Qwen 3’s performance and future of AI models.
- Encouraged viewers to search for more tutorials regarding MCP for additional insights and support.
Links:
- For further details, viewers can access previous videos on MCP and Olama located in the video description.