AI Full Case
Demonstrates building and utilizing Model-Computer Protocol (MCP) Client and Server components to facilitate an end-to-end process from user query to large model response, incorporating tool and service invocation.
About
This comprehensive project showcases the full capabilities of the Model-Computer Protocol (MCP) ecosystem, guiding users through the construction and utilization of both MCP Client and MCP Server components. It illustrates an entire workflow, starting from a user's initial query, intelligently routing to appropriate external tools or services via configurable MCP Servers, and finally integrating the results with a large language model to generate a complete answer. The project includes examples like a local calculator MCP Server and configurations for external services, providing a practical blueprint for integrating diverse functionalities into AI-driven applications.
Key Features
- Implement a complete MCP Client workflow for invoking multiple MCP Servers
- 0 GitHub stars
- Build and deploy local MCP Servers (e.g., calculator service)
- Integrate MCP Server results with large language models for synthesized answers
- Automate tool selection based on user input for AI-driven responses
- Test connectivity for both local and remote MCP Servers
Use Cases
- Integrating diverse external services (e.g., APIs, local tools) with AI applications
- Building custom tool-calling agents for large language models
- Developing and testing MCP-compliant services and clients for AI ecosystems
