Dummy
Provides a functional example of a FastMCP server for learning Model Context Protocol integration.
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This simple MCP server example is designed for beginners to understand and integrate with the Model Context Protocol (MCP). It showcases how an LLM can leverage external tools, such as basic arithmetic operations (multiply, percentage, add), to accurately solve complex, multi-step math and reasoning problems. By offloading precise calculations to the MCP server, LLMs can overcome their inherent limitations in numerical accuracy, making them more capable for real-world applications requiring reliable computation.
Características Principales
- 0 GitHub stars
- Includes a test client for easy setup and verification
- Example implementation of a FastMCP server
- Demonstrates LLM reasoning calculation with external tools
- Supports integration configurations for Cursor, VS Code, and Claude Desktop
Casos de Uso
- Learning and understanding Model Context Protocol (MCP) integration
- Enabling LLMs to perform accurate, real-world mathematical calculations
- Developing and testing LLM tool-use capabilities
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