mcp-vs-function-calling
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This repository illustrates the difference between LLM function calling and the Model Context Protocol (MCP) by providing examples of each approach in controlling Home Assistant lights.
The repository demonstrates the distinction between traditional function calling and the newer Model Context Protocol (MCP) in the context of controlling Home Assistant lights. Function calling allows AI assistants to invoke predefined functions within their environment, while MCP servers act as intermediaries, facilitating communication between AI applications and third-party services through a standardized protocol. The repository includes two examples: a CLI app using OpenAI's function calling and a Node.js MCP server. The MCP server exposes a `control_lights` function to LLMs that use the MCP protocol, showcasing how MCP builds on function calling by handling external service communication, authentication, and command execution separately.
Features
- Standardized Protocol: MCP provides a standardized way for LLMs to interact with external services.
- Separation of Concerns: MCP servers handle external communication, allowing LLMs to focus on core functionalities.
- Interoperability: MCP servers can be used by any MCP-compatible LLM, enhancing flexibility.
- Function Exposure: MCP servers expose functions that can be utilized by LLMs, similar to APIs.
- Enhanced Security: MCP servers manage authentication and authorization for external services.
