📖 Blog Post: Learn more about this project in the detailed blog post: Telephony MCP Server for Agentic AI and Language Models
Telephony MCP Server
Demo Using Claude Desktop
Agentic Telephony Conversation with Speech Recognition
Use SMS during mid-conversation
SMS Enquiry (Send and Receive)
Demo Using GitHub Copilot
Introduction
This directory contains MCP (Model Context Protocol) Server tools for telephony operations, such as making voice calls and sending SMS messages using the Vonage API. These tools are designed to be integrated with Large Language Model (LLM) applications, enabling LLMs to perform real-world actions beyond simple text generation.
LLMs and Tool Integration
LLMs (Large Language Models) are advanced token generators—they can generate text, images, or even video based on input prompts. However, their core capability is limited to generating content; they cannot access external data or perform actions in the real world on their own.
To extend their functionality, LLMs can be connected to external tools. For example, when a user asks, "What's the weather today?" the LLM can invoke a backend API tool like get_weather(city) via a system prompt, parse the response, and return the result to the user. This tool-calling mechanism transforms a basic LLM into a powerful LLM Application.
