📖 **Blog Post**: Learn more about this project in the detailed blog post: [Telephony MCP Server for Agentic AI and Language
📖 Blog Post: Learn more about this project in the detailed blog post: [Telephony MCP Server for Agentic AI and Language
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.
mcp[cli]), FastAPI, httpx, pyjwt, python-dotenv, uvicorn, pydantic (see pyproject.toml for details) - Vonage API credentials (API key, secret, application ID, private key) - Public URL for callback server (for production use)Compare MCP servers by category, or browse hosted MCP servers if you prefer an endpoint over a local process.
Check the linked publisher documentation and your connected client's tool list. Names and availability can vary with the server version and account permissions.
| Tool | What it does |
|---|---|
| MCP | Model Context Protocol) follows the same concept: it offers a collection of pre-built tools and a framework for writing new tools and handling function calling. |
{
"mcpServers": {
"telephony": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"--init",
"-e",
"DOCKER_CONTAINER=true",
"telephony-mcp-server"
]
}
}
}From the project documentation. Replace placeholders and example paths before connecting.
mcp[cli]), FastAPI, httpx, pyjwt, python-dotenv, uvicorn, pydantic (see pyproject.toml for details) - Vonage API credentials (API key, secret, application ID, private key) - Public URL for callback server (for production use)Your assistant inside the workspace — read channels, search history, post messages and tame the noise.
Build a programmable telecommunications stack for connecting telephony services with the Internet via a cloud-based utility.
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