khan2a/telephony-mcp-server

Overview

A minimal MCP server for telephony tasks, integrating Vonage APIs to enable voice calls, SMS, and speech-to-text from LLM applications. Built in Python, it offers a straightforward interface for adding telephony capabilities to AI tools.

Best for

Best for
Python developers building LLM-integrated tools that need basic telephony actions

Use cases

• Trigger voice calls or send SMS via LLM chatbots or assistants
• Transcribe incoming speech to text for automated processing
• Integrate telephony actions into custom AI workflows or agents

Notes

A minimal MCP server for telephony tasks, integrating Vonage APIs to enable voice calls, SMS, and speech-to-text from LLM applications. Built in Python, it offers a straightforward interface for adding telephony capabilities to AI tools.

11 stars on GitHub. Last updated 2025-07-22. Licensed MIT.

Use cases

• Trigger voice calls or send SMS via LLM chatbots or assistants
• Transcribe incoming speech to text for automated processing
• Integrate telephony actions into custom AI workflows or agents

Pros

• Minimal footprint: simple setup and easy to extend
• Purpose-built for MCP, no extra middleware required
• Leverages Vonage’s mature telephony infrastructure

Cons

• Requires a Vonage API account and credentials
• Limited to Vonage’s supported regions and services
• Small community (11 stars) means sparse documentation and support

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.