Build Voice Agents With MCP: The Top 4 Frameworks and APIs
Blog post from Stream
Voice AI technologies have become vital in modern communication, with the Model Context Protocol (MCP) enhancing these systems by allowing AI agents to access external toolkits and provide accurate responses. Developed by Anthropic, MCP is an open standard that integrates with voice systems, enabling tasks like booking flights through visual capabilities. It works within voice and video call pipelines, converting audio to text, retrieving real-time information via external tools, and delivering audio responses. Platforms such as Vision Agents, OpenAI Realtime API, Gemini Live API, and Amazon Nova Sonic offer built-in MCP support, allowing for the development of scalable, multimodal AI applications. Vision Agents stands out for its flexibility, allowing integration with multiple AI providers and supporting both traditional and real-time voice processing pipelines. Security considerations are crucial when using MCP, ensuring API credentials are protected and operations are secure. Overall, MCP provides a robust framework for creating advanced conversational agents, enhancing user interactions with AI.