Grok Voice 3.0 Integrations

Grok Bot is an AI teammate platform from xAI that lets users delegate real work to bots across apps, websites, routines, and workflows. Bots can sign in to tools, use them like a person would, keep context over time, and return with finished work or requests for approval. Users can create multiple bots for jobs such as sales outbound, talent scouting, expense management, inbox management, account health, product performance, bug reproduction, and chief-of-staff workflows. Grok Bot can learn workflows by watching a user complete a task once, then save that process as a routine for future execution. Bots can work in parallel, collaborate in shared threads, pass work between one another, and run scheduled routines. Built for teams and individuals that want AI agents to execute tasks instead of only answering questions, Grok Bot helps automate work while keeping users involved when approvals are needed.

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Grok is an advanced AI assistant developed by xAI, designed to provide real-time insights, intelligent responses, and conversational support. It is deeply integrated with the X (formerly Twitter) platform, allowing users to access up-to-date information and trending discussions. Grok is built to answer complex questions with a mix of reasoning, humor, and personality. It can assist with tasks such as research, content creation, and general problem-solving. The platform leverages large language models to deliver accurate and context-aware responses. Grok stands out for its ability to access live data, making it highly relevant for current events. Overall, it offers a dynamic and engaging AI experience for everyday users.

Model Context Protocol (MCP) is an open protocol designed to standardize how applications provide context to large language models (LLMs). It acts as a universal connector, similar to a USB-C port, allowing LLMs to seamlessly integrate with various data sources and tools. MCP supports a client-server architecture, enabling programs (clients) to interact with lightweight servers that expose specific capabilities. With growing pre-built integrations and flexibility to switch between LLM vendors, MCP helps users build complex workflows and AI agents while ensuring secure data management within their infrastructure.

The Grok Voice Agent API is xAI’s new developer platform for building fast, intelligent, and multilingual voice agents. It is powered by the same in-house voice technology used by Grok Voice in mobile apps and Tesla vehicles. The API enables voice agents to speak dozens of languages, call tools, and search real-time data. Grok Voice Agents are engineered for low latency, delivering audio responses in under one second. The platform ranks first on the Big Bench Audio benchmark for voice reasoning performance. Developers benefit from a simple, flat pricing model based on connection time. The Grok Voice Agent API brings production-proven voice intelligence to custom applications.

Grok Voice Agent Builder is xAI’s no-code platform for configuring production voice agents on Grok Voice in under two minutes. It is built for operators and developers who want high-volume voice agents without building the surrounding stack from scratch, bringing telephony, knowledge retrieval, tools, guardrails, MCPs, and observability into one place. Instead of stitching together separate speech-to-text, language model, and text-to-speech APIs, Voice Agent Builder uses one interface on a speech-to-speech path built for Grok Voice, tightly coupled to the model rather than assembled from three different systems. Users can write a plain-language description of how calls should flow, attach documents, connect tools, set guardrails, and move quickly from zero to a working agent. It can retrieve from uploaded knowledge bases in common formats such as plain text, Markdown, Word, PowerPoint, Excel, HTML, JSON, and others.