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AI Ticket summary feature overview
The Ticket summary feature uses AI to generate a concise summary of a ticket's entire conversation history. Agents can generate a summary directly from the ticket at any time, so they can quickly understand the context without needing to read every individual message. In this article - [How it works](#howItWorks) - [Setting up Ticket summary](#setup) - [Using Ticket summary](#using) - [Generating a summary](#generating) - [Refreshing an outdated summary](#refreshing) How it works When an ag...
MCP Integration for Agents
LiveAgent exposes a built-in MCP server (Model Context Protocol) that lets you connect external AI tools — such as Claude Desktop, Cursor, claude.ai, [FlowHunt](https://flowhunt.io), or any other MCP-compatible client — directly to your LiveAgent account. Once connected, those tools can read ticket data and perform actions on your behalf, using your agent identity and permissions. Note: Your [AI agents](https://support.liveagent.com/466386-AI-Agents-feature-overview) use LiveAgent's built-in MC...
MCP tools reference
This article documents the tools exposed by the LiveAgent MCP server, including the exact parameters each tool accepts and the exact fields it returns. A [personal MCP connection](https://support.liveagent.com/647358-MCP-Integration-for-Agents) offers every tool the agent's role has the privileges for, while an [AI agent MCP connection](https://support.liveagent.com/466386-AI-Agents-feature-overview) offers only the tools selected for that AI agent. Every tool returns a single JSON object. A ca...
AI chatbot
AI chatbot feature overview
Setting up AI chatbot
Enhancing AI chatbot to see attached files
AI answer assistant
AI Answer assistant feature overview
Answer assistant's functions detailed overview
Setting up Answer assistant feature via FlowHunt
and 1 more ...
AI agents
AI Agents feature overview
AI agents example use cases
Setting up AI Agents feature via FlowHunt
and 4 more ...
Subcategories
AI chatbot
AI answer assistant
AI agents