AgentQ Overview
AgentQ is the AI assistant built into the Qualytics platform. Powered by the Model Context Protocol (MCP) and your choice of LLM provider, AgentQ turns natural language into action — exploring datastores, building transformations, creating quality checks, investigating anomalies, and more.
You can interact with AgentQ in several ways: through the full-page chat opened from the left sidebar, the floating chat widget available on every page (toggle with Q), the AgentQ API for custom integrations, and any external MCP-compatible client (Claude Desktop, ChatGPT, Cursor, and others) connected to the Qualytics MCP server.
Built-In Intelligence
- Smart Suggestions — When you start a new conversation, AgentQ generates personalized prompt suggestions based on your data assets and active anomalies.
- Context Awareness — AgentQ automatically detects the page you're on and injects relevant context (datastore, container, field, check, or anomaly) into the conversation.
- Co-Authorship Tracking — All changes made through AgentQ are stamped with a co-author record in the audit trail, so you always know which actions were AI-assisted.
- Conversation Memory — Long conversations are automatically managed through context compression, keeping recent messages in full detail while summarizing older context. See Conversations, Responses & Context for details.
- Background Streaming — If you navigate away while AgentQ is generating, the stream continues in the background. The response is waiting when you return to that session.
- PDF Export — Export any AgentQ response as a PDF for sharing and reporting.
Deep Dive
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MCP
What is the Model Context Protocol — how it works, key concepts, and why it matters.
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AgentQ in Action
How Qualytics implements MCP — endpoint, tools, and tool step labels.
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Conversations, Responses & Context
How to write prompts, understand AgentQ responses, and use context-aware conversations.
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Best Practices
Prompt design, cost management, guardrail behavior, rate limits, and async operation patterns.
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AgentQ Limits
Rate limits, token usage, timeouts, SQL constraints, and scope constraints.
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Agentic Endpoints
Building custom applications with the agentic endpoints — integration patterns, best practices, and code examples.
Managing
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Connecting External AI Clients
Connect ChatGPT, Claude Desktop, Claude Code, Cursor, VS Code, Windsurf, or Amazon Q Developer to the Qualytics MCP server.
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Add Integration
Configure your LLM provider to power AgentQ's built-in chat.
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Update Integration
Change your LLM provider, model, or API key.
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Remove Integration
Disconnect your LLM provider from AgentQ.
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Start a New Conversation
Create a fresh conversation from the sidebar, chat header, or floating chat.
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Resume a Conversation
Return to a previous conversation and continue from where you left off.
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Rename a Conversation
Give a conversation a descriptive title for easier navigation.
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Archive a Conversation
Move a conversation out of the active list into the archived section.
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Restore a Conversation
Bring an archived conversation back to the active list.
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Delete a Conversation
Permanently remove an archived conversation.
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Search Conversations
Filter active conversations by title or message content to find a specific conversation.
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Chat Interface Tips
Refresh the chat list, collapse the sidebar, attach files, paste large content, stop a response, and use prompt suggestions.