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Quick StartWelcome to QwryAI

Get started with QwryAI and discover how to build an AI support assistant trained on your business data.

Quick StartBuild Your First AI Agent

Create a support agent from your website, review its knowledge, and publish it to your site.

Quick StartBest Practices

Use these practices to improve answer quality, reduce failed handoffs, and keep your chatbot useful over time.

Quick StartResponse Quality

Improve how accurately and helpfully your chatbot answers customers.

AI Agent ManagementPlayground

Test and optimize your chatbot before deployment.

AI Agent ManagementData Sources

Add, train, and maintain the knowledge your agent uses to answer customer questions.

AI Agent ManagementDeploy

Add your chatbot to a website or ecommerce storefront.

AI Agent ManagementSettings

Configure language, AI models, response behavior, and human support routing.

AI Agent ManagementEmail Settings

Configure email handoff and reply behavior for chatbot support workflows.

AI Agent ManagementLead Forms

Collect customer details directly inside the chat experience.

AI Agent ManagementIntegrations

Connect QwryAI with external platforms and business tools.

AI Agent ManagementDeveloper & Agent Access

Connect QwryAI to external AI tools, MCP clients, scripts, and CLI workflows.

AI Agent ManagementBackstage

Ask questions about your agent and workspace in a dedicated internal conversation.

AI Agent ManagementInstructions

Define your agent's behavior, guardrails, model, and response style.

AI Agent ManagementProcedures

Write a repeatable customer process with instructions, conditions, and actions.

AI Agent ManagementAction approvals

Review the exact input before an action performs a business write.

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AI Agent Management

Developer tools

Choose the API, CLI, or MCP connection for your QwryAI workflow.

View as MarkdownDocumentation index

Overview

QwryAI exposes developer and agent access through an API, CLI, and remote MCP service. Use the connection appropriate to your workflow and the access available to your workspace.

Choose a connection

SurfaceUse case
REST APIIntegrate QwryAI resources into your application or scripts.
CLIInspect resources and run supported commands from a terminal.
MCPConnect a supported AI client to your workspace tools.
Website JavaScriptControl an embedded chat widget or register client-side action handlers.

Connection guides

Authentication, endpoints, CLI, and MCP setupWebsite deployment and JavaScript APIClient-side action registration

Workspace access

Developer access follows workspace eligibility and the permissions of the credential in use. Keep credentials in your environment or secret manager, and use placeholders in shared examples. Consult Developer & Agent Access for the current authentication flow and endpoint addresses.