# Quickly

> Quickly helps individuals and teams build, manage, and run cloud AI agents. It delegates repetitive business work across APIs, MCP tools, SaaS apps, browser workflows, approvals, and audit trails without local infrastructure.

## Primary Product Pages

- [Homepage](https://askquickly.ai/): Product overview and positioning.
- [Product](https://askquickly.ai/product): Quickly Assistant, Agents, Playbooks, integrations, APIs, MCP tools, browser workflows, approvals, and audit logs.
- [How it works](https://askquickly.ai/how-it-works): Agent execution loop, context, tool use, approvals, and logging.
- [Integrations](https://askquickly.ai/integrations): Supported APIs, SaaS integrations, and browser workflow categories.
- [Pricing](https://askquickly.ai/pricing): Plans, credits, seats, add-ons, and limits.
- [Security](https://askquickly.ai/security): Encryption, auth, tenant isolation, moderation, and audit controls.
- [Trust Center](https://askquickly.ai/trust): Privacy, security, AI safety, and compliance posture.

## Developer And Agent Entry Points

- [API Reference](https://askquickly.ai/api-reference): Public REST API overview and examples.
- [OpenAPI JSON](https://askquickly.ai/openapi.json): Machine-readable REST API schema.
- [MCP Server](https://askquickly.ai/mcp): Public guide for connecting AI clients to Quickly through Model Context Protocol.
- [MCP server manifest](https://askquickly.ai/mcp.json): Machine-readable MCP server metadata.
- [MCP well-known manifest](https://askquickly.ai/.well-known/mcp.json): Same MCP metadata at a well-known path.
- [Full LLM context](https://askquickly.ai/llms-full.txt): Expanded AI-readable context with API, MCP, scopes, tools, and safety notes.

## Runtime Endpoints

- REST API base URL: `https://app.askquickly.ai/api/v1`
- MCP Streamable HTTP server: `https://mcp.askquickly.ai/api/mcp/v1`
- MCP protected resource metadata: `https://mcp.askquickly.ai/.well-known/oauth-protected-resource`
- OAuth authorization server metadata: `https://app.askquickly.ai/.well-known/oauth-authorization-server`
- Dashboard MCP setup page: `https://app.askquickly.ai/dashboard/developers/mcp`

## Key Concepts

- Headless integration APIs: hundreds of integrations are operable programmatically via the REST API and MCP, with no human in a UI; any tool with an API can be connected.
- MCP tools: AI-client-facing tools for knowledge search, playbook discovery, playbook triggering, entities, tasks, and agents, served from a hosted Streamable HTTP MCP server.
- Browser capabilities: cloud browser automation that runs headless (no local machine) to complete work on effectively any website or legacy portal that has no usable API.
- Agents: reusable AI workers that execute assigned work through playbooks, schedules, triggers, chat, and the Quickly app.
- Playbooks: governed digital workflows with tool calls, human approvals, browser/API steps, and execution logs.
- Pricing model: freemium and credit-metered, with free individual and team tiers (browser workflows included); paid tiers add credits, API access (Max and above), and team governance.
- Safety model: scoped credentials, workspace isolation, confirmation gates, tool-risk moderation, and audit logs.

## Support

- [Contact](https://askquickly.ai/contact)
- [Documentation](https://askquickly.ai/docs)
- [Terms](https://askquickly.ai/legal/terms)
- [Privacy](https://askquickly.ai/legal/privacy)