> For the complete documentation index, see [llms.txt](https://docs.fastn.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.fastn.ai/classic.md). # Classic - [Fastn Classic](https://docs.fastn.ai/classic/fastn-classic.md): V1 is in maintenance mode. It will be supported until sunset. New features are only available in V2. - [Fastn V1: embedded integration platform for AI agents](https://docs.fastn.ai/classic/fastn-classic/readme.md) - [Fastn: embedded integration platform for AI agents](https://docs.fastn.ai/classic/fastn-embedded-integration-platform-for-ai-agents.md): Connect AI agents and SaaS applications to 250+ enterprise tools with Fastn's embedded integration platform. Managed OAuth, multi-tenant architecture, and sub-second execution. - [Embedded Integrations](https://docs.fastn.ai/classic/embedded-integrations.md): These integrations are designed for your customers to use, no need for them to sign in to Fastn directly. - [Getting Started with Fastn's Embedded Experience](https://docs.fastn.ai/classic/embedded-integrations/getting-started-with-fastns-embedded-experience.md): Learn what the Embedded Experience is, where it's useful, and see how it works through a real-world Shopify example. - [Building and Configuring Widgets in Fastn](https://docs.fastn.ai/classic/embedded-integrations/getting-started-with-fastns-embedded-experience/building-and-configuring-widgets-in-fastn.md): Learn how to build and configure interactive widgets in Fastn to connect apps, control actions, and deploy them seamlessly for end-users. - [Previewing and Integrating Widgets](https://docs.fastn.ai/classic/embedded-integrations/getting-started-with-fastns-embedded-experience/previewing-and-integrating-widgets.md): Learn how to preview, authenticate, and embed Fastn widgets into your apps using iframe or React, with options for custom auth, filtering, and connector overrides. - [Custom Webhooks: Automatic Triggers](https://docs.fastn.ai/classic/embedded-integrations/getting-started-with-fastns-embedded-experience/custom-webhooks-automatic-triggers.md): In Fastn, webhooks enable event-driven automation, so your workflows respond instantly to external changes without the need for constant checking or manual input. - [Workspace Management](https://docs.fastn.ai/classic/embedded-integrations/workspace-management.md): In the Fastn platform, workspaces are used to organize your created flows, workflows, webhooks, widgets etc. - [Analytics & Monitoring Dashboard](https://docs.fastn.ai/classic/embedded-integrations/workspace-management/analytics-and-monitoring-dashboard.md): Track Every Integration. Optimize Every Flow. - [Deployment](https://docs.fastn.ai/classic/embedded-integrations/workspace-management/deployment.md): Manage how your Fastn flows, connectors, and widgets move between environments using releases and pipelines. - [Releases](https://docs.fastn.ai/classic/embedded-integrations/workspace-management/deployment/releases.md) - [Pipelines](https://docs.fastn.ai/classic/embedded-integrations/workspace-management/deployment/pipelines.md) - [Fastn UCL](https://docs.fastn.ai/classic/fastn-ucl.md) - [Getting Started](https://docs.fastn.ai/classic/fastn-ucl/getting-started.md): Connect your AI agents to 250+ enterprise apps with managed authentication, multi-tenant support, and sub-second execution through Fastn's Unified Context Layer (UCL). - [About Unified Context Layer](https://docs.fastn.ai/classic/fastn-ucl/getting-started/about-unified-context-layer.md): A unified layer that simplifies integration by handling routing, context, and multitenancy; securely and at scale. - [Embedding UCL onto your AI Agent](https://docs.fastn.ai/classic/fastn-ucl/getting-started/about-unified-context-layer/embedding-ucl-onto-your-ai-agent.md): This guide will take you through each step, from setting up your environment to seamlessly integrating your tools into your environment. - [Multitenancy](https://docs.fastn.ai/classic/fastn-ucl/getting-started/about-unified-context-layer/multitenancy.md): This approach provides clear separation and control while optimizing resource usage. - [Defining an MCP Server](https://docs.fastn.ai/classic/fastn-ucl/getting-started/about-unified-context-layer/defining-an-mcp-server.md): This guide walks you through the process of setting up an MCP server from the UCL dashboard. - [Creating a Custom Tool](https://docs.fastn.ai/classic/fastn-ucl/getting-started/about-unified-context-layer/creating-a-custom-tool.md): UCL lets you easily build your own custom tool groups using natural language. - [Monitoring](https://docs.fastn.ai/classic/fastn-ucl/getting-started/about-unified-context-layer/monitoring.md): The Insights page helps you track everything happening across your tenants, connectors, and actions. It is divided into three main parts: Overview, Tool Usage, and Logs. - [UCL Security & Compliance](https://docs.fastn.ai/classic/fastn-ucl/getting-started/about-unified-context-layer/monitoring/ucl-security-and-compliance.md): This overview highlights UCL’s enterprise-grade security, compliance, and governance capabilities. - [How UCL Works in Real Scenarios?](https://docs.fastn.ai/classic/fastn-ucl/getting-started/how-ucl-works-in-real-scenarios.md): This section includes a collection of examples and real-world scenarios showing how UCL connects your AI clients with different tools to perform actions, without writing any code. - [Create a Google Doc and share it to Slack - using UCL](https://docs.fastn.ai/classic/fastn-ucl/getting-started/how-ucl-works-in-real-scenarios/create-a-google-doc-and-share-it-to-slack-using-ucl.md): In this guide, you’ll create a Google Doc with some content and automatically share it to a Slack channel. We’ll use Fastn to connect the two apps and make the workflow run in just a few steps. - [Connect UCL for task Assignment in Jira](https://docs.fastn.ai/classic/fastn-ucl/getting-started/how-ucl-works-in-real-scenarios/connect-ucl-for-task-assignment-in-jira.md): In this guide, you’ll learn how to use UCL's Playground for AI Assistant to assign Jira tasks with natural language; no integration code needed. - [Connect UCL to Cursor and access data from Notion](https://docs.fastn.ai/classic/fastn-ucl/getting-started/how-ucl-works-in-real-scenarios/connect-ucl-to-cursor-and-access-data-from-notion.md): In this guide, you’ll learn how to connect a UCL deployment to Cursor and use its AI assistant to retrieve summary from Notion for a specific meeting; all without writing any integration code. - [Scheduling Flows](https://docs.fastn.ai/classic/scheduling-flows.md): Run flows automatically on a timer whether daily syncs, hourly checks, weekly reports. --- # Agent Instructions This documentation is published with GitBook. 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