> ## Documentation Index
> Fetch the complete documentation index at: https://docs.agentweb.us/llms.txt
> Use this file to discover all available pages before exploring further.

# AgentWeb documentation

> AgentWeb documentation for connecting an AI agent, discovering supported website actions, authenticating, executing, and verifying results.

AgentWeb connects an existing AI agent to supported web actions through MCP and API. Every live tool, including `read_page` and `discover`, requires an AgentWeb account and `aw_` API key; account creation runs in-conversation through the one-link sign-in flow. Check the returned status or verification before reporting completion.

## Start here

* [AgentWeb quickstart](/quickstart)
* [MCP server and tool definitions](/mcp-apps)
* [Authentication and target-site connections](/agent-auth)
* [Developer overview](https://www.agentweb.us/developers)
* [OpenAPI specification](https://www.agentweb.us/openapi.json)
* [Public MCP tool manifest](https://www.agentweb.us/.well-known/mcp/tools.json)
* [Full agent-readable reference](https://www.agentweb.us/llms-full.txt)

## Execution sequence

1. Authenticate with an `aw_` API key (create one with the one-link sign-in tools).
2. Read a page or call discovery for the target domain, then list mapped actions.
3. Connect the target-site account if the selected action requires it.
4. Confirm the inputs and obtain approval for consequential actions.
5. Execute once and use the structured result to report success, failure, or required intervention.