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amazon-workspaces-agent-access

Connects AI agents to remote Windows desktop applications on Amazon WorkSpaces Applications (AppStream 2.0) through the managed Agent Access MCP server, and guides reliable desktop automation. Covers connecting an agent to the MCP endpoint (SigV4, streaming URL, and Active Directory SAML/Domain Join), BLOCKING vs POLLING connect modes, the computer-use tools (screenshot, click, type, key, scroll), screenshot-budget and action-batching discipline, MCP tool forwarding (forwarded___ tools), session lifecycle and expire-on-delete, and troubleshooting connection errors. Use when building or debugging an agent that drives a remote Windows desktop or GUI application via WorkSpaces Applications / AppStream — including "dcv session not ready", "client_disconnected", 400 signing-region, POLLING/connection_status, SAML assertion, or forwarded tool questions. Not for Amazon WorkSpaces Personal/Core virtual desktops or general AppStream fleet administration unrelated to agent access.

skills/specialized-skills/end-user-computing-skills/amazon-workspaces-agent-access/SKILL.md

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# Amazon WorkSpaces Applications — Agent Access

Domain expertise for connecting AI agents to remote Windows desktops on Amazon WorkSpaces Applications (AppStream 2.0) via the managed **Agent Access MCP server**, and for driving those desktops reliably.

**How it works:** Agent Access is **MCP-only** — there is no AWS CLI/SDK command that calls the desktop tools. Agents connect to `https://agentaccess-mcp.{region}.api.aws/mcp` over Streamable HTTP, SigV4-signed with service name `agentaccess-mcp`, and call MCP tools (`screenshot`, `left_click`, `type_text`, ...) to drive the desktop. The AWS CLI/SDK is used only for *setup* — `appstream create-streaming-url`, fleet/stack configuration. `mcp-proxy-for-aws` handles the SigV4 signing.

**Recommended setup:** use `mcp-proxy-for-aws` (Python) as the transport; it signs each request and manages the DELETE lifecycle. Any MCP client that supports Streamable HTTP + SigV4 works. When running the AWS CLI/SDK *setup* steps (create-streaming-url, stack/fleet configuration), the AWS MCP server is recommended for sandboxed execution and audit logging.

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- **Loaded through the AWS MCP `retrieve_skill` tool:** The skill is not installed on the local filesystem. You MUST fetch each reference via `retrieve_skill` with the `file` parameter (e.g. `file="references/connection-setup.md"`), and use the returned content. Do NOT `file_read` these paths locally — they do not exist on disk.
- **Installed locally** (e.g. `.kiro/skills/amazon-workspaces-agent-access/` or `~/.claude/skills/amazon-workspaces-agent-access/`): Read files from the local skill directory using relative paths.