
RokuMCP
io.github.jack1590由 GitHub 帳號 jack1590 發布v1.3.2更新於 Oct 24, 2026
MCP server for Roku device automation — deploy, ECP control, screenshots, and debug console
概覽
讓助理控制區域網路內的 Roku 裝置:部署頻道、送出遙控按鍵、截圖、檢查 SceneGraph 節點並讀取偵錯主控台。
- 可以做什麼
- RokuMCP 透過區域網路提供 Roku 裝置自動化工具。它可以側載與刪除開發者頻道、送出 ECP 按鍵與文字、啟動頻道,查詢裝置、應用程式與媒體播放器狀態,擷取螢幕畫面,並讀取應用程式 UI 樹或 SceneGraph 節點。它也能連線 BrightScript 偵錯主控台,透過 RTA 協定編輯執行中的開發頻道介面,分析 .bsprof 效能檔案與 Perfetto 追蹤,並診斷播放失敗的 HLS/DASH 串流。
- 適用情境
- 適合在開發或測試 Roku 頻道時,讓助理操作裝置、用截圖核對介面狀態、檢查節點,或取得偵錯與效能分析輸出。也適合排查某個串流為何在 Roku 硬體上播放失敗。
- 執行需求
- 需要 Node.js 18+,以及同一網路內已開啟開發者模式的 Roku 裝置。透過 npx roku-mcp 以 stdio 在本機執行。ROKU_DEVICE_HOST 與 ROKU_DEVICE_PASSWORD 皆為選用:未設定主機時會使用 SSDP 自動探索,也可在每次工具呼叫時傳入或從 .env 檔案讀取。截圖與部署需要已側載的開發頻道;執行時介面編輯需要頻道內建 RTA 元件;Perfetto 追蹤需要 Roku OS 15.1+。
安裝
在 SourceWeft 中
- 開啟 儀表板中的 RokuMCP,將其新增到工作區。
- 為需要使用其工具的對話啟用該服務。
Desktop only,透過 STDIO。 STDIO 服務會啟動本機處理程序,因此需要 SourceWeft 桌面主機。
其他 MCP 客戶端
參照 儲存庫 中的啟動說明。
README
roku-mcp
A Model Context Protocol (MCP) server for Roku device automation. Exposes tools for app deployment, ECP remote control, screenshot capture, SceneGraph node inspection, and BrightScript debug console access.
Install
The server ships as a single npx command. Install once globally if you prefer, or let your MCP client launch it on demand via npx -y roku-mcp — both work.
Plugin mode (Claude Code and Cursor)
Unofficial community tool. Not affiliated with or endorsed by Roku, Inc.
The repo also ships as a plugin: the MCP server, workflow skills (skills/), and Cursor rules, registered together.
- Claude Code:
/plugin marketplace add jack1590/RokuMCPthen/plugin install roku-mcp@roku-mcp-marketplace. Manifests:.claude-plugin/,.mcp.json. - Cursor: manifests in
.cursor-plugin/andmcp.json. Skills inskills/, rules inrules/cursor/.
Claude Code asks for the device host and developer password when the plugin is enabled (the password is stored as sensitive). Both clients use the entry point bootstrap.mjs. Both run npm ci and npm run build on first start (Node 18+). Outside plugin mode, ROKU_DEVICE_HOST / ROKU_DEVICE_PASSWORD or a project .env still work.
Configure your AI client below. Every platform uses the same launch line; only the config file and reload step change.
Cursor — agent-mode tools, auto-discovers MCP servers
Prerequisites: Cursor 0.45+ with Agent mode.
Install: create .cursor/mcp.json in your project root (or ~/.cursor/mcp.json for global):
Then reload the window (Cmd+Shift+P / Ctrl+Shift+P → Developer: Reload Window).
Verify: open Cursor Settings → MCP and confirm the roku row shows a green dot. If it appears disabled, click the toggle. In a new agent chat, type list roku tools — you should see roku_deploy, roku_screenshot, etc.
Routing rule (recommended): the repo also ships an AGENTS.md. Cursor picks it up automatically, so the agent knows the canonical observe → act → wait → verify loop and the RTA uiElementId gotcha without you having to re-explain it every session.
Troubleshoot: if the server stays grey/disabled, check View → Output → MCP Logs — the most common cause is ROKU_DEVICE_HOST unreachable on the LAN. Omit the env block entirely to fall back to SSDP auto-discovery.
VS Code (GitHub Copilot) — agent mode, MCP via .vscode/mcp.json
Prerequisites: VS Code 1.99+ with the GitHub Copilot extension and an active Copilot subscription that includes Agent mode.
Install: create .vscode/mcp.json in your project root:
Reload the window (Cmd+Shift+P / Ctrl+Shift+P → Developer: Reload Window).
Verify: open Copilot Chat, switch the chat-mode dropdown to Agent, and ask "what roku tools do you have?". You should see the full roku_* list. The MCP panel (Cmd+Shift+P → MCP: List Servers) should show roku as Running.
Troubleshoot: if the server fails to start, run npx -y roku-mcp --help in a regular terminal first — that confirms Node 18+ and npx are working before VS Code launches it.
Claude Desktop — official Anthropic desktop app
Prerequisites: Claude Desktop (latest from claude.ai/download), Node.js 18+ on PATH.
Install: edit your Claude Desktop config:
- macOS:
~/Library/Application Support/Claude/claude_desktop_config.json - Windows:
%APPDATA%\Claude\claude_desktop_config.json
Fully quit and restart Claude Desktop (the menu-bar icon must close — Cmd+Q on macOS).
Verify: open a new chat. The 🛠️ icon in the input bar should list roku-mcp with all its tools. Ask "take a Roku screenshot" — Claude will request approval for roku_screenshot and run it.
Troubleshoot: if no tool icon appears, check ~/Library/Logs/Claude/mcp-server-roku.log (macOS) — command not found: npx means Node isn't on the GUI app's PATH. Either install Node via the official .pkg, or hard-code the absolute paths: "command": "/usr/local/bin/node", "args": ["/usr/local/bin/npx", "-y", "roku-mcp"].
Windsurf — Codeium's agentic IDE
Prerequisites: Windsurf with Cascade enabled.
Install: create .windsurf/mcp.json in your project root (or ~/.codeium/windsurf/mcp_config.json globally):
Reload the window. In Cascade settings, refresh the MCP server list.
Verify: ask Cascade "list available MCP tools" — roku_* entries should appear.
Troubleshoot: Windsurf occasionally caches a stale server. If reloads don't pick up edits, fully quit Windsurf and reopen.
Any MCP-compatible client (Continue, Cline, Zed, Codex, Claude Code, OpenCode, …)
The server speaks the standard MCP stdio transport. Anywhere you can declare:
…the server runs. Both env vars are optional: omit ROKU_DEVICE_HOST to use SSDP auto-discovery on the LAN, and pass host / password on each tool call to override.
The repo-root AGENTS.md is picked up automatically by Claude Code, OpenCode, Codex CLI, and any other tool that follows the AGENTS.md convention, so those agents inherit the same usage guidance without extra setup.
Agent rules
For better agent behavior (the observe → act → wait → verify loop, the RTA uiElementId gotcha that silently breaks roku_edit_node, when to use which tool), the repo ships drop-in rules pre-formatted for each major agent. The body is identical — only the wrapper differs to match what each agent auto-loads.
See rules/README.md for one-line copy commands per agent.
Quickstart
Once your client is wired up, these three prompts work out of the box and exercise the main capability groups.
1. Confirm the device is reachable
The agent should call roku_query_device_info (and possibly roku_discover if no host is configured) and reply in one turn.
2. Drive the UI with screenshots
This exercises roku_keypress, roku_sleep, and roku_screenshot — the standard observe → act → wait → verify loop.
3. Live-edit a running channel (requires RTA — see Runtime UI Editing)
The agent will roku_query_app_ui to locate the node, grab the uiElementId, call roku_edit_node + roku_get_value, and roll back — proving end-to-end RTA wiring.
Environment Variables
Both can also be passed as parameters on each tool call, which override the environment variables.
Auto-discovery
If ROKU_DEVICE_HOST is not set and no host parameter is provided, the server automatically discovers Roku devices on the local network using SSDP and uses the first one found. You can also use the roku_discover tool to list all available devices. Note that the password cannot be discovered and must still be configured.
.env file support
The server automatically loads a .env file from the current working directory using dotenv. If your project's .env already uses ROKU_DEVICE_HOST and ROKU_DEVICE_PASSWORD, the server picks them up with no extra configuration — just omit the env block from your MCP config:
If your project uses different variable names (e.g. ROKU_IP, ROKU_DEV_PASSWORD), you can map them in the env block:
Or simply add the two expected variables to your .env alongside your existing ones.
Available Tools
Deploy
Discovery
ECP (External Control Protocol)
Screenshot
Debug Console
Runtime UI Editing
Edit the SceneGraph UI of a running sideloaded dev channel without redeploying — the same backend the SceneGraph Inspector in the vscode-brightscript-language extension uses. These tools speak the roku-test-automation (RTA) protocol against the channel's On-Device Component on TCP port 9000, so changes apply instantly with no debugger pause.
How it works. Each tool opens a short-lived TCP connection to the RTA On-Device Component (port 9000) in the running channel, sends a length-prefixed JSON request (setValue / getValue / focusNode / ...) and parses the framed JSON response. Mutations apply on the SceneGraph thread without breaking into the debugger.
Node addressing. nodeId accepts either:
- A
uiElementIdlikeRTA_1773(visible in theroku_query_sg_nodes/roku_query_app_uioutput for every node when RTA is running). This is the most robust target. - A real BrightScript
idattribute defined on the node in the channel source.
Anything matching /^RTA_\d+$/ is sent with RTA base: "elementId"; otherwise it's sent with base: "scene".
Required: install the RTA On-Device Component in your channel
These tools only work when the channel under test bundles RTA. You have two options:
Option A — let roku-debug inject RTA on every sideload (recommended for VS Code users).
-
In your
launch.json, enable: -
In
source/main.brs, add the marker comment immediately afterscreen.show():
Option B — bundle the RTA component yourself. Copy the device/components folder from roku-test-automation into your channel and instantiate RTA_OnDeviceComponent once from your scene.
Either way, on a successful install you will see this in the device log at channel launch:
If a runtime UI tool returns a connection-refused error, RTA is not present in the running channel — apply one of the two install options above and redeploy.
BrightScript Profiler
Analyze .bsprof files generated by Roku devices. These tools use bsprof-cli to parse the binary profiler format and return structured JSON reports.
To generate a .bsprof file, enable the profiler in your Roku app's manifest (bs_prof_enabled=true), run the app, and download the profile from http://<device-ip>:8080.
Perfetto Tracing
Record, analyze, and compare Perfetto traces from Roku devices. Requires Roku OS 15.1+. These tools use roku-perfetto for ECP control, WebSocket recording, and PerfettoSQL analysis.
Workflow: enable tracing → start recording → interact with app → stop recording → analyze. The .trace files can also be opened at ui.perfetto.dev.
Stream Diagnosis
Figure out why an HLS/DASH stream that plays everywhere else fails on Roku.
It detects Roku-specific gotchas such as muxed audio+video in fMP4/CMAF HLS (plays video but silent), video codecs/levels beyond the hardware decoder (e.g. 4K H.264 or 8K HEVC), token/403-gated CDNs, and DRM license rejections. The static manifest checks are treated as hints; when you supply the real device errorInfo the diagnosis is corroborated to high confidence.
Requirements
- Node.js 18+
- A Roku device with Developer Mode enabled on the same network
- For screenshots and deploy: a sideloaded dev channel must be running
License
MIT
來源:README.md,提交 f3b5cba
工具
0版本歷史
1- v1.3.2最新Sep 16, 2026
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