Roku Dev Studio MCP Server
Related Servers
Alternatives to Roku Dev Studio MCP Server
- FlicenseNot gradedqualityDmaintenanceEnables AI agents to develop, test, and certify Roku applications by providing direct control over device functions like app deployment, remote input, and SceneGraph inspection. It supports automated workflows including real-time log collection, media monitoring, and certification verification.1-
- AlicenseNot gradedqualityDmaintenanceEnables AI agents to inspect and control Roku devices—query UI elements, send remote input, launch channels, and run tests—using the Model Context Protocol or a CLI.13 npm5MIT
- AlicenseAqualityBmaintenanceAn MCP server that scaffolds runnable Roku channels from a validated AppSpec, zips them, and optionally sideloads to a Roku device.511 npmMIT
- FlicenseAqualityDmaintenanceEnables AI assistants to control Roku TVs on the local network via natural language commands.6-
- FlicenseAqualityDmaintenanceEnables comprehensive Roku automated testing by combining WebDriver for UI state verification and ECP for device control, allowing validation of acceptance criteria through natural language queries.14-
Related Servers
- FlicenseNot gradedqualityBmaintenanceMCP server for Roku BrightScript documentation and device control, enabling doc search, device introspection, keypress/keysequence input, app launch, and sideloading.-
- AlicenseAqualityCmaintenanceEnables Roku development workflows by creating projects, searching BrightScript APIs, validating and packaging channels, running script tests, and capturing headless SceneGraph or Draw2D previews.767 npmMIT
- AlicenseNot gradedqualityBmaintenanceEnables AI agents to develop, deploy, navigate, inspect, and debug Roku BrightScript and SceneGraph applications with direct hardware control.-
- AlicenseAqualityCmaintenanceProvides local, offline searchable access to Roku and BrightScript development documentation via MCP tools and resources, including full-text search, sectioned reading of large docs, and background syncing from the upstream repo.41-
- AlicenseAqualityCmaintenanceProvides AI agents with Roku BrightScript debugging tools, including log reading, scene graph inspection, breakpoint management, variable inspection, and execution control.211Apache 2.0
- FlicenseAqualityDmaintenanceAn MCP server that enables AI assistants to control TVs on a local network through natural language commands. It currently supports Roku devices, allowing users to launch apps, manage playback, and navigate menus.5-
TDQS
Scored across 51 tools
Tools are grouped into clear functional families (action scripting, debugger, network inspector, ECP, RALE/telnet, device discovery), and each has an explicit, well-scoped purpose. A few near-neighbor pairs like probe_bridge vs test_connection or rale_command vs app_function could be confused, but their descriptions draw clear boundaries and cross-reference each other.
Many tools follow a consistent verb_noun or domain-prefix_verb pattern, but the set mixes conventions: keypress, launch_app, app_function, rale_command, network_inspector_status, debugger_status, and device_performance_metrics don't fit a single style. The domain prefixes like debugger_, telnet_, and network_inspector_ help readability, but the naming is not fully predictable across all 51 tools.
At 51 tools this is well beyond the 25+ threshold that the rubric treats as too many, even though the scope spans multiple substantial subsystems. The count is heavy for agents to navigate and is only partially mitigated by clear grouping.
The surface is very complete across device discovery, ECP control, debugging lifecycle, network inspection, telnet, sideloading, RALE, and action scripting, with full read/read-write and lifecycle coverage. The main gap is that descriptions reference helper catalog tools like list_query_presets, list_post_presets, and list_rale_builtins that aren't actually exposed in the tool list, though get_capability_bundle partially compensates.