grok-imagine-mcp
Related Servers
Alternatives to grok-imagine-mcp
No user-submitted related servers found.
Related Servers
AlicenseAqualityBmaintenanceEnables AI video and image generation through the Runway API. Supports video generation from images and text prompts, image creation, video upscaling and editing, and task management.711 npm22MIT- AlicenseBqualityAmaintenanceEnables creating and managing GPT Image tasks (edit and text-to-image) via RunAPI, with options to poll status and check pricing.5107 npmApache 2.0
- AlicenseAqualityAmaintenanceEnables creating and managing Runway video generation tasks (text-to-video, video extension) through a single RunAPI key, including task polling and pricing checks.569 npmApache 2.0
- AlicenseBqualityAmaintenanceEnables text-to-image generation using Z Image models via RunAPI, with task management and pricing lookup.372 npmApache 2.0
- AlicenseAqualityAmaintenanceEnables creating and polling Luma video modification tasks, fetching task status, and checking pricing via the RunAPI API.468 npmApache 2.0
- AlicenseAqualityAmaintenanceEnables image editing, remixing, and text-to-image generation using Qwen 2 models via RunAPI. Supports task polling and pricing checks.572 npmApache 2.0
TDQS
Scored across 10 tools
Each tool targets a distinct operation or model mode, and names like text_to_image, image_to_video, and upscale_image clearly separate their purposes. However, several tools share the same generic 'Create a Grok Imagine task' description, and segment_map is somewhat ambiguous without more context.
The set mixes naming conventions: some tools use verb_noun (edit_image, get_task, check_pricing), some use source_to_target (text_to_image, image_to_video), and one is a bare verb (login). While readable, the lack of a uniform pattern or prefix makes the set feel inconsistent.
With 10 tools, the server is well-scoped for a task-generation MCP. Each tool covers a distinct capability, including authentication, task creation variants, status retrieval, and pricing lookup, without unnecessary bloat.
The core workflow of creating tasks, fetching results, logging in, and checking pricing is covered well. Minor gaps exist, such as no cancel_task or list_tasks endpoint, but agents can complete typical generation workflows without dead ends.