Grok Image MCP
Related Servers
Alternatives to Grok Image MCP
No user-submitted related servers found.
Related Servers
- FlicenseNot gradedqualityCmaintenanceMCP server for generating and editing images using xAI's Grok API. Provides tools for image generation, editing, and style listing with configurable models and output options.-
- AlicenseAqualityBmaintenanceUse XAI's latest api functionalities with Grok MCP. It supports image understanding and generation, live search, latest models and more.2255MIT
- AlicenseAqualityCmaintenanceMCP server for generating, editing, and batch processing videos using xAI's Grok Imagine Video API, with support for text-to-video, image-to-video, and video editing via natural language prompts.444 npm1MIT
- AlicenseNot gradedqualityCmaintenanceMCP server for generating, editing, and processing images via multiple providers including Kilo, OpenRouter, OpenAI, and Gemini, with local tools for background removal, resizing, and cropping.15 npm3MIT
- AlicenseBqualityDmaintenanceA local MCP server for generating and editing images using OpenAI-compatible APIs. It provides text-to-image generation and image editing capabilities with configurable endpoints and saves output directly to local files.23 npmMIT
- AlicenseNot gradedqualityCmaintenanceLocal MCP server that routes image-generation requests to xAI/Grok, Antigravity, and OpenAI Codex with ordered fallback, a local Playground, and an OpenAI-compatible image endpoint.5MIT
TDQS
Scored across 2 tools
generate_image creates new images, while edit_image modifies existing images using source inputs. The two tools target distinct actions with clearly different parameters and use cases, leaving no ambiguity.
Both tools follow a consistent snake_case verb_noun pattern: generate_image and edit_image. This is predictable and easy to parse.
Only 2 tools are provided, which feels thin for an image generation/editing service. While they cover the core operations, additional tools like listing models or retrieving image details would make the set feel more complete.
The core create and edit operations are present, covering the main lifecycle for image generation. Minor gaps exist, such as no tool for listing available models or managing stored images, but agents can work around these using external means.