# Grok Imagine Image 2 MCP Server

> Grok Imagine Image 2 MCP Server — anil-matcha-grok-imagine-image-2-api. Use this tool when you need to generate or edit images using advanced AI capabilities, such as text-to-image or image-to-image editing, and require a server-based solution with support for local uploads and asynchronous job polling. It solves problems like automated image creation, editing, and enhancement, and provides outputs in the form of generated or edited images. Ideal for applications requiring dynamic image generation, such as graphic design, advertising, or social media content creation.

Canonical page: https://skillsregistry.net/skills/anil-matcha-grok-imagine-image-2-api  
JSON: https://api.skillsregistry.net/v1/skills/anil-matcha-grok-imagine-image-2-api

## Description

Enables image generation and editing via the Grok Imagine Image 2.0 API, supporting text-to-image, image-to-image editing, multi-reference generation, local uploads, and asynchronous job polling.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/z0o88wei71)
- **Repository:** <https://github.com/Anil-matcha/Grok-Imagine-Image-2-API>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "anil-matcha-grok-imagine-image-2-api"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/anil-matcha-grok-imagine-image-2-api` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/anil-matcha-grok-imagine-image-2-api/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt