# imejis-mcp

> imejis-mcp — mediaassist-imejis-mcp. Use this tool when you need to generate on-brand images in bulk with consistent layouts and variable data. It solves the problem of creating multiple images with the same design template, saving time and ensuring brand consistency. The imejis-mcp tool takes in a designed template and data as input, and outputs rendered images with the same layout and updated information.

Canonical page: https://skillsregistry.net/skills/mediaassist-imejis-mcp  
JSON: https://api.skillsregistry.net/v1/skills/mediaassist-imejis-mcp

## Description

Hosted MCP server for Imejis. Your AI agent designs a template once, then renders on-brand images in bulk with the same layout every time, only the data changing.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **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/zciwnfdz6m)
- **Repository:** <https://github.com/MediaAssist/imejis-mcp>

## 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": "mediaassist-imejis-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/mediaassist-imejis-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/mediaassist-imejis-mcp/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