# MCP Iconik

> Use this tool when you need to integrate and manage media assets efficiently, solving problems such as asset organization, search, and metadata management. It provides a comprehensive interface for interacting with the Iconik API, accepting inputs like asset queries and metadata updates, and outputs like search results and job statuses. Ideal for use cases involving large media libraries and collaborative workflows, where seamless asset management is crucial.

Canonical page: https://skillsregistry.net/skills/veup-engineering-mcp-backlight-iconik  
JSON: https://api.skillsregistry.net/v1/skills/veup-engineering-mcp-backlight-iconik

## Description

MCP server providing tools for the Iconik media asset management API. Supports assets, collections, search, metadata, jobs, users, groups, and more with dual transport (SSE and HTTP) and Docker support.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** cloud-infra
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/migvu8fbol)
- **Repository:** <https://github.com/veup-engineering/mcp-backlight-iconik>

## 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": "veup-engineering-mcp-backlight-iconik"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/veup-engineering-mcp-backlight-iconik` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/veup-engineering-mcp-backlight-iconik/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