# mcp-mediachips

> Use this tool when you need to manage media resources efficiently, solving problems such as disorganized media libraries, inconsistent tagging, and cumbersome playlist management. It provides a comprehensive interface for creating, reading, updating, and deleting media, tags, playlists, marks, and settings via the Model Context Protocol. Ideal for use cases requiring structured media management, such as content curation, digital asset management, and media streaming applications.

Canonical page: https://skillsregistry.net/skills/rikuson-mcp-mediachips  
JSON: https://api.skillsregistry.net/v1/skills/rikuson-mcp-mediachips

## Description

Provides CRUD tools to manage media, tags, playlists, marks, and settings via the Model Context Protocol.

## 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:** media
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/dwohapuewv)
- **Repository:** <https://github.com/rikuson/mcp-mediachips>

## 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": "rikuson-mcp-mediachips"
    }
  }
}
```

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