# Gumlet

> Use this tool when you need to integrate video and image processing capabilities into AI development workflows, solving problems such as manual API navigation and media content optimization. It provides direct access to Gumlet's APIs, documentation search, and authentication via query parameters, accepting API requests and returning processed media assets. Ideal for building media processing workflows, video streaming applications, and AI assistants that require programmatic content delivery and optimization.

Canonical page: https://skillsregistry.net/skills/gumlet  
JSON: https://api.skillsregistry.net/v1/skills/gumlet

## Description

This MCP server provides AI assistants with direct access to Gumlet's video and image processing APIs along with documentation search capabilities. Hosted remotely at https://docs.gumlet.com/mcp, it enables AI development tools like Cursor, Windsurf, and Claude Desktop to interact with Gumlet functionality including video asset management, live streaming, DRM integration, image transformations, and analytics without manual API navigation. The implementation supports authentication via query parameters and is designed for developers building media processing workflows, video streaming applications, and AI assistants that need programmatic access to Gumlet's content delivery and optimization services.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-04-25

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/gumlet)

## 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": "gumlet"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/gumlet` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/gumlet/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
