# Transloadit Media Processing

> Use this tool when you need to automate media processing tasks, such as resizing images, transcoding videos, or converting documents, to solve problems like inconsistent file formats, large file sizes, or manual processing overhead. It takes in various media files as input and outputs processed files in desired formats, optimized for web or mobile use. Ideal for use cases like content upload, video streaming, or e-learning platforms, where efficient media handling is crucial.

Canonical page: https://skillsregistry.net/skills/io-github-transloadit-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/io-github-transloadit-mcp-server

## Description

Process video, audio, images, and documents with 86+ cloud media processing robots.

## Trust

- **Trust score (0–1):** 0.84
- **Circle-IR tier:** blocked
- **Verification tier:** verified
- **Last scanned:** 2026-09-28
- **Dimensions:** security 63.00, supply 96.00, quality 95.00, reliability 74.00, compliance 87.00, provenance 100.00

## Facts

- **Version:** 0.3.6
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-09-28

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.transloadit%2Fmcp-server)
- **Repository:** <https://github.com/transloadit/node-sdk>

## Use it

MCP endpoint published by the skill: `https://api2.transloadit.com/mcp`

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": "io-github-transloadit-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/io-github-transloadit-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/io-github-transloadit-mcp-server/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