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AI Agents

AI coding agents such as Claude Code, OpenAI Codex, and Cursor can connect to Transloadit and use all 88 Robots to upload, encode, and transform files. There are three ways to integrate: the MCP server for runtime tool access, Agent Skills for repeatable workflows, and llms.txt for documentation context.

MCP server

The Model Context Protocol (MCP) gives agents direct runtime access to Transloadit tools.

Demo: encoding videos to HLS adaptive streaming through the Transloadit MCP Server in Claude

For most teams, the fastest happy path is self-hosted MCP via stdio:

TRANSLOADIT_KEY=MY_AUTH_KEY TRANSLOADIT_SECRET=MY_SECRET_KEY npx -y @transloadit/mcp-server stdio

If you cannot run npx in your environment, use the hosted endpoint https://api2.transloadit.com/mcp with Authorization: Bearer <token>.

Generate the token in another trusted environment (for example your backend, CI, or local shell), then pass it to your agent runtime:

npx -y @transloadit/node auth token --aud mcp

You can also mint tokens via POST /token or the Node.js SDK.

For client config examples (Claude, Cursor, VS Code/Copilot), auth details, tool docs, limits, and hosted vs self-hosted behavior, see the MCP Server SDK page.

Agent Skills

Agent Skills are markdown files (SKILL.md) that teach agents how to accomplish tasks step by step.

Demo: encoding videos to HLS adaptive streaming through Transloadit Agent Skills in Claude In practical terms, an MCP server is an API surface an agent can call at runtime (via a local or hosted MCP process), while skills are version-controlled playbooks that tell an agent what to do, in what order, and how to verify it. Skills do not add new tool access by themselves. They codify how you want the agent to use the tools available in your environment (MCP, CLI, SDKs) in a consistent way.

  • Use MCP for embedded, repeatable execution (uploads, Assemblies, polling, results).
  • Use skills for human-directed, one-off work (setup, scaffolding, templates, migrations).

They also complement each other. A skill can standardize a workflow and then instruct the agent to use MCP (or a local CLI fallback) for the actual execution.

Install with the Skills CLI

npx skills add transloadit/skills

This installs all 7 Transloadit skills into your project:

  • docs-transloadit-robots: Offline lookup for Transloadit Robots and their parameter docs/examples via the `transloadit` CLI. Use to draft or validate `steps` JSON without guessing robot names/params.
  • integrate-asset-delivery-with-transloadit-smartcdn-in-nextjs: Add Transloadit Smart CDN URL signing to a Next.js App Router project (server-side signing route + optional client demo page).
  • integrate-uppy-transloadit-s3-uploading-to-nextjs: Add Uppy Dashboard + Transloadit uploads to a Next.js (App Router) app, with server-side signature generation and optional /s3/store export.
  • transform-encode-hls-video-with-transloadit: One-off HLS encoding (local video -> HLS renditions + playlist) using Transloadit via the `transloadit` CLI. Prefer Builtin Templates (`builtin/encode-hls-video@latest`) and download outputs locally via `-o`.
  • transform-generate-image-with-transloadit: One-off image generation (prompt -> image file) using Transloadit via the `transloadit` CLI. Prefer Builtin Templates (`builtin/generate-image@latest`) and download outputs locally via `-o`.
  • transform-remove-background-with-transloadit: One-off background removal (local image -> transparent PNG) using Transloadit via the `transloadit` CLI. Use a minimal `/image/bgremove` steps JSON and download the result to an explicit `.png` path via `-o`.
  • transloadit: Main entry-point skill for Transloadit. Route to the right `integrate-*`, `transform-*`, or `docs-*` skill, and prefer executing via `npx -y @transloadit/node ...` (CLI) for deterministic behavior.

Auto-discovery

The skills catalog is also discoverable at transloadit.com/.well-known/skills/index.json, following the Agent Skills Discovery RFC. This means you can also install with:

npx skills add https://transloadit.com

Manual installation

Clone or symlink the transloadit/skills repo into your agent's skills directory:

AgentPath
Claude Code.claude/skills/
OpenAI Codex.codex/skills/
Gemini CLI.gemini/skills/
Cursor.cursor/skills/
Windsurf.codeium/windsurf/skills/

llms.txt

Transloadit publishes an llms.txt file, a structured index of all Robot documentation following the llms.txt standard. Agents and LLMs can fetch this file to get an up-to-date overview of every Robot, its parameters, and links to the full docs.

A detailed variant is available at llms-full.txt, which includes complete Robot documentation inline rather than linking out.

Which approach should I use?

ApproachBest forSetup time
Hosted MCPProduction agent workflows, team setups2 minutes
Self-hosted MCPAir-gapped environments, local dev5 minutes
Agent SkillsTeaching agents Transloadit best practices and patterns2 minutes
llms.txtGiving any LLM context about Transloadit RobotsZero (just fetch the URL)

These approaches complement each other. Use the hosted MCP server for tool access, install skills for workflow guidance, and point your LLM at llms.txt when it needs Robot documentation.

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