Transloadit MCP. Orchestrate video and image pipelines with your AI agent.

Transloadit hooks up your AI agent to a full media processing backend. Forget wading through complicated dashboards just to get a video encoded or some images resized; you manage all that heavy lifting using natural conversation and structured JSON payloads. This server lets you build entire job pipelines, check costs, and restart failed cycles—all without ever touching a web UI.

Your agent can use this toolset to treat Transloadit like an extension of its own memory, letting it process media assets the way you'd talk to a developer teammate about a workflow. It handles everything from initial job creation to billing audits and permanent template cleanup.

Starting Media Jobs (Assemblies)

You start complex file work by passing a JSON steps configuration to create_assembly, which triggers an automated processing job. This single call can initiate massive tasks, whether you're encoding high-res video or running multiple image transformations. You don't just run it and forget it; you get immediate access to the history of these runs via list_assemblies, which pulls a record of every media assembly your account has tackled.

Monitoring and Managing Jobs

If that job is running, you need to know what’s going down. You use get_assembly_details to pull the live status, final output parameters, and results for any specific job ID—whether it's still churning or done for good. If a job goes rogue or hits an unexpected snag, you can immediately issue cancel_assembly; that action is definitive and stops whatever’s running.

And if something fails midway through? No sweat. You call replay_assembly to re-run the whole assembly using its previous steps, no matter what its original completion status was.

Building and Managing Reusable Workflows (Templates)

The real power here is building blueprints. Instead of retyping the same encoding sequence every time, you use create_processing_template to save a JSON blueprint name and its associated step set. This lets your agent store an exact workflow it can reuse later for different media files. You can check what templates are already saved using list_templates, or grab all the specific configuration details of an existing one with get_template_details.

When you're done with a template—say, that client project is over and you never need those steps again—you use delete_template to permanently wipe it out. Remember, this action can't be undone.

Billing and Auditing

Keeping tabs on costs is non-negotiable. You pull your file processing usage metrics and associated costs for any specific calendar month by calling get_billing_usage, which requires you to pass the date in YYYY-MM format. It keeps your operations transparent.

Overall, this toolset gives your AI agent full control over media pipelines: it lets it kick off jobs (create_assembly), manage reusable blueprints (create_processing_template, list_templates), check what’s happening with running tasks (get_assembly_details), and keep a sharp eye on the books (get_billing_usage).