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Shotstack MCP Server for Mastra AIGive Mastra AI instant access to 10 tools to Create Video Template, Get Hosted Asset Details, Get Render Status, and more

Built by Vinkius GDPR 10 Tools SDK

Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Shotstack through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.

Ask AI about this App Connector for Mastra AI

The Shotstack app connector for Mastra AI is a standout in the Industry Titans category — giving your AI agent 10 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

typescript
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";

async function main() {
  // Your Vinkius token. get it at cloud.vinkius.com
  const mcpClient = await createMCPClient({
    servers: {
      "shotstack": {
        url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
      },
    },
  });

  const tools = await mcpClient.getTools();
  const agent = new Agent({
    name: "Shotstack Agent",
    instructions:
      "You help users interact with Shotstack " +
      "using 10 tools.",
    model: openai("gpt-4o"),
    tools,
  });

  const result = await agent.generate(
    "What can I do with Shotstack?"
  );
  console.log(result.text);
}

main();
Shotstack
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Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Shotstack MCP Server

Connect your Shotstack account to any AI agent and take full control of your high-volume video editing and media orchestration through natural conversation. Shotstack provides a powerful API-first platform for rendering videos, managing cloud templates, and ingesting assets directly from your chat interface.

Mastra's agent abstraction provides a clean separation between LLM logic and Shotstack tool infrastructure. Connect 10 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.

What you can do

  • Video Rendering Orchestration — Trigger professional video renders from JSON-based templates or custom edits programmatically.
  • Template Lifecycle Management — Create and monitor cloud-based video templates to ensure consistent automated outputs directly from the AI interface.
  • Asset & Ingest Control — Ingest source media and manage your hosted assets to maintain a clear overview of your production resources.
  • Render Intelligence — Retrieve real-time render statuses and detailed metadata to track the progress of your video pipeline via natural language.
  • Operational Monitoring — List available renders, templates, and source assets using simple AI commands to ensure your production is optimized.

The Shotstack MCP Server exposes 10 tools through the Vinkius. Connect it to Mastra AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 10 Shotstack tools available for Mastra AI

When Mastra AI connects to Shotstack through Vinkius, your AI agent gets direct access to every tool listed below — spanning video-rendering, cloud-api, media-automation, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

create_video_template

Save an edit as a reusable template

get_hosted_asset_details

Get details for a hosted file

get_render_status

Check the status of a render job

ingest_media_source

Upload or fetch a source asset

list_assets_from_render

) associated with a specific job ID. Find all files created by a specific render

list_hosted_assets

List all hosted media files

list_ingested_sources

List all ingested media sources

list_recent_renders

List recent render history

list_templates

List available video templates

render_video

Returns a render ID. Start a new video render job

Connect Shotstack to Mastra AI via MCP

Follow these steps to wire Shotstack into Mastra AI. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

01

Install dependencies

Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

Save to agent.ts and run with npx tsx agent.ts
04

Explore tools

Mastra discovers 10 tools from Shotstack via MCP

Why Use Mastra AI with the Shotstack MCP Server

Mastra AI provides unique advantages when paired with Shotstack through the Model Context Protocol.

01

Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Shotstack without touching business code

02

Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation

03

TypeScript-native: full type inference for every Shotstack tool response with IDE autocomplete and compile-time checks

04

One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure

Shotstack + Mastra AI Use Cases

Practical scenarios where Mastra AI combined with the Shotstack MCP Server delivers measurable value.

01

Automated workflows: build multi-step agents that query Shotstack, process results, and trigger downstream actions in a typed pipeline

02

SaaS integrations: embed Shotstack as a first-class tool in your product's AI features with Mastra's clean agent API

03

Background jobs: schedule Mastra agents to query Shotstack on a cron and store results in your database automatically

04

Multi-agent systems: create specialist agents that collaborate using Shotstack tools alongside other MCP servers

Example Prompts for Shotstack in Mastra AI

Ready-to-use prompts you can give your Mastra AI agent to start working with Shotstack immediately.

01

"Check the status of my latest video render in Shotstack."

02

"List all video templates in my Shotstack account."

03

"List all hosted assets in my Shotstack Serve account."

Troubleshooting Shotstack MCP Server with Mastra AI

Common issues when connecting Shotstack to Mastra AI through the Vinkius, and how to resolve them.

01

createMCPClient not exported

Install: npm install @mastra/mcp

Shotstack + Mastra AI FAQ

Common questions about integrating Shotstack MCP Server with Mastra AI.

01

How does Mastra AI connect to MCP servers?

Create an MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.
02

Can Mastra agents use tools from multiple servers?

Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.
03

Does Mastra support workflow orchestration?

Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.