How to Use the api.video MCP in Mastra AI

Q: Does Mastra AI read api.video analytics?

Yes, use getvideoanalytics as a step in your agent process. It pulls the data so your workflow can make decisions based on performance.

Build complex video workflows in Mastra AI with conditional logic and automated retries.

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Connect api.video MCP to Mastra AI

Create your Vinkius account to connect api.video to Mastra AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup api.video with Mastra AI

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Mastra AI Workflow Automation for Video

Chain `create_video_object` with your custom business logic. If an upload fails, Mastra AI handles the retry before moving to the next step. Branch your workflows based on the response. You define the path for successful encodes versus error states.

Intelligent Video Audits for Mastra AI

Deploy agents to audit your library using `list_videos` and `get_video_details`. It flags missing metadata or outdated player themes automatically. This keeps your library clean without manual intervention. The agent corrects metadata using `update_video_details` whenever it finds a discrepancy.

Mastra AI Multi-step Video Processing

Aggregate data from `list_video_chapters` and `list_video_captions` into a single report. Mastra AI organizes these tasks into a repeatable sequence. Everything happens in the background. You set the triggers and the MCP Server handles the interaction with your hosted assets.

Setup guide

Set up api.video MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All api.video tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

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

const mcpClient = new MCPClient({
  id: "apivideo-mcp-client",
  servers: {
    "apivideo-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "api.video Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to api.video tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent api.video transactions"
);
console.log(result.text);

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by api.video. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

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Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about api.video MCP in Mastra AI

Add the server to your Mastra client configuration. You can then map the tools directly to your agent's task list.

Yes, you can configure retry logic in your workflows. If a tool call fails, the agent attempts it again based on your settings.

You can enable requireToolApproval for any operation. This ensures a human signs off on sensitive actions like mass video deletions.

We keep your keys in a secure environment. The agent only uses the token you provide to the endpoint for specific requests.

Yes, use `get_video_analytics` as a step in your agent process. It pulls the data so your workflow can make decisions based on performance.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript

Mastra AI sdk-typescript

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