How to Use the EX.CO Video Experience MCP in Mastra AI

Q: How do I handle human approval for EX.CO Video Experience in Mastra AI?

Enable requireToolApproval in your agent definition. This forces the agent to pause and wait for your input before executing any EX.CO API changes.

Q: Does EX.CO Video Experience integrate with Mastra AI branching logic?

It does. You can use the output of listvideolibrary as a condition to determine which path your agent takes next.

Automate video workflows with Mastra AI and the EX.CO Video Experience MCP Server.

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Connect EX.CO Video Experience MCP to Mastra AI

Create your Vinkius account to connect EX.CO Video Experience 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 EX.CO Video Experience with Mastra AI

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Automated video distribution workflows

Use `list_video_distribution_channels` to trigger automated publishing tasks within your Mastra agents. You can build conditional branches that check channel availability before pushing new content. It handles the logic for you, ensuring your agent only attempts to publish to active, configured channels. This prevents errors by verifying your distribution network status before taking action.

Conditional performance monitoring

Set up agents to run `quick_video_performance_audit` and branch based on engagement drops. If a video underperforms, your workflow can automatically trigger a notification or re-index the content. This removes the need for manual oversight. You define the threshold, and the agent uses the tool to keep your content performance in check.

Granular video and playlist control

Manage your library using `list_video_playlists` and `get_video_detailed_data` to keep your assets organized. Your agents can verify metadata and sync playlist content across your account. It allows for complex, multi-step operations where the agent cleans up or updates video settings based on real-time data. You get full control over your library structure through precise tool execution.

Setup guide

Set up EX.CO Video Experience 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 EX.CO Video Experience 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: "exco-video-experience-mcp-client",
  servers: {
    "exco-video-experience-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

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

const result = await agent.generate(
  "List recent EX.CO Video Experience 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 EX.CO Video Experience. 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.

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Common questions about EX.CO Video Experience MCP in Mastra AI

You register the server in your Mastra config. The agent then treats the tools as native functions, allowing you to chain them into automated workflows.

Yes. Mastra handles exponential backoff automatically. If an API call fails, the agent will retry the tool based on your workflow settings.

Enable `requireToolApproval` in your agent definition. This forces the agent to pause and wait for your input before executing any EX.CO API changes.

It does. You can use the output of `list_video_library` as a condition to determine which path your agent takes next.

The server is ephemeral and requires an endpoint token for access. Your account metadata and configuration are only accessed during the specific tool execution window.

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