How to Use the Vimeo MCP in Mastra AI

Q: How can I manage my profile data using Vimeo and Mastra AI?

You use the getme tool. Because it's part of a robust workflow, you can build steps around this—for example, check user info first, then proceed to list videos.

Q: What if I need to find specific public content using Vimeo and Mastra AI?

You call searchvideos. Within your workflow, you can wrap this search in a retry loop. If the initial query fails, the agent tries again with a slightly different parameter.

Q: Does the MCP Server handle deleting content for Mastra AI?

Yep. The deletevideo tool is available. You can wrap this deletion in a confirmation step, forcing human approval before the video actually gets removed from Vimeo.

Q: Can I list all channels and groups using Vimeo and Mastra AI?

Absolutely. The workflow handles both listchannels and listgroups. You can build a sequence that gathers all associated user context before performing an action.

Build complex Vimeo workflows that handle failure with Mastra AI.

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Connect Vimeo MCP to Mastra AI

Create your Vinkius account to connect Vimeo 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 Vimeo with Mastra AI

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Automated Video Audit Workflows via MCP Server

You need to audit a client's entire video library? Mastra AI lets you build conditional workflows. The agent can check `list_videos`, loop through the results, and then conditionally call `get_video` for metadata analysis. If a video is missing key tags, the workflow fails gracefully, triggering an admin notification instead of just stopping.

Managing Content Lifecycle with Mastra AI

Content updates don't always work on the first try. Use `update_video` within a multi-step Mastra AI workflow. The agent can automatically retry the update using exponential backoff if Vimeo returns a transient error. This reliable execution means your critical asset changes actually get applied, no matter what network hiccups pop up.

Comprehensive Asset Discovery for Mastra AI

The workflow can handle multiple discovery paths. You start by calling `list_showcases` to find all albums, then iterate through those showcases using the agent's internal logic. This structured approach ensures you don't miss any content. It lets you build robust processes that check every single corner of a user's Vimeo account.

Setup guide

Set up Vimeo 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 Vimeo 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: "vimeo-mcp-client",
  servers: {
    "vimeo-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

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

const result = await agent.generate(
  "List recent Vimeo 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 Vimeo. 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 Vimeo MCP in Mastra AI

You use the `get_me` tool. Because it's part of a robust workflow, you can build steps around this—for example, check user info first, then proceed to list videos.

You call `search_videos`. Within your workflow, you can wrap this search in a retry loop. If the initial query fails, the agent tries again with a slightly different parameter.

Yep. The `delete_video` tool is available. You can wrap this deletion in a confirmation step, forcing human approval before the video actually gets removed from Vimeo.

Absolutely. The workflow handles both `list_channels` and `list_groups`. You can build a sequence that gathers all associated user context before performing an action.

The server touches detailed video metadata, including IDs, titles, and revision history. This is key for making automated changes using tools like `update_video`.

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