How to Use the Wistia MCP in Mastra AI

Q: How can Mastra AI handle Wistia project creation?

You call createnewproject and pass a descriptive name. Your workflow engine handles this as the first step, ensuring the new project container is ready for media uploads.

Q: What data does the MCP Server touch when handling Wistia assets?

The server touches metadata, project details, and all specific asset IDs. This includes information about name, description, and the hashed ID of every piece of media.

Q: If I delete a video using Mastra AI, what happens?

The deletemediaasset action is irreversible. Use this tool only when you are 100% sure the asset and all its derivatives must be permanently removed.

Q: Can I list all Wistia projects using Mastra AI?

Yes, listwistiaprojects gathers a comprehensive index of every folder in your account. Your workflow can then use this list to check for missing content.

Q: What is the data type handled by Wistia when using Mastra AI?

The server manages all metadata related to media assets and projects, including creation details and descriptive attributes necessary for reporting.

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Setup Wistia with Mastra AI

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Orchestrating multi-step Wistia processes with MCP Server

Mastra AI lets you build conditional logic that handles failure gracefully. You can create a workflow that first calls `list_wistia_medias` to check for assets, and if the count is low, then trigger an upload using `upload_video_via_url`. This robust setup means your agent automatically retries steps, like checking project details with `get_project_details`, until it succeeds or notifies you of a definitive failure.

Wistia analytics tracking via Mastra AI

Need to track performance? Use the `get_engagement_statistics` tool in your workflow. This pulls detailed viewer stats for any given video, allowing subsequent steps to decide on a follow-up action. Alternatively, you can check overall asset health by running `list_wistia_medias`, then passing those results into the next step of your automated pipeline.

Project and metadata governance with Mastra AI

If a project needs restructuring, start with `get_project_details` to map out all existing media. Then, you can use `create_new_project` to build the new folder structure for the content. Updating asset information is handled by `update_media_metadata`. This ensures that when your agent modifies a video's name or description, it uses the correct hashed ID.

Setup guide

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

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

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

You call `create_new_project` and pass a descriptive name. Your workflow engine handles this as the first step, ensuring the new project container is ready for media uploads.

The server touches `metadata`, `project details`, and all specific asset IDs. This includes information about name, description, and the hashed ID of every piece of media.

The `delete_media_asset` action is irreversible. Use this tool only when you are 100% sure the asset and all its derivatives must be permanently removed.

Yes, `list_wistia_projects` gathers a comprehensive index of every folder in your account. Your workflow can then use this list to check for missing content.

The server manages all `metadata` related to media assets and projects, including creation details and descriptive attributes necessary for reporting.

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