How to Use the Wistia MCP in Cursor

Q: How do I use Wistia project details when coding in Cursor?

You prompt the agent to call getprojectdetails. The AI reads the returned metadata and writes code that uses specific fields—like a unique ID or creation date—to make your function work. You get live data right into your editor.

Q: Can I list all videos using Wistia with Cursor?

Yes, start by calling listvideos. The agent injects the resulting array of media records directly into your code block. You can then write loops or mapping functions that process every video ID found.

Q: Does Wistia account analytics work with Cursor?

The getaccountanalytics tool provides live stats you can use in your codebase. Your agent treats this response like any other API call, allowing you to write reporting functions that rely on real numbers.

Q: What if I need captions data for Wistia with Cursor?

You first get a video ID and then use listvideocaptions. The agent pulls the caption list into your code, so you can write logic that processes each available language or track. It’s ready to compile immediately.

Write Wistia-powered code in Cursor; let your agent use real API stats to build video features without mock data.

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Connect Wistia MCP to Cursor

Create your Vinkius account to connect Wistia to Cursor 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 Wistia with Cursor

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Update Video Metadata in Code

Need to write a function that changes video information? Use `update_video_details` and the AI will inject live code using real Wistia responses. You'll pass parameters like new descriptions or tags, and the resulting code snippet is immediately functional. This saves you from having to manually mock out API calls just to test your logic flow. The agent generates working methods that use actual data types.

Get Project Context Live

If your feature depends on project metadata, start by calling `get_project_details`. The AI reads the live JSON response from this tool and uses it to write contextual code. For instance, you can build logic that only runs if a project status matches 'live.' Don't worry about manual data entry; the agent handles the boilerplate of integrating live API calls into your function signatures.

List and Analyze Media Assets

When building an asset inventory tool, use `list_videos` to get a current array of all media IDs. The AI then iterates over this list, allowing you to write code that processes every single video record. Want more detail? You can follow up by using `get_video_stats` inside your loop. This lets your program calculate metrics (like total views) for every single item in the manifest.

Setup guide

Set up Wistia MCP in Cursor

Prerequisites

Cursor installed (macOS, Windows, or Linux)
Active Vinkius subscription with a valid endpoint token

1

Open MCP Settings

Go to Cursor Settings → MCP or open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and search for "MCP: Add Server".
2

Add the Wistia MCP

Cursor will create or open .cursor/mcp.json in your project root. Paste the JSON snippet on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Enable Agent mode

Open Composer (Cmd+I / Ctrl+I) and switch to Agent mode using the dropdown at the top. MCP tools are only available in Agent mode.
4

Verify the connection

Ask Cursor something like "List my recent Wistia transactions." If the MCP tools are loaded correctly, Cursor will call the Wistia tools automatically. You can also check Settings → MCP for a green status indicator.

.cursor/mcp.json

{
  "mcpServers": {
    "wistia-alternative-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

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Common questions about Wistia MCP in Cursor

You prompt the agent to call `get_project_details`. The AI reads the returned metadata and writes code that uses specific fields—like a unique ID or creation date—to make your function work. You get live data right into your editor.

Yes, start by calling `list_videos`. The agent injects the resulting array of media records directly into your code block. You can then write loops or mapping functions that process every video ID found.

The `get_account_analytics` tool provides live stats you can use in your codebase. Your agent treats this response like any other API call, allowing you to write reporting functions that rely on real numbers.

You first get a video ID and then use `list_video_captions`. The agent pulls the caption list into your code, so you can write logic that processes each available language or track. It’s ready to compile immediately.

This server touches video metadata, project details, and performance analytics. Specifically, it provides structured access to media records and associated metrics for coding use cases.

Use it with your favorite AI tools

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

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