How to Use the Vimeo MCP in Cursor

Q: How do I start writing code that pulls my user data using Vimeo and Cursor?

Start with the getme tool. The AI uses this to fetch your profile details, which it then injects as a variable into your current file. You don't need to leave the editor to get live context. This is much faster than running API calls in a separate terminal.

Q: If I list all my videos using Vimeo and Cursor, what data gets returned?

The listvideos tool returns an array of video objects. These include IDs, titles, and current status. The agent can then iterate over this array to build a loop or process records within your code. It gives you enough context to write the next step in your program.

Q: Can I check my organization's content structure using Vimeo and Cursor?

Yes, you can use listgroups to see associated groups. The agent integrates these list results directly into your file, helping you write code that accounts for group IDs. It provides the necessary scope identifiers.

Write and code against Vimeo data directly in Cursor's Agent Mode.

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Connect Vimeo MCP to Cursor

Create your Vinkius account to connect Vimeo 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 Vimeo with Cursor

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Claude

Perplexity

Programmatic Content Management

The `update_video` tool lets you write code that changes video metadata, like changing a description or adding tags. The AI generates the function call and injects live results directly into your file. This means you aren't just seeing mock data; your script uses real Vimeo API responses.

Contextual Content Discovery

When developing code that needs public video examples, use `search_videos`. The agent can execute this call and write the results right into a function's test case. This keeps your context live. It’s perfect for writing boilerplate code around external content sources.

Accessing User Data Structures

Need to map out project structure? Call `list_folders` or `list_channels`. The AI reads the output and lets you integrate those structured lists into your codebase. You'll get a working list of folder IDs, for example. This ability saves time when building multi-step applications.

Setup guide

Set up Vimeo 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 Vimeo 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 Vimeo transactions." If the MCP tools are loaded correctly, Cursor will call the Vimeo tools automatically. You can also check Settings → MCP for a green status indicator.

.cursor/mcp.json

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

Get your connection token →

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 Cursor

Start with the `get_me` tool. The AI uses this to fetch your profile details, which it then injects as a variable into your current file. You don't need to leave the editor to get live context. This is much faster than running API calls in a separate terminal.

The `list_videos` tool returns an array of video objects. These include IDs, titles, and current status. The agent can then iterate over this array to build a loop or process records within your code. It gives you enough context to write the next step in your program.

This server touches video metadata, specifically details used by `get_video`. The agent reads attributes like a single video’s duration or privacy setting. It provides the raw data necessary for your code logic.

Yes, you can use `list_groups` to see associated groups. The agent integrates these list results directly into your file, helping you write code that accounts for group IDs. It provides the necessary scope identifiers.

The live API responses are passed as structured variables to your running code. The agent ensures this data is treated as real results, not placeholder stubs, letting you build against actual Vimeo data.

Use it with your favorite AI tools

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

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