How to Use the Frame.io MCP in Cursor

Q: How does the Frame.io MCP server work inside Cursor?

You configure the MCP server in your mcp.json file. Then, in Cursor's agent chat, you can ask it to use the Frame.io tools. It will call the API and paste the live data directly into your active code file.

Q: Can I manage Frame.io collaborators from within Cursor?

You can list them. Use the listcollaborators tool to get a JSON object of everyone on a project, which is useful for building reports or custom notification scripts. The current toolset focuses on reading data and adding comments.

Pull live Frame.io asset data and comments directly into your code with Cursor's AI agent.

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Connect Frame.io MCP to Cursor

Create your Vinkius account to connect Frame.io 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 Frame.io with Cursor

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Claude

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Build Integrations with Real Data

Stop coding against stale, mocked data. Tell Cursor's agent to fetch live asset information from your Frame.io project using `get_asset_details` or `list_assets`. The agent calls the tool and injects the actual JSON response right into your editor. This means the code you write to handle Frame.io webhooks or build custom reports works the first time, because it's built with real-world data structures.

Automate Post-Production Workflows in Cursor

Writing a script to automate your review process? You can have the agent `list_review_links` for a project, then loop through them to `list_asset_comments`. This lets you build and test automation scripts inside your IDE. You can even have it draft a summary of feedback or use `add_comment` to automatically flag technical issues. It's your entire creative pipeline, right in the editor.

Query Project Structures on the Fly

When you're building a tool, you need to know the lay of the land. Ask the agent to run `list_projects` or `list_teams` to understand the account structure you're working with. It's faster than digging through API docs. Get a list of collaborators on a project with `list_collaborators` to build out permissions logic, or use `list_folders` to map out a project's directory structure. This MCP connection gives you the ground truth.

Setup guide

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

.cursor/mcp.json

{
  "mcpServers": {
    "frameio-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 Frame.io. 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 Frame.io MCP in Cursor

You configure the MCP server in your `mcp.json` file. Then, in Cursor's agent chat, you can ask it to use the Frame.io tools. It will call the API and paste the live data directly into your active code file.

Yes, that's a core use case. You can instruct the agent to use the `add_comment` tool. This is great for building scripts that auto-generate feedback for QC checks.

It closes the gap between your code and the live API. You're not guessing what the data looks like—Cursor's agent shows you by calling tools like `list_asset_comments` and inserting the real response. Your code is correct from line one.

You can list them. Use the `list_collaborators` tool to get a JSON object of everyone on a project, which is useful for building reports or custom notification scripts. The current toolset focuses on reading data and adding comments.

Yes. The Vinkius-managed MCP server handles authentication, and your token is kept secure. The server only fetches the data your agent explicitly requests, like asset comments or project lists, and doesn't store it. It's a direct, ephemeral pipe for data into your local editor.

Use it with your favorite AI tools

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

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