How to Use the EX.CO Video Experience MCP in Cursor

Q: How do I add the EX.CO Video Experience MCP Server to Cursor?

Create a .cursor/mcp.json file in your project root or edit your global settings. Add the server under the mcpServers key with your EX.CO credentials, then enable Agent mode in your chat to start querying your video library.

Q: Can the Cursor agent use EX.CO Video Experience to write test suites?

Yes, the agent can run getvideodetaileddata to fetch real metadata, and then use that exact payload structure to generate accurate Jest or Mocha test suites for your video player components.

Q: How do I pull video performance summaries into my Cursor chat?

Just ask the editor's AI agent to run a quickvideoperformanceaudit. It will fetch your high-level engagement metrics and display them in the chat panel, helping you diagnose playback issues while reviewing code.

Write code and inject real-time EX.CO Video Experience analytics directly into your Cursor editor workspace.

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Connect EX.CO Video Experience MCP to Cursor

Create your Vinkius account to connect EX.CO Video Experience 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 EX.CO Video Experience with Cursor

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Generate code with real EX.CO Video Experience data

Stop writing code against mock payloads or outdated stubs. When you write video player integrations in Cursor, this MCP Server lets your agent call `get_video_detailed_data` to pull your actual video metadata directly into your active file. This means you can write precise frontend components or backend sync scripts based on real JSON structures. Your agent uses `get_content_detailed_intelligence` to reference actual payload schemas, ensuring your code works the first time you deploy.

Audit video distribution channels inside Cursor

Debug your video distribution setups without leaving your code editor. Your agent uses `list_video_distribution_channels` to inspect your active endpoints, letting you verify channel IDs and configurations while you build your media application. If you need to check account constraints, the agent queries `get_ex_co_account_metadata` to grab your rate limits. This keeps your API calls optimized and prevents unexpected runtime errors in your video integration code.

Verify published assets while coding

Make sure your application references active videos by pulling real-time statuses. The agent executes `list_successfully_published_videos` to compile a clean list of live assets, which you can immediately format into your database seeds or configuration arrays. You can also use `list_video_playlists` to map out your feed structures. This makes it simple to build dynamic video carousels or custom players in Cursor using actual production data.

Setup guide

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

.cursor/mcp.json

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

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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 EX.CO Video Experience. 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 EX.CO Video Experience MCP in Cursor

Create a `.cursor/mcp.json` file in your project root or edit your global settings. Add the server under the mcpServers key with your EX.CO credentials, then enable Agent mode in your chat to start querying your video library.

Yes, the agent can run `get_video_detailed_data` to fetch real metadata, and then use that exact payload structure to generate accurate Jest or Mocha test suites for your video player components.

Yes, you can commit a project-scoped MCP configuration file to your repository. This ensures that any developer opening the project in Cursor can immediately access tools like `list_video_library` with the correct environment variables.

Just ask the editor's AI agent to run a `quick_video_performance_audit`. It will fetch your high-level engagement metrics and display them in the chat panel, helping you diagnose playback issues while reviewing code.

Your EX.CO video performance numbers, interactive content lists, and API tokens remain secure within Cursor's runtime environment. The connection is established directly with the EX.CO API using this MCP Server via a secure, short-lived sandbox, ensuring your proprietary analytics data is never cached or used to train external models.

Use it with your favorite AI tools

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

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