How to Use the Gumlet MCP in Cursor
Generate code using live media stats and asset feeds inside Cursor.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Gumlet MCP to Cursor
Create your Vinkius account to connect Gumlet 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.
Code with live media contexts in Cursor
Stop writing code against stale mock data. This MCP server lets the Cursor composer run `list_videos` and `get_video_details` to inject actual JSON payloads directly into your frontend video player components. The editor uses real asset IDs and processing states to write accurate, production-ready playback logic. You get working code on the first try without guessing API responses.
Automate media asset pipeline scripting
Cursor calls `create_video_upload` to test ingestion scripts, ensuring your backend code handles upload URLs correctly. This removes the manual back-and-forth when testing file upload systems. You can also programmatically update asset metadata. The agent executes `update_video_thumbnail` to adjust frame offsets, letting you test thumbnail generation logic directly from the sidebar using this MCP workflow.
Debug webhook integrations from the editor
Cursor queries `list_webhooks` to inspect active triggers and match them against your local routing code. It ensures your event listeners are listening to the correct endpoints. If a webhook fails, ask the editor to compare your local API routes with the active endpoints. This direct MCP connection shortens the loop between writing a handler and testing live event delivery.
Set up Gumlet 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 Gumlet MCP
Cursor will create or open
.cursor/mcp.jsonin 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 Gumlet transactions." If the MCP tools are loaded correctly, Cursor will call the Gumlet tools automatically. You can also check Settings → MCP for a green status indicator.
{
"mcpServers": {
"gumlet-mcp": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
} Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Gumlet. 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.
Why Choose Vinkius
Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.
Real-time monitoring
Live
visibility into every interaction
Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.
Built-in savings
60%
lower AI costs
Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.
Single dashboard
One
place for every integration
Every tool your AI connects to, managed from a single screen. One account, complete control.
Common questions about Gumlet MCP in Cursor
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
Start using the Gumlet MCP today
We host it, we monitor it, we maintain it. You just paste one token.