How to Use the Modelbit (ML Model Deployments) MCP in Windsurf
Use Modelbit (ML Model Deployments) in Windsurf to run live model inferences directly from your codebase.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Modelbit (ML Model Deployments) MCP to Windsurf
Create your Vinkius account to connect Modelbit (ML Model Deployments) to Windsurf and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Run model inferences inside Windsurf
Stop switching contexts to test your models. The `get_inference` tool lets Cascade push live data to your endpoints and grab the results instantly. Your agent handles the payload structure, so you stay focused on the code. It keeps the feedback loop tight while you iterate.
Connect Modelbit to your Windsurf workflow
Add this MCP server to your config and let Cascade manage the connection. It maps your local variables to the endpoint requirements automatically. Forget manual API wiring. Your agent reads the schema and executes the call whenever you need a prediction.
Automate data testing with your AI client
Feed production-grade data into your models without leaving the IDE. Cascade uses `get_inference` to validate model behavior against real scenarios. This catches edge cases early. You see the model output directly in the chat window, keeping your testing logic visible.
Set up Modelbit (ML Model Deployments) MCP in Windsurf
Prerequisites
- Windsurf IDE installed (macOS, Windows, or Linux)
- Active Vinkius subscription with a valid endpoint token
- 1
Open MCP configuration
Click the Cascade assistant icon in the sidebar, then click the hammer icon (🔨) at the top of the panel. Select "Configure" to open
~/.codeium/windsurf/mcp_config.json. - 2
Add the Modelbit (ML Model Deployments) MCP
Paste the JSON snippet shown on the right into the
mcpServersobject. Replace[YOUR_TOKEN_HERE]with your endpoint token from cloud.vinkius.com. - 3
Refresh MCPs
Go back to the hammer icon (🔨) in Cascade and click "Refresh". Windsurf will detect the new server. No full restart is needed — the connection is hot-reloaded.
- 4
Verify in Cascade
Start a new Cascade conversation and ask something like "Show my Modelbit (ML Model Deployments) payment history." If connected, Cascade will call the Modelbit (ML Model Deployments) tools directly. You will see a green dot next to the server name in the MCP panel.
{
"mcpServers": {
"modelbit-ml-model-deployments-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 Modelbit. 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 Modelbit (ML Model Deployments) MCP in Windsurf
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
Start using the Modelbit (ML Model Deployments) MCP today
We host it, we monitor it, we maintain it. You just paste one token.
