How to Use the NLP Cloud MCP in Windsurf
Connect NLP Cloud to Windsurf and let Cascade run multi-step text and audio analysis while you focus on other things.
Works with every AI agent you already use
…and any MCP-compatible client
Connect NLP Cloud MCP to Windsurf
Create your Vinkius account to connect NLP Cloud 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.
Chain NLP Tasks Autonomously
Give Cascade a goal like, "Summarize and check the tone of this user feedback doc." It will read the file, run `summarize_text`, and then pass the result to `analyze_sentiment` on its own. You don't have to prompt each step. Cascade sees the available NLP Cloud tools and plans the sequence. It’s the difference between giving step-by-step directions and just asking for the final report.
From Audio to Translated Text
This MCP server adds audio processing to your agent. Drop an audio file into your project and tell Cascade, "Transcribe this recording and translate it to Spanish." It gets the job done without you having to find separate services. Cascade calls `perform_asr` to get the raw text, then immediately feeds that transcript into `translate_text`. The final translated text appears in your editor, ready to use. No more copy-pasting between steps.
Structure Unstructured Data for Windsurf
Point Cascade at a block of text—a support ticket, a product review, whatever. It can use `extract_entities` to pull out names, locations, and dates, giving you structured data from a messy source. You can also have it categorize the text with `classify_text` using your own labels. This lets you turn raw text into something your code can actually work with, all orchestrated by your agent inside Windsurf.
Set up NLP Cloud 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 NLP Cloud 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 NLP Cloud payment history." If connected, Cascade will call the NLP Cloud tools directly. You will see a green dot next to the server name in the MCP panel.
{
"mcpServers": {
"nlp-cloud-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 NLP Cloud. 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 NLP Cloud MCP in Windsurf
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
Start using the NLP Cloud MCP today
We host it, we monitor it, we maintain it. You just paste one token.