How to Use the NLP Cloud MCP in Cursor

Q: Can Cursor Agent mode use NLP Cloud to write code?

Yes, the Cursor agent can call classifytext to see how the model behaves, then write the corresponding parser code based on the real JSON payload. This eliminates the guesswork of working with raw APIs.

Q: Does Cursor support audio transcription via NLP Cloud?

Yes, you can ask the editor to run performasr on any audio file in your project directory using this MCP Server. The transcribed text is returned directly to your Cursor context for editing or processing.

Generate production-ready code in Cursor using live NLP Cloud analysis and real-time transcriptions.

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Connect NLP Cloud MCP to Cursor

Create your Vinkius account to connect NLP Cloud 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 NLP Cloud with Cursor

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Claude

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Clean structured data directly in your Cursor editor

Let the Cursor agent run `extract_entities` on raw log files or customer emails to extract structured JSON directly in your editor. It injects the actual parsed data straight into your active code files instead of using fake mock data. You do not have to write regex scripts to clean your inputs. The MCP Server executes the entity extraction and passes the clean objects to Cursor, so you can focus on building the application logic.

Automate code testing with this NLP Cloud MCP Server

Test your application's classification logic by asking Cursor to run `classify_text` and `analyze_sentiment` on your test suites. The editor executes the tools against actual production models to verify your code behaves correctly. This tight loop lets you debug edge cases in sentiment processing without leaving your Cursor editor. The agent handles the API calls and updates your test assertions in real time.

Translate and summarize assets inside your workspace

Localize your static markdown files or code comments by invoking `translate_text` directly within Cursor. The agent can also run `summarize_text` on long documentation files to generate quick inline README summaries. If you work with audio assets, the `perform_asr` tool transcribes media files directly into your Cursor workspace. Cursor can then use those transcriptions to generate subtitles or index search terms.

Setup guide

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

.cursor/mcp.json

{
  "mcpServers": {
    "nlp-cloud-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 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.

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Common questions about NLP Cloud MCP in Cursor

Create an mcp.json file in your project root or global directory and define the server config there. Cursor will detect the new tools automatically when you open the editor.

Yes, the Cursor agent can call `classify_text` to see how the model behaves, then write the corresponding parser code based on the real JSON payload. This eliminates the guesswork of working with raw APIs.

Yes, you can ask the editor to run `perform_asr` on any audio file in your project directory using this MCP Server. The transcribed text is returned directly to your Cursor context for editing or processing.

The MCP Server processes requests through your Vinkius endpoint, which respects your NLP Cloud plan limits. You can monitor usage directly through the Vinkius dashboard.

Your code files and audio payloads are sent directly to NLP Cloud for processing via secure HTTPS. The Vinkius sandbox operates ephemerally, meaning none of your text or transcribing data is stored on our servers.

Use it with your favorite AI tools

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

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