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Connect NLP Cloud to ChatGPT, Claude and Gemini

Set it up once and it works in ChatGPT, Claude, Cursor, and any other client you love. It all runs safely in the background, so you can relax and focus on what really matters. Give your agent professional grade language processing capabilities.

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

Your AI does the work. We keep it safe and sound.

No other AI tool gives you this. Your workflow runs in the client you already love, your account stays protected, and you decide what the agent can and cannot do. It is the whole reason to make the switch.

Each Connector lives inside our infrastructure, the same place where your workflow runs. The three things below are already part of it, working quietly in the background so you never have to think about them. Nothing to add, nothing to set up, nothing to worry about.

A futuristic MCP client docking bay
V8 Isolate01

Each Connector runs inside its own sealed environment.

Each Connector runs inside its own sealed V8 runtime — no access to your files, your system, or other servers. A Connector never sees past its own request.

Kill Switch02

One switch stops every agent. Instantly.

One action deactivates every Connector, revokes every token, and ends every session at once. AI Governance keeps the record.

FinOps per User03

Spending limits that pause instead of surprise.

Every user keeps their own connections and credentials, isolated from everyone else. Anything that would cross your spending limit is held for your approval, not billed.

Three controls, built into the layer your AI connects through.

Curated set · 6 capabilities

We ship only the actions that matter.

Capability set01 / 02

01-03

3 capabilities in this set.

Part of 6 available through NLP Cloud.

  1. 01

    Perform asr

    This capability converts audio or video files into text transcripts. It uses speech recognition models to turn spoken words into written data.

  2. 02

    Analyze sentiment

    This capability determines the emotional tone of a text block. It identifies whether the content is positive, negative, or neutral.

  3. 03

    Classify text

    This capability assigns text to specific, predefined categories. It helps your agent organize information into custom labels.

Capability set02 / 02

04-06

3 capabilities in this set.

Part of 6 available through NLP Cloud.

  1. 04

    Extract entities

    This capability pulls named entities like people, locations, and organizations from text. It is useful for structured data extraction.

  2. 05

    Summarize text

    This capability condenses long pieces of writing into shorter versions. It captures the main points of a document quickly.

  3. 06

    Translate text

    This capability converts text from one language to another. It uses high accuracy models to maintain meaning across different languages.

Real work

What teams actually run

01

Customer Feedback Analysis

An agent reads through hundreds of reviews to detect sentiment and categorize them by topic.

02

Meeting Transcription

You turn a recorded meeting into a written transcript for easy review.

03

Document Summarization

You condense long legal or technical documents into brief summaries for quick reading.

04

Automated Data Tagging

You extract names, dates, and locations from incoming text to populate a database.

Automate a task

Put NLP Cloud to work on one thing.

Step-by-step automations your AI runs through this Connector: the workflow, the prompts to start with, and the exact capabilities behind each move.

One connector, every AI

NLP Cloud works with the most popular AI clients.

These are the most popular clients, each with a step-by-step guide: one link, set up once, with governance and visibility built in. And because everything runs on the MCP standard, the same connection also works in any other compatible client — nothing to rebuild.

ClaudeClaudeChatGPTChatGPTGeminiGeminiPerplexityPerplexityGrokGrokMicrosoft CopilotMicrosoft CopilotCursorCursorVS CodeVS CodeWindsurfWindsurfJetBrainsJetBrainsClineClineLangChainLangChainVercel AI SDKVercel AI SDKLovableLovableZ.aiZ.aiRaycastRaycastQwen CodeQwen CodeKimi CodeKimi CodeLe ChatLe Chat

Building your own app? The connector is yours to use.

You don't need a client to put NLP Cloud to work: the same hosted connection plugs into your own applications and agent code, with the same governance on every request. Build with it, chat with it — one connection for both.

Observed, not estimated

1005ms average. Fast in production.

NLP Cloud is checked daily against the live service.

Daily averagePeak 1278ms
Oct 3Today
Fastest day
763ms
Slowest day
1278ms
14-day trend
Stable+3%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 6 capabilities arrive ready to run.

Preview access · not provider authentication

The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of NLP Cloud, so you can see the experience inside your AI.

It does not authenticate your account with NLP Cloud. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

NLP Cloud Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_TygJx4Ynpq3UrhtpB9CKQR9p9ecKrou9Sxa7mRBw/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — NLP Cloud capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "nlp-cloud-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_TygJx4Ynpq3UrhtpB9CKQR9p9ecKrou9Sxa7mRBw/mcp"
    }
  }
}
  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Step-by-step instructions for each client are in the guide. How to connect

Guided setup for Claude? Set up NLP Cloud in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work NLP Cloud owners hand off.

This MCP is built for technical users and professionals who need to automate text and audio analysis.

  • 01

    Data Scientists

    They use it to test and integrate NLP capabilities without setting up their own infrastructure.

  • 02

    Content Managers

    They use it to automate the tagging and summarization of large volumes of content.

  • 03

    Customer Support Leads

    They use it to categorize and analyze the sentiment of incoming support tickets.

FAQ

Questions NLP Cloud owners ask.

  • 01

    How do I connect this MCP to my AI client?

    You subscribe to the MCP through Vinkius and then connect your client, such as Claude or Cursor, in one click. You will need to provide your NLP Cloud API token during setup.

  • 02

    What kind of audio files can I process?

    The perform_asr capability allows you to extract text from both audio and video files using speech recognition.

  • 03

    Do I need to train my own models for classification?

    No. The classify_text capability uses zero-shot classification, which lets you categorize text into custom labels without any specific training data.

  • 04

    Can I use this for translation?

    Yes. The translate_text capability allows you to translate content between dozens of different languages.

  • 05

    What is the main benefit of using this MCP over a standard API?

    Vinkius hosts the MCP for you, meaning you don't have to manage the connection or the infrastructure yourself. You just connect and start using the capabilities.

  • 06

    Can I summarize a long article using a specific model like BART?

    Yes! Use the summarize_text capability and specify the model (e.g., 'bart-large-cnn') along with your text. You can also enable use_gpu for faster processing.

  • 07

    How do I extract names and locations from a document?

    You can use the extract_entities capability. Provide the text and a NER model (like 'en_core_web_lg'), and the agent will return a list of identified entities such as persons, organizations, and locations.

  • 08

    Is it possible to transcribe audio files into text?

    Absolutely. Use the perform_asr capability with a model like 'whisper'. You'll need to provide a JSON payload containing the audio URL or data as required by the NLP Cloud API.

Explore

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