How to Use the NLP Cloud MCP in Claude Code

Q: How do I use the NLP Cloud tools with Claude Code in a script?

Once you add the server, you call tools with claude mcp run nlp-cloud-mcp . You can use flags for parameters, like --text='your text', or pipe data into it from other commands.

Q: Can Claude Code and NLP Cloud process a local audio file?

Yes. You use the performasr tool and provide the path to your audio file using the appropriate parameter. It's designed for headless execution in environments like Docker containers or remote servers.

Q: How do I handle NLP Cloud auth in a CI/CD environment with Claude Code?

You configure the Vinkius endpoint token once with claude mcp add. Claude Code manages the connection, so you don't need to expose your NLP Cloud API key in your CI scripts. The auth is handled by the MCP client.

Q: How is my text data handled for privacy in a CI pipeline?

The text or audio data you send via tools like translatetext is processed in-memory. Vinkius acts as a secure proxy to NLP Cloud and does not retain any of your request payloads. It's built for ephemeral, transactional processing.

Pipe text through NLP Cloud from your terminal. A set of command-line NLP tools for your CI/CD pipelines and shell scripts.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect NLP Cloud MCP to Claude Code

Create your Vinkius account to connect NLP Cloud to Claude Code and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Setup NLP Cloud with Claude Code

Ask AI about this MCP

ChatGPT

Claude

Perplexity

NLP in Your CI/CD Pipeline

This isn't for conversational chat. Connect this MCP server to Claude Code and you get six new commands for your terminal. You can pipe a log file into `analyze_sentiment` to check for user frustration as part of a deployment script. It's designed for automation. Use `classify_text` in a cron job to sort incoming feedback, or run `extract_entities` on commit messages to automatically tag issues. The output is clean JSON, so you can pipe it to `jq` or another script.

Headless Transcription and Translation

Run audio processing from a server or a GitHub Action. With the `perform_asr` tool, you can point to an audio file and get the transcript back as standard output. No GUI needed. You can chain it with other commands. For example: `claude mcp run nlp-cloud-mcp perform_asr --file=./voicemail.mp3 | claude mcp run nlp-cloud-mcp translate_text --target=en`. You can build powerful media processing pipelines right in your shell.

Scriptable Text Summarization

The `summarize_text` tool is perfect for automated reporting. In a script, you can fetch an article with `curl`, pipe the content to this tool, and then send the summary to a Slack channel. Because it's just another command-line tool, it fits perfectly into existing workflows. Generate weekly summaries of all your team's documents or create quick digests of long reports without any manual work.

Setup guide

Set up NLP Cloud MCP in Claude Code

Prerequisites

Claude Code CLI installed (npm install -g @anthropic-ai/claude-code)
Active Vinkius subscription with a valid endpoint token

1

Run the add command

Open your terminal and run the command shown on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com. Use --scope user to make it available across all projects.
2

Verify the connection

Start a Claude Code session and type /mcp to list connected servers. You should see nlp-cloud-mcp with a green status indicator.
3

Start using tools

Ask Claude Code something like "Check my latest NLP Cloud transactions." It will automatically discover and invoke the available NLP Cloud tools.

Terminal

claude mcp add --transport http nlp-cloud-mcp https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

Get your connection token →

Prerequisites

Claude Code CLI installed
Active Vinkius subscription with a valid endpoint token

1

Open the config file

Create or edit .mcp.json in your project root for project-level scope, or ~/.claude.json for user-level scope.
2

Add the NLP Cloud MCP

Paste the JSON snippet shown on the right into the mcpServers object. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Restart Claude Code

Start a new Claude Code session. Type /mcp to confirm the server is connected. The tools will be automatically available in your conversation.

.mcp.json

{
  "mcpServers": {
    "nlp-cloud-mcp": {
      "type": "url",
      "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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect NLP Cloud now

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 Claude Code

Once you add the server, you call tools with `claude mcp run nlp-cloud-mcp `. You can use flags for parameters, like `--text='your text'`, or pipe data into it from other commands.

Yes. You use the `perform_asr` tool and provide the path to your audio file using the appropriate parameter. It's designed for headless execution in environments like Docker containers or remote servers.

You configure the Vinkius endpoint token once with `claude mcp add`. Claude Code manages the connection, so you don't need to expose your NLP Cloud API key in your CI scripts. The auth is handled by the MCP client.

Yes, the server returns structured JSON. This means you can pipe the output directly to tools like `jq` to extract specific fields, making it simple to integrate into your existing shell scripts.

The text or audio data you send via tools like `translate_text` is processed in-memory. Vinkius acts as a secure proxy to NLP Cloud and does not retain any of your request payloads. It's built for ephemeral, transactional processing.

Use it with your favorite AI tools

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

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript