How to Use the MonkeyLearn MCP in Claude Code

Run the MonkeyLearn MCP Server with Claude Code for terminal-based text analysis and automated pipeline management.

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Connect MonkeyLearn MCP to Claude Code

Create your Vinkius account to connect MonkeyLearn 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.

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Setup MonkeyLearn with Claude Code

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Claude

Perplexity

Terminal-based text classification

Pipe text directly into `classify_text` from your shell. Claude Code handles the response, allowing you to build automated triage scripts that run in your CI/CD pipeline. Use `list_classifiers` to see what models are available before running your script. This ensures your automated jobs target the correct model ID every time.

Extract data via CLI

Integrate `extract_text` into your backend workflows. Claude Code executes the extraction and returns the clean JSON to your terminal output for further piping. Check `get_extractor_details` to verify the schema. This helps you write robust parsing logic for the JSON returned by the tool.

Manage your MonkeyLearn account

Query your account state using `list_workflows` or `list_tag_trees` directly from the command line. It’s the fastest way to audit your setup without switching contexts. If you need to verify account health, `list_activity` provides the metrics you need. Claude Code prints this data directly to stdout, perfect for monitoring cron jobs.

Setup guide

Set up MonkeyLearn 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 monkeylearn-mcp with a green status indicator.
3

Start using tools

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

Terminal

claude mcp add --transport http monkeylearn-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 MonkeyLearn 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": {
    "monkeylearn-mcp": {
      "type": "url",
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

Get your connection token →

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Common questions about MonkeyLearn MCP in Claude Code

Use the command: claude mcp add --transport http monkeylearn -- . Your configuration is saved in ~/.claude.json.

Yes. You can write a shell script that triggers Claude Code to fetch data, classify it, and pipe the result to another tool.

Set the token as an environment variable before running your command. Claude Code will inject it into the server process securely.

All 10 tools are available. You can list them anytime by running the command that triggers the MCP tool discovery.

The server processes text in memory only. It does not persist your sensitive text data or PII, and all connections are restricted to your local machine.

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