How to Use the MonkeyLearn MCP in VS Code Copilot

Q: Does VS Code Copilot show all MonkeyLearn extractors?

Yes, calling listextractors will display all available keyword and entity models in your account. The output is directly readable in your chat interface.

Standardize team-wide text analysis using the MonkeyLearn MCP server for VS Code Copilot.

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Connect MonkeyLearn MCP to VS Code Copilot

Create your Vinkius account to connect MonkeyLearn to VS Code Copilot 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 VS Code Copilot

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Team-wide text classification

Deploy `classify_text` across your team by committing the config to your repo. Every developer gets access to the same classification models for consistent triage. This eliminates configuration drift. Your entire team works with the exact same tools and logic for processing incoming data.

Automated data extraction

Use `extract_text` to build standardized data pipelines within your editor. It pulls keywords and entities that your team can use for downstream logic. VS Code Copilot manages the connection, ensuring your team has access to the latest extraction results during development.

Model and extractor discovery

Run `list_classifiers` and `list_extractors` to see what is available in your shared account. It lists every model your team has trained. This makes onboarding new developers faster. They can see exactly which models are ready to use without asking for documentation.

Setup guide

Set up MonkeyLearn MCP in VS Code Copilot

Prerequisites

VS Code 1.99 or later with GitHub Copilot extension
Active Vinkius subscription with a valid endpoint token

1

Open MCP configuration

Open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and run "MCP: Add Server". Select HTTP (Streamable) as the server type. VS Code will create .vscode/mcp.json in your workspace.
2

Add the MonkeyLearn MCP

Paste the JSON snippet shown on the right into your .vscode/mcp.json. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Switch to Agent mode

Open Copilot Chat (Cmd+Shift+I / Ctrl+Shift+I) and switch to Agent mode using the dropdown. MCP tools are only available in Agent mode — they do not appear in Edit or Ask modes.
4

Verify the connection

In the Copilot Chat input, type # to list available tools. You should see the MonkeyLearn tools listed. Try asking: "List my recent MonkeyLearn transactions" and Copilot will invoke them automatically.

.vscode/mcp.json

{
  "mcpServers": {
    "monkeylearn-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

Get your connection token →

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Common questions about MonkeyLearn MCP in VS Code Copilot

Define your server in a .vscode/mcp.json file at the root of your project. This file is shared via Git, ensuring everyone on your team has identical tool access.

You can integrate the classification tools into your local development flow to test routing logic. It helps you verify your models before deploying to production.

Yes, calling `list_extractors` will display all available keyword and entity models in your account. The output is directly readable in your chat interface.

The server architecture is designed for standard MCP compliance, fitting into your existing development environment security policies.

Data is sent over secure channels directly to the analysis endpoint. The server handles the request and response lifecycle without caching or retaining your proprietary text snippets.

Use it with your favorite AI tools

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

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