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How to Use the MonkeyLearn MCP in Windsurf

Use the MonkeyLearn MCP Server in Windsurf to automate text classification and entity extraction directly within your codebase.

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Windsurf

Connect MonkeyLearn MCP to Windsurf

Create your Vinkius account to connect MonkeyLearn to Windsurf 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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Automate text analysis in Windsurf

Cascade can now pull your support data through `classify_text` without leaving the editor. It maps raw feedback to your existing categories, letting the agent handle triage before you even look at a ticket. This MCP Server provides direct access to your account's logic. Cascade uses `list_classifiers` to identify which models are ready, ensuring it always hits the right endpoint for the specific data you're parsing.

Extract insights with Cascade

Feed unstructured text into `extract_text` to pull out keywords and entities instantly. Windsurf processes these results to build structured data models from messy customer logs. Use `get_extractor_details` to verify the schema before you run the extraction. This keeps your data pipelines clean and prevents the agent from guessing field names.

Manage your workflows in Windsurf

Cascade stays in sync with your production setup by calling `list_workflows` and `list_pipelines`. You get a clear view of your active automation chains directly in the MCP panel. If you need to audit your account status, `list_activity` provides the logs. Windsurf tracks these events, helping you debug why a specific classification might have failed in your local dev environment.

Setup guide

Set up MonkeyLearn MCP in Windsurf

Prerequisites

  • Windsurf IDE installed (macOS, Windows, or Linux)
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Open MCP configuration

    Click the Cascade assistant icon in the sidebar, then click the hammer icon (🔨) at the top of the panel. Select "Configure" to open ~/.codeium/windsurf/mcp_config.json.

  2. 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. 3

    Refresh MCPs

    Go back to the hammer icon (🔨) in Cascade and click "Refresh". Windsurf will detect the new server. No full restart is needed — the connection is hot-reloaded.

  4. 4

    Verify in Cascade

    Start a new Cascade conversation and ask something like "Show my MonkeyLearn payment history." If connected, Cascade will call the MonkeyLearn tools directly. You will see a green dot next to the server name in the MCP panel.

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

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by MonkeyLearn. 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

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Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

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place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about MonkeyLearn MCP in Windsurf

Add the server config to your ~/.codeium/windsurf/mcp_config.json file. Once you refresh the MCP panel, Windsurf automatically discovers every tool.
Yes, you can chain multiple tool calls in Cascade. Just describe the batch task, and it will loop through the items using the available tools.
The server only transmits the specific text you send to the API. We do not store your data, and Vinkius uses an ephemeral sandbox for all connections.
It does. Use `list_classifiers` to see every model you've trained. Any model in your account is accessible through the MCP connection.
The MCP Server returns a specific error message. Cascade will report this failure in the chat, allowing you to re-run the task or check your API token.

Start using the MonkeyLearn MCP today

We host it, we monitor it, we maintain it. You just paste one token.

Built & Managed by Vinkius 30s setup 10 tools

We've already built the connector for MonkeyLearn. Just plug in your AI agents and start using Vinkius.

No hosting. No infrastructure. No complex setup.
All 10 tools are live and waiting. You're up and running in seconds.

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