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.
Works with every AI agent you already use
…and any MCP-compatible client
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.
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.
Set up MonkeyLearn MCP in Windsurf
Prerequisites
- Windsurf IDE installed (macOS, Windows, or Linux)
- Active Vinkius subscription with a valid endpoint token
- 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
Add the MonkeyLearn MCP
Paste the JSON snippet shown on the right into the
mcpServersobject. Replace[YOUR_TOKEN_HERE]with your endpoint token from cloud.vinkius.com. - 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
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.
{
"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
Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.
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 MonkeyLearn MCP in Windsurf
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
Start using the MonkeyLearn MCP today
We host it, we monitor it, we maintain it. You just paste one token.