Use MonkeyLearn with your AI.
Connect your account once and let the AI you already use work with it, without building another integration. Automate text analysis via MonkeyLearn. classify sentiment, extract keywords, and run custom NLP pipelines directly from any AI agent.
Developed, maintained, and hosted by Vinkius.
MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED
Waiting for input…
Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.
Complete set · 3 capabilities
The complete MonkeyLearn capability set.
These are the exact actions your AI can choose when you ask it to work with MonkeyLearn.
01-03
3 capabilities in this set.
Part of 3 available through MonkeyLearn.
- 01
Classify text
G., Sentiment Analysis, Topic Classification) using a specific MonkeyLearn classifier model. Classify text into predefined labels
- 02
Extract data
Extract specific data from text
- 03
Run pipeline
Run a MonkeyLearn pipeline on text
Observed, not estimated
841ms average. Fast in production.
MonkeyLearn is checked daily against the live service.
- Fastest day
- 641ms
- Slowest day
- 1071ms
- 14-day trend
- Slowing+8%
Connect your client
One URL. Every client.
Activate the Connector, copy your link, and paste it into the client you already use. 3 capabilities arrive ready to run.
Preview access · not provider authentication
The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of MonkeyLearn, so you can see the experience inside your AI.
It does not authenticate your account with MonkeyLearn. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.
MonkeyLearn Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_hyDDEZ4vXmuIKhDYNNvrmR8MIwEJKQ8m0bZeKHs6/mcpClaude Desktop
Follow the steps below to connect in seconds.
- 1In Claude Desktop, open Settings → Connectors.
- 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
- 3Click Add and start a new chat — MonkeyLearn capabilities are ready to use.
{
"mcpServers": {
"monkeylearn-alternative-1-mcp": {
"url": "https://edge.vinkius.com/vk_preview_hyDDEZ4vXmuIKhDYNNvrmR8MIwEJKQ8m0bZeKHs6/mcp"
}
}
}
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Step-by-step instructions for each client are in the guide. How to connect
FAQ
Questions MonkeyLearn owners ask.
- 01
Can I classify multiple pieces of text in a single request?
Yes. The classify_text capability accepts an array of strings in the texts parameter, allowing you to process multiple entries simultaneously for better efficiency.
- 02
How do I extract specific entities like keywords or names?
Use the extract_data capability with a specific Extractor Model ID. It will parse your text and return the structured entities found based on that model's configuration.
- 03
Can I run a sequence of different NLP models at once?
Yes, by using the run_pipeline capability. Pipelines in MonkeyLearn allow you to chain classifiers and extractors together into a single workflow identified by a Pipeline ID.
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