MonkeyLearn MCP Server for Windsurf 10 tools — connect in under 2 minutes
Windsurf brings agentic AI coding to a purpose-built IDE. Connect MonkeyLearn through Vinkius and Cascade will auto-discover every tool. ask questions, generate code, and act on live data without leaving your editor.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
Vinkius Desktop App
The modern way to manage MCP Servers — no config files, no terminal commands. Install MonkeyLearn and 2,500+ MCP Servers from a single visual interface.
{
"mcpServers": {
"monkeylearn": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
}
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About MonkeyLearn MCP Server
Connect your MonkeyLearn account to your AI agent and leverage powerful NLP models for text analysis and data extraction through natural conversation.
Windsurf's Cascade agent chains multiple MonkeyLearn tool calls autonomously. query data, analyze results, and generate code in a single agentic session. Paste Vinkius Edge URL, reload, and all 10 tools are immediately available. Real-time tool feedback appears inline, so you see API responses directly in your editor.
What you can do
- Text Classification — Use pre-trained or custom classifiers for sentiment analysis, topic detection, and intent classification.
- Data Extraction — Automatically pull keywords, entities, and specific data points from raw text strings.
- Model Discovery — List and inspect all classifiers, extractors, and pipelines available in your account.
- Workflow Tracking — Monitor your automated workflows and processing activity in real-time.
- Tag Hierarchy — Access the tag trees used by your models to understand classification structures.
- Deep Inspection — Fetch detailed configuration and metadata for specific models using their unique IDs.
The MonkeyLearn MCP Server exposes 10 tools through the Vinkius. Connect it to Windsurf in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect MonkeyLearn to Windsurf via MCP
Follow these steps to integrate the MonkeyLearn MCP Server with Windsurf.
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
Add the server
Paste the JSON configuration above into mcp_config.json
Save and reload
Windsurf will detect the new server automatically
Start using MonkeyLearn
Open Cascade and ask: "Using MonkeyLearn, help me...". 10 tools available
Why Use Windsurf with the MonkeyLearn MCP Server
Windsurf provides unique advantages when paired with MonkeyLearn through the Model Context Protocol.
Windsurf's Cascade agent autonomously chains multiple tool calls in sequence, solving complex multi-step tasks without manual intervention
Purpose-built for agentic workflows. Cascade understands context across your entire codebase and integrates MCP tools natively
JSON-based configuration means zero code changes: paste a URL, reload, and all 10 tools are immediately available
Real-time tool feedback is displayed inline, so you see API responses directly in your editor without switching contexts
MonkeyLearn + Windsurf Use Cases
Practical scenarios where Windsurf combined with the MonkeyLearn MCP Server delivers measurable value.
Automated code generation: ask Cascade to fetch data from MonkeyLearn and generate models, types, or handlers based on real API responses
Live debugging: query MonkeyLearn tools mid-session to inspect production data while debugging without leaving the editor
Documentation generation: pull schema information from MonkeyLearn and have Cascade generate comprehensive API docs automatically
Rapid prototyping: combine MonkeyLearn data with Cascade's code generation to scaffold entire features in minutes
MonkeyLearn MCP Tools for Windsurf (10)
These 10 tools become available when you connect MonkeyLearn to Windsurf via MCP:
classify_text
Classify text using a model
extract_text
Extract data from text
get_classifier_details
Get classifier metadata
get_extractor_details
Get extractor metadata
list_activity
List account activity
list_classifiers
g., sentiment analysis, topic detection) available in your account. List available classifiers
list_extractors
g., keyword extraction, entity recognition) available in your account. List available extractors
list_pipelines
List MonkeyLearn pipelines
list_tag_trees
List available tag trees
list_workflows
List automated workflows
Example Prompts for MonkeyLearn in Windsurf
Ready-to-use prompts you can give your Windsurf agent to start working with MonkeyLearn immediately.
"Classify the sentiment of this review: 'The product exceeded all my expectations, truly amazing!' using model cl_oZ9GRg8P."
"List all classifiers available in my account."
"Show me my recent processing activity."
Troubleshooting MonkeyLearn MCP Server with Windsurf
Common issues when connecting MonkeyLearn to Windsurf through the Vinkius, and how to resolve them.
Server not connecting
MonkeyLearn + Windsurf FAQ
Common questions about integrating MonkeyLearn MCP Server with Windsurf.
How does Windsurf discover MCP tools?
mcp_config.json file on startup and connects to each configured server via Streamable HTTP. Tools are listed in the MCP panel and available to Cascade automatically.Can Cascade chain multiple MCP tool calls?
Does Windsurf support multiple MCP servers?
mcp_config.json. Each server's tools appear in the MCP panel and Cascade can use tools from different servers in a single flow.Connect MonkeyLearn with your favorite client
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Connect MonkeyLearn to Windsurf
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.