CursorIDE

MonkeyLearn MCP Server

Bring Text Classification
to Cursor

Name: MonkeyLearn MCP Server
Price: 29 USD
Availability: InStock
Rating: 5.0 (1 reviews)
Author: Vinkius

Learn how to connect MonkeyLearn to Cursor and start using 12 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.

GDPR Free for Subscribers

Classify TextExtract Text EntitiesGet Api StatusGet Classifier DetailsGet Extractor DetailsList Classifier TagsList ClassifiersList Extractor TagsList ExtractorsList Model VersionsList Nlp WorkflowsRun Workflow

Unlock for AI Agents

Ask AI about this MCP Server ChatGPT Claude Perplexity

Compatible with every major AI agent and IDE

Claude

ChatGPT

Cursor

Gemini

Windsurf

VS Code

JetBrains

Vercel

+ other MCP clients

What is the MonkeyLearn MCP Server?

Connect your MonkeyLearn account to any AI agent and run NLP text analysis through natural conversation.

What you can do

Text Classification — Classify text by sentiment, topic, intent, or custom labels
Entity Extraction — Pull structured data like names, keywords, and addresses from text
NLP Workflows — Run multi-step Studio workflows for complex pipelines
Model Management — List classifiers, extractors, model versions, and tags
Account Status — Verify API connectivity

How it works

Subscribe to this server
Enter your MonkeyLearn API Key
Start analyzing text from Claude, Cursor, or any MCP-compatible client

Who is this for?

Data Scientists — run NLP models without writing code
Product Teams — classify user feedback and support tickets
Marketers — extract insights from survey responses and reviews

Built-in capabilities (12)

classify_text

Classify text data

extract_text_entities

Extract entities

get_api_status

Get account status

get_classifier_details

Get classifier info

get_extractor_details

Get extractor info

list_classifier_tags

List model tags

list_classifiers

List text classifiers

list_extractor_tags

List extractor tags

list_extractors

List text extractors

list_model_versions

List model versions

list_nlp_workflows

List account workflows

run_workflow

Run NLP workflow

Why Cursor?

Cursor's Agent mode turns MonkeyLearn into an in-editor superpower. Ask Cursor to generate code using live data from MonkeyLearn and it fetches, processes, and writes. all in a single agentic loop. 12 tools appear alongside file editing and terminal access, creating a unified development environment grounded in real-time information.

—
Agent mode turns Cursor into an autonomous coding assistant that can read files, run commands, and call MCP tools without switching context
—
Cursor's Composer feature can generate entire files using real-time data fetched through MCP. no copy-pasting from external dashboards
—
MCP tools appear alongside built-in tools like file reading and terminal access, creating a unified agentic environment
—
VS Code extension compatibility means your existing workflow, keybindings, and extensions all work alongside MCP tools

See it in action

MonkeyLearn in Cursor

AI Agent→Vinkius

High Security·Kill Switch·Plug and Play

Why Vinkius

MonkeyLearn and 4,000+ other MCP servers. One platform. One governance layer.

Teams that connect MonkeyLearn to Cursor through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.

4,000+MCP Servers ready

<40msCold start

60%Token savings

	Raw MCP	Vinkius
Server catalog	Find and host yourself	4,000+ managed
Infrastructure	Self-hosted	Sandboxed V8 isolates
Credential handling	Plaintext in config	Vault + runtime injection
Data loss prevention	None	Configurable DLP policies
Kill switch	None	Global instant shutdown
Financial circuit breakers	None	Per-server limits + alerts
Audit trail	None	Ed25519 signed logs
SIEM log streaming	None	Splunk, Datadog, Webhook
Honeytokens	None	Canary alerts on leak
Custom domains	Not applicable	DNS challenge verified
GDPR compliance	Manual effort	Automated purge + export

Unlock for AI Agents View step-by-step setup guide for Cursor →

Enterprise Security

Why teams choose Vinkius for MonkeyLearn in Cursor

The MonkeyLearn 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. All 12 tools execute in hardened sandboxes optimized for native MCP execution.

Your AI agents in Cursor only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.

Unlock for AI Agents View full MonkeyLearn details →

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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

The Vinkius Advantage

How Vinkius secures
MonkeyLearn for Cursor

Every tool call from Cursor to the MonkeyLearn MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.

< 40msCold start

Ed25519Signed audit chain

60%Token savings

FAQ

Frequently asked questions

Can I classify text by sentiment or topic?

Yes. Point to any classifier model ID and pass text to get classification results with confidence scores.

How does MonkeyLearn authentication work?

MonkeyLearn uses Authorization: Token {API_KEY} header against api.monkeylearn.com/v3.

Can I extract named entities from text?

Yes. Use an extractor model to pull keywords, people names, organizations, locations, and more from raw text.

What is Agent mode and why does it matter for MCP?

Agent mode is Cursor's autonomous execution mode where the AI can perform multi-step tasks: reading files, editing code, running terminal commands, and calling MCP tools. Without Agent mode, Cursor operates in a simpler ask-and-answer mode that doesn't support tool calling. Always ensure you're in Agent mode when working with MCP servers.

Where does Cursor store MCP configuration?

Cursor looks for MCP server configurations in a mcp.json file. You can configure servers at the project level (.cursor/mcp.json in your project root) or globally (~/.cursor/mcp.json). Project-level configs take precedence.

Can Cursor use MCP tools in inline edits?

No. MCP tools are only available in Agent mode through the chat panel. Inline completions and Tab suggestions do not trigger MCP tool calls. This is by design. tool calls require user visibility and approval.

How do I verify MCP tools are loaded?

Open Settings → Features → MCP and look for your server name. A green indicator means the server is connected. You can also check Agent mode's available tools by clicking the tools dropdown in the chat panel.

Tools not appearing in Cursor

Ensure you are in Agent mode (not Ask mode). MCP tools only work in Agent mode.

Server shows as disconnected

Check Settings → Features → MCP and verify the server status. Try clicking the refresh button.

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