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Vinkius

MonkeyLearn Connector for AI agents.

12 live capabilities

Run sentiment analysis and entity extraction on your text data.

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AI Agent

Why people use MonkeyLearn

MonkeyLearn NLP for Automated Sentiment Analysis

This Connector changes the game by letting you just ask your agent to do the tagging for you. It connects your MonkeyLearn models to your chat, so you can process hundreds of reviews in seconds and get a clear picture of what's happening.

  • Claude
  • ChatGPT
  • Gemini
  • Cursor
  • Visual Studio Code
  • Windsurf

What Vinkius changes

You get to run professional NLP models using simple natural language commands.

Use it from Claude, ChatGPT, Cursor or another AI client you already have.

One account · 5,900+ Connectors

  1. Real-world use case 01

    Sentiment Analysis

    A product manager asks the agent to find all negative reviews from last week and summarize the main complaints.

  2. Real-world use case 02

    Lead Extraction

    A sales rep wants to pull names and company names out of a list of raw outreach notes to create a CRM list.

  3. Real-world use case 03

    Ticket Routing

    A support lead asks the agent to classify incoming emails by intent so the team knows which tickets need immediate attention.

Complete set · 12capabilities

The complete MonkeyLearn capability set.

These are the exact actions your AI can choose when you ask it to work with MonkeyLearn.

Capability set01 / 03

01—04

4 capabilities in this set.

Part of 12 available through MonkeyLearn.

  1. 01 Capability

    List classifier tags

    See all the tags your models use for categorization. This helps you understand how your data is currently being organized.

  2. 02 Capability

    List classifiers

    Get a full list of your available text classifiers. You can quickly see which models are ready to use for your next task.

  3. 03 Capability

    List extractor tags

    View the labels used by your text extractors. This is useful for knowing what specific data points your models can pull out.

  4. 04 Capability

    List extractors

    See all the entity extraction models in your account. It lets you know which capabilities are available for pulling out names or dates.

Capability set02 / 03

05—08

4 capabilities in this set.

Part of 12 available through MonkeyLearn.

  1. 05 Capability

    List model versions

    Check which versions of your models are currently active. This helps you ensure you aren't using outdated logic for your analysis.

  2. 06 Capability

    List nlp workflows

    See all the multi-step workflows you've built. You can quickly identify which complex pipelines are available to run.

  3. 07 Capability

    Run workflow

    Execute a specific multi-step NLP pipeline. This is the best way to handle complex, multi-stage text processing in one go.

  4. 08 Capability

    Classify text

    Send text to a model to get a sentiment or category tag. It's the fastest way to organize large amounts of unstructured feedback.

Capability set03 / 03

09—12

4 capabilities in this set.

Part of 12 available through MonkeyLearn.

  1. 09 Capability

    Extract text entities

    Pull structured data like names, dates, and locations from a block of text. It turns messy paragraphs into clean, usable data points.

  2. 10 Capability

    Get api status

    Check if your connection to MonkeyLearn is active. Use this to quickly troubleshoot any issues with your integration.

  3. 11 Capability

    Get classifier details

    Get deep info on a specific text classifier. This is helpful when you need to know the exact specs of a model you're using.

  4. 12 Capability

    Get extractor details

    Get deep info on a specific text extractor. Use this to see the specific details of how your entity extraction is set up.

Set up in minutes

One URL. Then ask MonkeyLearn to work.

Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use MonkeyLearn from the conversation.

Choose your client

Live preview
Advanced clients IDE · CLI

Claude · Web + desktop

Official guide ↗

Connector URL · ready to paste

Streamable HTTP
https://edge.vinkius.com/vk_preview_cjNrQPTPb2dGyXsgNWrkuHpvGkEq1lXSllJz11sl/mcp
  1. Step 01

    Open Connectors

    In Claude Web or Claude Desktop, open Settings and choose Connectors.

  2. Step 02

    Add the URL

    Choose Add custom connector, name it MonkeyLearn, and paste the URL above.

  3. Step 03

    Turn it on in chat

    Select +, open Connectors, and enable MonkeyLearn for the conversation.

Where the request belongs

Work MonkeyLearn can move forward.

Built around the request

The data scientist who's tired of writing boilerplate code for every new text project, the product manager buried in hundreds of feedback tickets, and the marketing analyst who needs to find specific trends in survey data without manual sorting.

01

Data Scientist

Runs NLP models on large datasets without having to write and maintain custom Python scripts for every task.

02

Product Manager

Analyzes thousands of user reviews to identify common pain points and sentiment trends in real time.

03

Marketing Analyst

Extracts key entities and keywords from survey responses to build cleaner, structured lead lists.

Build the capability set

Add more capabilities.

Each Connector adds new actions and data without changing how you work.

Browse Connectors
MonkeyLearn logo
01 12 capabilities

MonkeyLearn

Analyze text data with custom machine learning models that classify sentiment, extract keywords, and tag topics automatically.

View Connector
TextRazor logo
02 11 capabilities

TextRazor

Advanced Natural Language Processing (NLP) to extract entities, topics, and relations from text or URLs.

View Connector
MeaningCloud logo
03 6 capabilities

MeaningCloud

Advanced text analytics for sentiment analysis, topic extraction, language detection, and automatic summarization.

View Connector
NLP Cloud logo
04 6 capabilities

NLP Cloud

High-performance NLP API for text summarization, entity extraction, classification, sentiment analysis, ASR, and translation.

View Connector
Deep Talk logo
05 5 capabilities

Deep Talk

Equip your AI agent to analyze conversation datasets, extract topics, and monitor sentiment via the Deep Talk API.

View Connector
Deterministic Text Summarizer & Extractor logo
06 3 capabilities

Deterministic Text Summarizer & Extractor

Equip your AI with pure Term Frequency (TF) text analysis. Deterministically extract keywords, bigrams, and generate extractive summaries without external API calls.

View Connector

Bring your own AI

Change the model, client or framework. Keep MonkeyLearn connected.

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Before you connect

Questions about MonkeyLearn.

The practical details behind the request, access and result.

Does MonkeyLearn MCP help with sentiment analysis?

Yes, it lets your agent use your MonkeyLearn models to instantly tag text as positive, negative, or neutral.

Can I use MonkeyLearn MCP to extract names from text?

Yes, you can use the entity extraction capabilities to pull out specific details like names, dates, and locations from messy notes.

How does MonkeyLearn MCP connect to my existing account?

It uses your MonkeyLearn API key to give your agent direct access to your custom models and workflows.

Can MonkeyLearn MCP handle multi-step NLP tasks?

Yes, it can trigger complex workflows that perform multiple operations on a piece of text in one go.

Is MonkeyLearn MCP good for marketing research?

It's great for marketers who need to quickly pull keywords or common themes out of large sets of survey responses.

Can I see my models using MonkeyLearn MCP?

Yes, your agent can list all your classifiers, extractors, and model versions so you know what's available.

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.

One connection away

Give your agent a direct line to MonkeyLearn.

Connect MonkeyLearn once. Keep it beside 5,900+ managed Connectors when the next task needs more.

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