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Vinkius

DeepOpinion (No-code NLP & Text AI API) Connector for AI agents.

3 live capabilities

Analyze customer feedback and sentiment with custom NLP models.

Live agent request DeepOpinion (No-code NLP & Text AI API) / Connector

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AI Agent

Why people use DeepOpinion (No-code NLP & Text AI API)

DeepOpinion NLP for Automated Sentiment Analysis

With this Connector, you just give your agent a list of text and tell it to run your DeepOpinion models. The agent handles the requests, pulls the sentiment scores, and organizes the results into a clean summary. You go from manual data entry to getting a full report in seconds.

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

What Vinkius changes

You get instant access to custom NLP models through a simple conversation.

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

One account · 5,900+ Connectors

  1. Real-world use case 01

    Summarizing App Store reviews

    A product manager asks the agent to use a sentiment model to tell them if the latest update was well received by users.

  2. Real-world use case 02

    Sorting support tickets

    A support lead has the agent categorize a list of new tickets into 'Billing', 'Technical', or 'General' using a classification model.

  3. Real-world use case 03

    Validating model performance

    A data scientist asks the agent to run a batch prediction on a new dataset to see if the model handles the new data format correctly.

Complete set · 3capabilities

The complete DeepOpinion (No-code NLP & Text AI API) capability set.

These are the exact actions your AI can choose when you ask it to work with DeepOpinion (No-code NLP & Text AI API).

Capability set01 / 01

01—03

3 capabilities in this set.

Part of 3 available through DeepOpinion (No-code NLP & Text AI API).

  1. 01 Capability

    Predict batch

    Run predictions on multiple text strings at the same time. This is the best way to handle large datasets or bulk feedback.

  2. 02 Capability

    Predict

    Run a single prediction using a specific model ID. Use this for quick checks on individual comments or messages.

  3. 03 Capability

    List models

    See every custom NLP model in your DeepOpinion account. It helps you find the right ID for your specific analysis task.

Set up in minutes

One URL. Then ask DeepOpinion (No-code NLP & Text AI API) to work.

Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use DeepOpinion (No-code NLP & Text AI API) 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_mAec2ijG3chSPeLolEquxc6ouGhbJvR4I8y7U67K/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 DeepOpinion (No-code NLP & Text AI API), and paste the URL above.

  3. Step 03

    Turn it on in chat

    Select +, open Connectors, and enable DeepOpinion (No-code NLP & Text AI API) for the conversation.

Where the request belongs

Work DeepOpinion can move forward.

Built around the request

This is for the product manager tired of manual tagging, the data scientist who wants to test models without boilerplate, and the support lead needing to sort tickets at scale.

01

Product Manager

Uses the agent to summarize the mood of 500 App Store reviews in seconds rather than reading them one by one.

02

Data Scientist

Tests how a new NLP model performs on live data by asking the agent to run a batch prediction on a CSV.

03

Customer Success Lead

Automates the sorting of incoming support tickets into categories like 'Billing' or 'Technical' using a classification model.

04

Content Strategist

Analyzes the sentiment of social media mentions to gauge the impact of a new product launch.

Build the capability set

Add more capabilities.

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

Browse Connectors
MonkeyLearn logo
01 3 capabilities

MonkeyLearn

Automate text analysis via MonkeyLearn. classify sentiment, extract keywords, and run custom NLP pipelines directly from any AI agent.

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Deep Talk logo
02 5 capabilities

Deep Talk

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

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MeaningCloud logo
03 6 capabilities

MeaningCloud

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

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Metatext logo
04 10 capabilities

Metatext

No-code NLP and AI model management via Metatext. run inference and manage datasets.

View Connector
AI21 Studio logo
05 1 capability

AI21 Studio

Unlock AI21's Jamba models and language capabilities for summarizing, paraphrasing, and grammar correction natively.

View Connector
NLP Cloud logo
06 6 capabilities

NLP Cloud

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

View Connector

Bring your own AI

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

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Before you connect

Questions about DeepOpinion.

The practical details behind the request, access and result.

Can I use DeepOpinion MCP for sentiment analysis?

Yes, it's a great way to run sentiment analysis. You can ask your agent to use your specific models to tell you how customers feel about your product.

How do I run text analysis on a large file?

You can use the batch processing feature. Just give your agent the list of text, and it'll run your DeepOpinion models on the whole group at once.

Do I need to write code to use DeepOpinion with my AI agent?

No code is required. Once you connect the Connector and add your API key, you can just use natural language to tell your agent to run your models.

Can this help me sort my customer support tickets?

Absolutely. You can use the classification models to automatically group tickets into categories like 'Billing' or 'Technical Support' through your agent.

Is DeepOpinion MCP good for high-volume data?

It's built for it. The batch processing capability is specifically designed to handle large arrays of text for efficient, large-scale analysis.

How do I see which NLP models I can use?

You can just ask your agent to list your available models. It'll pull the list directly from your account so you can pick the right one for the task.

How can I see which NLP models are available in my account?

You can use the list_models capability. Your AI agent will retrieve a complete list of all custom models you have trained or have access to in DeepOpinion.

Can I process multiple sentences at once to save time?

Yes! Use the predict_batch capability. It allows you to send an array of text strings to a specific model_id, making it perfect for analyzing large datasets quickly.

What information do I need to run a prediction?

To use the predict capability, you need the model_id (which you can find using list_models) and the text you want to analyze.

One connection away

Give your agent a direct line to DeepOpinion.

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

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