Sentor

Name: Sentor
Author: NIKX-Tech

@NIKX-Tech

About Sentor

Stop guessing why ratings drop. Give your AI assistant Sentor and let it analyse thousands of reviews, pinpoint what to fix first, and surface the topics that matter most.

#sentiment-analysis #nlp #bert #python #ai

Basic information

Config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "sentor": {
      "command": "uvx",
      "args": [
        "sentor-mcp"
      ],
      "env": {
        "SENTOR_API_KEY": "<YOUR_API_KEY>"
      }
    }
  }
}

Tools

No tools detected

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is Sentor?

Sentor is an entity-based sentiment analysis platform powered by fine-tuned BERT models. This MCP server exposes Sentor’s ML APIs as tools that AI assistants can call directly for sentiment scoring, topic clustering, and label generation.

How to use Sentor?

Install using uvx sentor-mcp — no server to run, no infrastructure needed. Obtain a free API key at dashboard.sentor.app and configure the server to use it.

Key features of Sentor

Score sentiment toward specific entities (brands, products, features)
Automatically cluster documents into topics
Generate descriptive topic labels using an LLM
Run full analysis pipelines from a single prompt

Use cases of Sentor

Analyze customer reviews for sentiment toward checkout flow and delivery speed
Cluster large sets of product feedback into actionable topics
Monitor brand sentiment across social media or support tickets

FAQ from Sentor

What does Sentor do that a general sentiment API doesn’t?

Sentor performs entity-based sentiment analysis: it scores sentiment toward specific entities (e.g., a brand or feature) rather than providing an overall document sentiment.

What are the runtime requirements for Sentor?

No server to run or infrastructure to manage. Install via uvx sentor-mcp and provide an API key.

Where does Sentor’s data live?

Sentor processes text through its cloud-based ML APIs. Documents and results are handled on Sentor’s servers per their data policy (not detailed further in this README).

What transport does Sentor use?

The MCP server communicates with Sentor’s APIs over standard HTTP (not specified in README beyond API key usage; typical MCP transport is stdio or HTTP).