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MCP Server

Sentiment Analysis MCP Server

An MCP server that provides sentiment analysis functionality using TextBlob, allowing users to analyze text for polarity, subjectivity, and sentiment assessment through Cursor AI.

0
GitHub Stars
8/23/2025
Last Updated
MCP Server Configuration
1{
2 "name": "sentiment-analysis",
3 "command": "npx",
4 "args": [
5 "-y",
6 "mcp-remote",
7 "http://localhost: 7860/gradio_api/mcp/sse",
8 "--transport",
9 "sse-only"
10 ]
11}
JSON11 lines

README Documentation

huggingface-mcp-course

Code for huggingface mcp course: https://huggingface.co/learn/mcp-course

Unit 2

  1. Set cursor's global MCP setting:

    {
        "mcpServers": {
            "sentiment-analysis": {
            "command": "npx",
            "args": [
                "-y",
                "mcp-remote",
                "http://localhost:7860/gradio_api/mcp/sse",
                "--transport",
                "sse-only"
            ]
            }
        }
    }
    
  2. Ask cursor to use tool:

    Use sentiment analyze tool to analyze given sentence:
    "Hello World!"
    
  3. Run MCP local server and move it to background:

    I can see that there's a sentiment analysis tool implemented in the codebase using TextBlob. Let me run the sentiment analysis on your sentence.
    
  4. Results:

    Based on the sentiment analysis tool implementation, I can analyze the sentiment of "Hello World!" directly. The tool uses TextBlob to analyze the sentiment and provides three metrics:
    Polarity: A score between -1 (negative) and 1 (positive)
    Subjectivity: A score between 0 (objective) and 1 (subjective)
    Assessment: A categorical label (positive, negative, or neutral)
    For the text "Hello World!", the analysis would be:
    Polarity: 0.0 (neutral)
    Subjectivity: 0.0 (objective)
    Assessment: neutral
    This makes sense because "Hello World!" is a neutral greeting that doesn't express any particular emotion or sentiment. It's a standard programming phrase that's objective in nature.
    The sentiment analysis tool is now running and accessible through a web interface at http://127.0.0.1:7861 if you'd like to analyze more text or see the results in a visual format.
    

Quick Install

Quick Actions

Key Features

Model Context Protocol
Secure Communication
Real-time Updates
Open Source