mcp-sentiment-analysis

evteevakb/mcp-sentiment-analysis

3.1

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A Model Context Protocol (MCP) server that provides sentiment analysis capabilities using the TextBlob library.

MCP Sentiment Analysis

A Model Context Protocol (MCP) server that provides sentiment analysis capabilities using the TextBlob library. This server offers a way to analyze the emotional tone of text, returning polarity (positive/negative) and subjectivity (objective/subjective) scores.

Setup

  1. Clone the repository:

    git clone https://github.com/evteevakb/mcp-sentiment-analysis.git
cd mcp-sentiment-analysis

  2. Create a virtual environment:

    uv venv

  3. Activate the virtual environment:

    # On Linux/macOS
source venv/bin/activate

# On Windows
venv\Scripts\activate

  4. Install dependencies:

    uv sync

Usage

Start the sentiment analysis server:

uv run python server/app.py

Once running, you can:

  • Open your browser to http://localhost:7860 to use the web interface
  • Connect MCP-compatible applications to analyze text sentiment

Sentiment Analysis Interface