A basic server using the Model Context Protocol, around text sentiment
Overview
what is basic-sentiment-mcp-server?
The basic-sentiment-mcp-server is a server application that utilizes the Model Context Protocol (MCP) to analyze text sentiment, providing insights into the emotional tone of the text.
how to use basic-sentiment-mcp-server?
To use the server, ensure you have the prerequisites installed, including Python 3.10 or higher and Node.js. After setting up, install the necessary dependencies and run the server using the provided commands in the project directory.
key features of basic-sentiment-mcp-server?
- Utilizes the Model Context Protocol for sentiment analysis.
- Easy setup with clear installation instructions.
- Integration with MCP Inspector for real-time analysis.
use cases of basic-sentiment-mcp-server?
- Analyzing customer feedback to gauge sentiment.
- Monitoring social media posts for public sentiment.
- Enhancing applications with sentiment analysis capabilities.
FAQ from basic-sentiment-mcp-server?
- What platforms is the server tested on?
The server setup is primarily tested on macOS.
- Do I need to install any specific versions of Python or Node.js?
Yes, Python 3.10 or higher and Node.js version 22 (LTS) are required.
- How can I view the sentiment analysis results?
You can view the results through the MCP Inspector utility after running the server.