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Basic Sentiment MCP Server

An MCP server project based on Python for basic sentiment analysis, supporting debugging and testing through MCP Inspector.
2 points
9

What is the Basic Sentiment MCP Server?

This is a sentiment analysis service based on the Model Context Protocol (MCP), allowing developers to interact with the sentiment analysis model through a standardized protocol without worrying about the underlying implementation details.

How to use the Basic Sentiment MCP Server?

You can connect to and use the service through a simple command-line tool or the MCP Inspector interface, supporting multiple transmission methods such as STDIO.

Applicable Scenarios

Suitable for application development that requires rapid integration of sentiment analysis functions, such as social media monitoring and customer feedback analysis scenarios.

Main Features

Standardized Protocol SupportFully compatible with the Model Context Protocol (MCP) standard, ensuring interoperability with other MCP services.
Simple DeploymentYou can complete the environment configuration and service startup with just a few commands.
Visual DebuggingProvides the MCP Inspector tool to facilitate developers in debugging and testing the service.

Advantages and Limitations

Advantages
Based on a standardized protocol, easy to integrate
Simple and fast development environment configuration
Provides a visual debugging tool
Limitations
Currently only tested and supported on the macOS system
Requires pre-installation of multiple dependency tools

How to Use

Install Necessary Tools
First, you need to install tools such as Homebrew, Python 3.10+, uv, and npx.
Install Project Dependencies
Run the dependency installation command in the project root directory.
Start the Server
Use the uv command to start the MCP server.
Connect to MCP Inspector
Open a browser to access MCP Inspector, select the STDIO transmission type, and connect.

Usage Examples

Sentiment Analysis API IntegrationIntegrate the sentiment analysis function into the customer feedback system.
Social Media MonitoringAnalyze user emotions on social media in real-time.

Frequently Asked Questions

Which operating systems does this service support?
How to verify the successful installation?
What should I do if the connection to MCP Inspector fails?

Related Resources

Official MCP Protocol Documentation
Complete technical documentation for the Model Context Protocol
uv Package Manager
A high-performance Python package management tool
nvm Version Manager
A Node.js version management tool
Installation
Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.
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