sentiment-analyzer
It analyzes developer sentiment.
Install
Install and configure the MCP from https://github.com/DON-VXNKS/mcp-sentiment-analyzer now. Follow the repository's installation instructions, ask me for anything you can't complete yourself, and verify its tools load.README
sentiment-analyzer
MCP server created with MCPize.
Quick Start
npm install
npm run dev # Start with hot reload
Server runs at http://localhost:8080/mcp
Development
npm run dev # Development mode with hot reload
npm run build # Compile TypeScript
npm test # Run tests
npm start # Run compiled server
Project Structure
├── src/
│ ├── index.ts # MCP server entry point
│ └── tools.ts # Pure tool functions (testable)
├── tests/
│ └── tools.test.ts # Tool unit tests
├── package.json # Dependencies and scripts
├── tsconfig.json # TypeScript configuration
├── mcpize.yaml # MCPize deployment manifest
├── Dockerfile # Container build
└── .env.example # Environment variables template
Tools
- hello — Returns a greeting message
- echo — Echoes back the input with a timestamp
Testing
npm test # Run unit tests
npx @anthropic-ai/mcp-inspector # Interactive MCP testing
Connect to http://localhost:8080/mcp to test tools interactively.
Deployment
mcpize deploy
License
MIT
Related servers
Everythingmodelcontextprotocol91KReference / test server with prompts, resources, and toolsFetchmodelcontextprotocol91KWeb content fetching and conversion for efficient LLM usageFilesystemmodelcontextprotocol91KSecure file operations with configurable access controlsGitmodelcontextprotocol91KTools to read, search, and manipulate Git repositories