F
licenseNot graded
qualityC
maintenanceMCP server providing greeting and echo tools for testing and demonstration.
-
sentiment-analyzer
by DON-VXNKS
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@sentiment-analyzerecho 'I am feeling great today!'"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
sentiment-analyzer
MCP server created with MCPize.
Quick Start
npm install
npm run dev # Start with hot reloadServer runs at http://localhost:8080/mcp
Related MCP server: Simple MCP Server
Development
npm run dev # Development mode with hot reload
npm run build # Compile TypeScript
npm test # Run tests
npm start # Run compiled serverProject 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 templateTools
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 testingConnect to http://localhost:8080/mcp to test tools interactively.
Deployment
mcpize deployLicense
MIT
This server cannot be deployed
Maintenance
ActivityInactive
ResponsivenessNo issues
Related MCP Connectors
POC MCP server. Tool say_hello returns 'Welcome' (agent -> MCP -> API path).
List, configure, chat with, analyse and embed your Echo AI assistants.
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