make-a-simple-mcp-server

What is make-a-simple-mcp-server?

make-a-simple-mcp-server is a local intelligent public opinion analysis system that combines natural language processing with multi-tool orchestration. It automatically understands user intents, retrieves news, performs sentiment analysis, produces structured output, and sends email summaries.

How to use make-a-simple-mcp-server?

Configure a .env file with API keys from Alibaba Bailian platform, Serper API key, and SMTP credentials. Run python client.py in the project root directory. Type queries and enter quit to end the session.

Key features of make-a-simple-mcp-server

• Automatic understanding of user query intent
• News retrieval via Serper API
• Sentiment analysis of retrieved content
• Structured output (JSON, Markdown)
• Email push of analysis results
• Conversational interface (CLI-based)

Use cases of make-a-simple-mcp-server

• Monitor public sentiment on a brand or topic in real time
• Automate daily news digest with emotional tone analysis
• Generate structured reports from natural language queries
• Integrate local NLP pipeline with external search and email services

FAQ from make-a-simple-mcp-server

What runtime environment is required?

Python 3.12 and the dependencies listed in the project. Install missing packages as needed.

What external APIs are needed?

You need an Alibaba Bailian platform API key (set as DASHSCOPE_API_KEY) and a Serper API key (SERPER_API_KEY). An SMTP server and credentials are required for email pushing.

How do I configure the server?

Create a .env file in the project root with the keys shown in the README, including base URL, model name, API keys, and SMTP settings.

How do I stop the server?

Enter quit in the CLI to end the conversation and exit the client.

Does this server support multiple transports or authentication beyond the API keys?

The README only describes a local CLI client (client.py) and does not mention additional transports or authentication methods.