mcp-goodnews

mcp-goodnews avatar

by nerdai

Community Servers

A simple MCP application that delivers curated positive and uplifting news stories.

What is mcp-goodnews

MCP Goodnews


CodeQL Linting Unit Testing and Upload Coverage codecov Release GitHub License

MCP Goodnews is a simple Model Context Protocol (MCP) application that features a server for getting good, positive, and uplifting news. This tool fetches news articles from the NewsAPI and uses a Cohere LLM to rank and return the top news articles based on positive sentiment.

Read the blog post on Medium!

Motivation

In a world where negative news often dominates headlines, Goodnews MCP aims to shine a light on more positive and uplifting news stories. This project was inspired by an earlier initiative called GoodnewsFirst, which delivered positive news daily to email subscribers โ€” it was a really awesome project! While GoodnewsFirst predated recent breakthroughs in Large Language Models (LLMs) and relied on traditional methods for sentiment ranking, Goodnews MCP leverages modern LLMs to perform sentiment analysis in a zero-shot setting.

Example Usage: MCP Goodnews with Claude Desktop

Requirements

Clone mcp-goodnews

# Clone the repository
git clone https://github.com/VectorInstitute/mcp-goodnews.git

In the next step, we'll need to provide the absolute path to the location of this cloned repository.

Update Claude Desktop Config to find mcp-goodnews

For Mac/Linux

# Navigate to the configuration directory
cd ~/Library/Application\ Support/Claude/config

# Edit the claude_desktop_config.json file
nano claude_desktop_config.json

For Windows

# Navigate to the configuration directory
cd %APPDATA%\Claude\config

# Edit the claude_desktop_config.json file
notepad claude_desktop_config.json

And you'll want to add an entry under mcpServers for Goodnews:

{
  "mcpServers": {
    "Goodnews": {
      "command": "<absolute-path-to-bin>/uv",
      "args": [
        "--directory",
        "<absolute-path-to-cloned-repo>/mcp-goodnews/src/mcp_goodnews",
        "run",
        "server.py"
      ],
      "env": {
        "NEWS_API_KEY": "<newsapi-api-key>",
        "COHERE_API_KEY": "<cohere-api-key>"
      }
    }
  }
}

Start or Restart Claude Desktop

Claude Desktop will use the updated config to build and run the mcp-goodnews server. If successful, you will see the hammer tool in the bottom-right corner of the chat dialogue window.

Clicking the hammer tool icon will bring up a modal that lists available MCP tools. You should see fetch_list_of_goodnews listed there.

Ask Claude for Good News

Example prompts:

  • "Show me some good news from today."
  • "What positive things happened in the world this week?"
  • "Give me uplifting news stories about science."

How It Works

  1. When you request good news, the application queries the NewsAPI for recent articles
  2. The Cohere LLM analyzes the sentiment of each article
  3. Articles are ranked based on positive sentiment score
  4. The top-ranking good news stories are returned to you through Claude

License

Apache 2.0


Stay positive with Goodnews MCP!

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Frequently Asked Questions

What is MCP?

MCP (Model Context Protocol) is an open protocol that standardizes how applications provide context to LLMs. Think of MCP like a USB-C port for AI applications, providing a standardized way to connect AI models to different data sources and tools.

What are MCP Servers?

MCP Servers are lightweight programs that expose specific capabilities through the standardized Model Context Protocol. They act as bridges between LLMs like Claude and various data sources or services, allowing secure access to files, databases, APIs, and other resources.

How do MCP Servers work?

MCP Servers follow a client-server architecture where a host application (like Claude Desktop) connects to multiple servers. Each server provides specific functionality through standardized endpoints and protocols, enabling Claude to access data and perform actions through the standardized protocol.

Are MCP Servers secure?

Yes, MCP Servers are designed with security in mind. They run locally with explicit configuration and permissions, require user approval for actions, and include built-in security features to prevent unauthorized access and ensure data privacy.