GenAI News Assistant MCP Server

Name: GenAI News Assistant MCP Server
Author: uriyahav

@uriyahav

Repository

About GenAI News Assistant MCP Server

No overview available yet

Basic information

Config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "MCP_SSE_Server": {
      "command": "docker",
      "args": [
        "build",
        "-t",
        "news-assistant-python",
        "."
      ]
    }
  }
}

Tools

No tools detected

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is GenAI News Assistant MCP Server?

It is a Model Context Protocol (MCP) server template that provides tools for fetching and analyzing news information using NewsAPI.org and a Large Language Model. It is intended for developers building AI assistants that need to search and understand recent news.

How to use GenAI News Assistant MCP Server?

Set up by cloning the repository, obtaining API keys for NewsAPI.org and an LLM, then build and run the Docker container for either the Python or TypeScript implementation. The server exposes MCP tools for news search and analysis and can be tested locally using the MCP Inspector.

Key features of GenAI News Assistant MCP Server

Fetches news via NewsAPI.org
Analyzes articles using an LLM
Extracts structured information and sentiment
Implements three MCP tools: search, extract info, extract key info/sentiment
Available in both Python and TypeScript
Runs inside Docker for easy deployment

Use cases of GenAI News Assistant MCP Server

Monitor news articles for specific topics or queries
Extract key entities and sentiment from news articles
Automate news summarization and analysis in AI workflows

FAQ from GenAI News Assistant MCP Server

What API keys are required?

You need a NewsAPI.org API key and an LLM API key, set as environment variables NEWS_API_KEY and LLM_API_KEY.

How do I run the server?

Build the Docker image for your chosen implementation (Python or TypeScript) and run the container, passing the API keys as environment variables.

What MCP tools does it provide?

Three tools: search_news (search for recent articles), extract_information_from_article (extract structured info from an article), and extract_key_info_and_sentiment (analyze key entities and sentiment).

What are the runtime requirements?

Docker is required; no direct dependency on Python or Node.js if using Docker. The server listens on port 3000 by default.

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