eluc1a

news-mcp MCP server

Community eluc1a
Updated

news-mcp MCP server

mcp news server

Components

Resources

The server exposes news articles stored in a database via a resource URI:

  • news://{category}/{limit}: Retrieves a list of the latest articles for a given category.
    • {category}: Filters articles by category (e.g., tech, data_science, news). See tool description for full list.
    • {limit} (optional, default 10): Specifies the maximum number of articles to return.
  • Each returned article includes title, link, published date, and source.

Prompts

The server currently does not expose any prompts. (The summarization logic exists internally but is not available via an MCP prompt).

Tools

The server implements one tool:

  • summarize_news: Retrieves raw news articles from the database, allowing the client (LLM) to summarize them.
    • Takes optional category (string) and limit (integer, default 20) arguments.
    • Returns a list of article dictionaries, each containing id, title, link, published, source, and content.
    • Available categories: tech, data_science, llm_tools, cybersecurity, linux, audio_dsp, startups, news, science, research, policy.

Configuration

The server relies on a PostgreSQL database configured via the DATABASE_URL environment variable (defaults to postgresql://localhost/mcp_news).

The news_gatherer.py script (intended to be run separately/scheduled) populates the database from various RSS feeds.

Summarization logic (internal, not exposed via MCP) uses the OpenAI API, configured via the OPENAI_API_KEY environment variable.

Other configurations (via environment variables or defaults):

  • LOOKBACK_HOURS: How far back news_gatherer.py looks for new articles (default: 6).
  • SUMMARY_WORD_TARGET: Target word count for internal summarization (default: 500).
  • MAX_ARTICLES_PER_SUMMARY: Maximum articles included in one summary batch (default: 25).
  • KEYWORD_FILTER: Keywords used by internal summarization logic.

Quickstart

Install

Claude Desktop

On MacOS: ~/Library/Application\ Support/Claude/claude_desktop_config.jsonOn Windows: %APPDATA%/Claude/claude_desktop_config.json

Development/Unpublished Servers Configuration ``` "mcpServers": { "news-mcp": { "command": "uv", "args": [ "--directory", "~/dev/news-mcp", "run", "news-mcp" ] } } ``` Published Servers Configuration ``` "mcpServers": { "news-mcp": { "command": "uvx", "args": [ "news-mcp" ] } } ```

Development

Building and Publishing

To prepare the package for distribution:

  1. Sync dependencies and update lockfile:
uv sync
  1. Build package distributions:
uv build

This will create source and wheel distributions in the dist/ directory.

  1. Publish to PyPI:
uv publish

Note: You'll need to set PyPI credentials via environment variables or command flags:

  • Token: --token or UV_PUBLISH_TOKEN
  • Or username/password: --username/UV_PUBLISH_USERNAME and --password/UV_PUBLISH_PASSWORD

Debugging

Since MCP servers run over stdio, debugging can be challenging. For the best debuggingexperience, we strongly recommend using the MCP Inspector.

You can launch the MCP Inspector via npm with this command:

npx @modelcontextprotocol/inspector uv --directory ~/dev/news-mcp run news-mcp 

Upon launching, the Inspector will display a URL that you can access in your browser to begin debugging.

MCP Server · Populars

MCP Server · New

    egebese

    SEO Research MCP

    A free SEO research tool using Model Context Protocol (MCP) powered by Ahrefs data. Get backlink analysis, keyword research, traffic estimation, and more — directly in your AI-powered IDE.

    Community egebese
    amirsina-mandegari

    GitLab MR MCP

    mcp server for gitlab to get reviews on you merge requests

    Community amirsina-mandegari
    txn2

    kubefwd (Kube Forward)

    Bulk port forwarding Kubernetes services for local development.

    Community txn2
    Anandb71

    Arbor

    The Graph-Native Intelligence Layer for Code.

    Community Anandb71
    VetCoders

    MCP Server Semgrep

    MCP Server Semgrep is a [Model Context Protocol](https://modelcontextprotocol.io) compliant server that integrates the powerful Semgrep static analysis tool with AI assistants like Anthropic Claude. It enables advanced code analysis, security vulnerability detection, and code quality improvements directly through a conversational interface.

    Community VetCoders