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ashtondebug

global-news-intelligence-mcp

by ashtondebug

 🌍 Global News Intelligence MCP A high-performance MCP server delivering structured global news to LLMs. 28 RSS sources · 12 categories · 16 tools · MIT licensed


Why This Exists

LLMs are only as good as their information. This MCP server gives your AI agent real-time access to curated, ranked, and summarized global news β€” with technology and AI coverage prioritized.

It is not a simple RSS reader. Every article passes through a pipeline:

RSS Fetch β†’ Parse β†’ Classify β†’ Rank by Importance β†’ Summarize β†’ JSON Response

Built for XiaoZhi AI but compatible with any MCP client (Claude Desktop, Codex, Continue, Cursor, etc.).


Related MCP server: NewsIQ MCP

Features

  • 16 dedicated MCP tools β€” one per news category, plus headline and summary tools

  • 28 RSS sources across technology, AI, hardware, open source, international, politics, finance, military, space, energy, entertainment, and domestic (China)

  • Smart ranking β€” articles scored by source credibility, keyword relevance, and recency

  • SQLite cache β€” 15-minute TTL eliminates redundant fetches; survives network outages

  • Proxy support β€” configurable HTTP/HTTPS proxy for mainland China environments

  • Fault isolation β€” a single failing source never crashes the server; degrades gracefully to cache

  • Zero API keys β€” works entirely on public RSS feeds, no registration required

  • Cross-platform β€” Windows, Linux, macOS; Python 3.10+


Quick Start

git clone https://github.com/ashtondebug/global-news-intelligence-mcp.git
cd global-news-intelligence-mcp

python -m venv .venv
source .venv/bin/activate   # macOS/Linux
# .venv\Scripts\activate    # Windows

pip install -e .
cp config.example.yaml config.yaml

Environment Check

python check_env.py
Global News Intelligence MCP - Environment Check

  Python 3.12.13: OK
  fastmcp: OK      httpx: OK      feedparser: OK
  pyyaml: OK       pydantic: OK

Result: ALL CHECKS PASSED

Start

python -m global_news_mcp

The server listens on stdio. Connect it to your MCP client.


MCP Tools

Tool

Description

get_top_news

Top global headlines (tech/AI prioritized)

get_news

News by category with configurable limit

get_technology_news

AI, chips, software, hardware, open source

get_ai_news

Artificial intelligence

get_hardware_news

CPUs, GPUs, semiconductors, devices

get_opensource_news

Open source community and developer ecosystem

get_space_news

Space missions, science, technology

get_international_news

Global events from BBC, Reuters, Guardian

get_politics_news

Political coverage

get_finance_news

Markets, economy, business

get_military_news

Defense and security

get_world_news

Composite: international + politics + finance + military

get_domestic_news

China news (People s Daily, China News, NetEase, IT Home, 36Kr)

get_energy_news

Oil, gas, renewables, energy policy

get_entertainment_news

Entertainment industry

get_news_summary

Summary for a specific article URL

Response Format

[
  {
    "title": "OpenAI Announces GPT-5",
    "source": "TechCrunch",
    "time": "2026-08-04T10:30:00+00:00",
    "summary": "OpenAI has officially announced GPT-5, their next-generation...",
    "url": "https://techcrunch.com/2026/08/04/...",
    "category": "ai"
  }
]

Up to 10 articles per response, ranked by importance.


Configuration

config.yaml (copy from config.example.yaml):

network:
  timeout: 15
  proxy:
    enabled: false       # Set to true for mainland China
    http: ""             # e.g. http://127.0.0.1:7890  (Clash)
    https: ""            # e.g. http://127.0.0.1:7890

cache:
  ttl: 900              # Seconds (15 min)

logging:
  level: "INFO"
  file: ""              # Empty = stderr only

sources:
  technology: true       # Toggle individual categories
  ai: true
  # ... 12 categories total

Common proxy ports: Clash 7890 Β· V2Ray 10809 Β· SSR 1080


Architecture

β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
β”‚           MCP Client (LLM)            β”‚
β”‚   XiaoZhi AI / Claude / Codex / ...   β”‚
β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜
                   β”‚ stdio (JSON-RPC)
β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β–Όβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
β”‚          main.py (FastMCP)            β”‚
β”‚         16 registered tools           β”‚
β””β”€β”€β”¬β”€β”€β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜
   β”‚       β”‚      β”‚       β”‚
   β–Ό       β–Ό      β–Ό       β–Ό
β”Œβ”€β”€β”€β”€β”€β”€β” β”Œβ”€β”€β”€β”€β” β”Œβ”€β”€β”€β”€β”€β”€β” β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
β”‚ rss  β”‚ β”‚cacheβ”‚ β”‚rankingβ”‚ β”‚summarizerβ”‚
β”‚ .py  β”‚ β”‚ .py β”‚ β”‚ .py  β”‚ β”‚   .py    β”‚
β””β”€β”€β”¬β”€β”€β”€β”˜ β””β”€β”€β”¬β”€β”˜ β””β”€β”€β”¬β”€β”€β”€β”˜ β””β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”˜
   β”‚        β”‚      β”‚          β”‚
   β–Ό        β–Ό      β–Ό          β–Ό
β”Œβ”€β”€β”€β”€β”€β”€β” β”Œβ”€β”€β”€β”€β”€β”€β” β”Œβ”€β”€β”€β”€β”€β”€β” β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
β”‚parserβ”‚ β”‚SQLiteβ”‚ β”‚sourcesβ”‚ β”‚classifierβ”‚
β”‚ .py  β”‚ β”‚  DB  β”‚ β”‚ .py  β”‚ β”‚   .py    β”‚
β””β”€β”€β”€β”€β”€β”€β”˜ β””β”€β”€β”€β”€β”€β”€β”˜ β””β”€β”€β”€β”€β”€β”€β”˜ β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜

Pipeline: Sources β†’ Fetch β†’ Parse β†’ Classify β†’ Rank β†’ Summarize β†’ Return


News Sources

Category

Sources

Technology

The Verge, TechCrunch, Ars Technica, MIT Technology Review

AI

OpenAI Blog, DeepMind Blog, Hugging Face Blog

Hardware

Tom s Hardware, AnandTech

Open Source

Hacker News

International

BBC News, Reuters World, The Guardian

Politics

BBC Politics

Finance

Reuters Business, CNBC

Military

Defense News

Space

Space.com, SpaceNews, NASA Releases, ESA Space Science

Energy

OilPrice

Entertainment

Variety

Domestic (China)

People s Daily, China News, NetEase News, IT Home, 36Kr

28 feeds total. To add a source, edit src/global_news_mcp/sources.py:

{"name": "My Source", "url": "https://example.com/rss", "category": "technology"},

Client Integration

Claude Desktop

{
  "mcpServers": {
    "global_news": {
      "command": "python",
      "args": ["-m", "global_news_mcp"],
      "cwd": "/path/to/global-news-intelligence-mcp"
    }
  }
}

Codex / Continue / Cursor

Same pattern β€” point the command to your Python and set cwd to the project root.


Development

pip install -e ".[dev]"
pytest

Code Conventions

  • logging only β€” never print() (stdout is JSON-RPC)

  • pathlib for all filesystem paths

  • UTF-8 throughout

  • Every @mcp.tool() function must have a complete docstring

Adding a New Tool

@mcp.tool()
async def get_my_category_news() -> str:
    """Get news for my custom category."""
    return await _fetch_news(["my_category"], 10)

Project Structure

.
β”œβ”€β”€ pyproject.toml
β”œβ”€β”€ config.example.yaml
β”œβ”€β”€ README.md
β”œβ”€β”€ RUNBOOK.md
β”œβ”€β”€ check_env.py
β”œβ”€β”€ install.bat
β”œβ”€β”€ start.bat
β”œβ”€β”€ src/global_news_mcp/
β”‚   β”œβ”€β”€ main.py          # Entry point + 16 tool registrations
β”‚   β”œβ”€β”€ sources.py       # 28 RSS feed definitions
β”‚   β”œβ”€β”€ rss.py           # Async concurrent fetching
β”‚   β”œβ”€β”€ parser.py        # feedparser β†’ Article model
β”‚   β”œβ”€β”€ classifier.py    # Keyword-based classification
β”‚   β”œβ”€β”€ ranking.py       # Importance scoring
β”‚   β”œβ”€β”€ summarizer.py    # Response formatting
β”‚   β”œβ”€β”€ cache.py         # SQLite cache layer
β”‚   β”œβ”€β”€ network.py       # httpx client (proxy/timeout)
β”‚   β”œβ”€β”€ config.py        # YAML config loader
β”‚   └── logger.py        # stderr logging
└── .gitignore

License

MIT Β© 2026

Install Server
A
license - permissive license
B
quality
C
maintenance

Maintenance

–Maintainers
–Response time
–Release cycle
–Releases (12mo)
Commit activity

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