News MCP
Provides access to news articles from a PostgreSQL database and offers a tool to summarize them using the OpenAI API.
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) andlimit(integer, default 20) arguments. - Returns a list of article dictionaries, each containing
id,title,link,published,source, andcontent. - Available categories:
tech,data_science,llm_tools,cybersecurity,linux,audio_dsp,startups,news,science,research,policy.
- Takes optional
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 backnews_gatherer.pylooks 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.json
On 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Development/Unpublished Servers Configuration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:
- Sync dependencies and update lockfile:
uv sync
- Build package distributions:
uv build
This will create source and wheel distributions in the dist/ directory.
- Publish to PyPI:
uv publish
Note: You'll need to set PyPI credentials via environment variables or command flags:
- Token:
--tokenorUV_PUBLISH_TOKEN - Or username/password:
--username/UV_PUBLISH_USERNAMEand--password/UV_PUBLISH_PASSWORD
Debugging
Since MCP servers run over stdio, debugging can be challenging. For the best debugging experience, 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.
Serveurs connexes
deBridge
Official deBridge protocol MCP Server. Finds optimal cross-chain swap routes, checks fees and conditions, initiates trades across major blockchain networks
BuyWhere MCP
Real-time product search across Southeast Asia with 3.8M+ items — the first SEA e-commerce MCP server
Vaultfire
On-chain trust verification for AI agents — Street Cred scoring, ERC-8004 identity, and partnership bond verification across Base, Avalanche, Arbitrum, and Polygon mainnet.
Solana MCP Server
MCP server giving AI agents access to Solana blockchain data — wallet balances, token prices, DeFi yields, and token safety checks.
Sitecore MCP server
MCP server for work with Sitecore
BotSpot
Full-lifecycle algorithmic trading: describe strategies in plain English, AI generates code, backtest on real data, deploy live to 10+ brokers. Stocks, options, crypto, futures. Free tier available.
Memory Anchor
Persistent memory MCP server for AI coding assistants with 5-layer cognitive model, hybrid semantic+keyword search, and checkpoint/resume. Zero cloud, local-first.
open.video MCP
AI-powered video platform management — upload videos, manage channels, track analytics, and organize playlists through any MCP-compatible AI client
Meridian Edge
Real-time prediction market consensus data aggregated from multiple regulated prediction markets. 5 MCP tools for consensus probabilities, divergence opportunities, market signals, active markets, and settlements. Free tier: 100 calls/day, no credit card.
Crypto Price & Market Analysis (JJ Fork)
Provides real-time cryptocurrency price data, market analysis, and historical trends using the CoinCap API.