Real-time crypto and financial news from 72+ sources with AI-generated impact scores and trading signals.
Works with
Aggregates news, exchange listings, on-chain whale trades, meme sentiment, and market anomalies across 5 engine categories
Includes major sources: Bloomberg, Reuters, Financial Times, CNBC, CoinDesk, Twitter/X, Binance, Coinbase, and 60+ others
Search by keyword, coin symbol, engine type, or news source; filter for high-impact articles (score >= 80) and bilingual AI summaries
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionopennewsExecute the skills CLI command in your project's root directory to begin installation:
Fetches opennews from 6551team/opennews-mcp and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate opennews. Access via /opennews in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
Submit your Claude Code skill and start earning
Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
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Real-time crypto & financial news aggregator powered by 6551.io — 72+ data sources across 5 engine categories, all AI-analyzed with impact scores, trading signals, and bilingual summaries.
Get your token: https://6551.io/mcp
Base URL: https://ai.6551.io
| Category | Count | Key Sources |
|---|---|---|
| News | 53 | Bloomberg, Reuters, Financial Times, CNBC, CNN, BBC, Fox Business, CoinDesk, Cointelegraph, The Block, Blockworks, Decrypt, DlNews, A16Z, TechCrunch, Wired, Politico, Business Insider, Twitter/X, Telegram, Weibo, Truth Social, U.S. Treasury, ECB, TASS, Handelsblatt, Welt, Ambrey, Morgan Stanley, PR Newswire, Coinbase, Phoenixnews, and more |
| Listing | 9 | Binance, Coinbase, OKX, Bybit, Upbit, Bithumb, Robinhood, Hyperliquid, Aster |
| OnChain | 3 | Hyperliquid Whale Trade, Hyperliquid Large Position, KOL Trade |
| Meme | 1 | Twitter meme coin social sentiment |
| Market | 6 | Price Change, Funding Rate, Funding Rate Difference, Large Liquidation, Market Trends, OI Change |
All requests require the header:
Authorization: Bearer $OPENNEWS_TOKEN
Fetch the full engine tree with all 5 categories and 72+ sources.
curl -s -H "Authorization: Bearer $OPENNEWS_TOKEN" \
"https://ai.6551.io/open/news_type"
Returns a tree with engine types (news — 53 sources, listing — 9 exchanges, onchain — 3 whale/KOL trackers, meme — 1 sentiment source, market — 6 anomaly signals) and their sub-categories.
POST /open/news_search is the primary search endpoint.
Get latest news:
curl -s -X POST "https://ai.6551.io/open/news_search" \
-H "Authorization: Bearer $OPENNEWS_TOKEN" \
-H "Content-Type: application/json" \
-d '{"limit": 10, "page": 1}'
Search by keyword:
curl -s -X POST "https://ai.6551.io/open/news_search" \
-H "Authorization: Bearer $OPENNEWS_TOKEN" \
-H "Content-Type: application/json" \
-d '{"q": "bitcoin OR ETF", "limit": 10, "page": 1}'
Search by coin symbol:
curl -s -X POST "https://ai.6551.io/open/news_search" \
-H "Authorization: Bearer $OPENNEWS_TOKEN" \
-H "Content-Type: application/json" \
-d '{"coins": ["BTC"], "limit": 10, "page": 1}'
Filter by engine type and news type:
curl -s -X POST "https://ai.6551.io/open/news_search" \
-H "Authorization: Bearer $OPENNEWS_TOKEN" \
-H "Content-Type: application/json" \
-d '{"engineTypes": {"news": ["Bloomberg", "Reuters"]}, "limit": 10, "page": 1}'
Only news with coins:
curl -s -X POST "https://ai.6551.io/open/news_search" \
-H "Authorization: Bearer $OPENNEWS_TOKEN" \
-H "Content-Type: application/json" \
-d '{"hasCoin": true, "limit": 10, "page": 1}'
| Parameter | Type | Required | Description |
|---|---|---|---|
limit |
integer | yes | Max results per page (1-100) |
page |
integer | yes | Page number (1-based) |
q |
string | no | Full-text keyword search |
coins |
string[] | no | Filter by coin symbols (e.g. ["BTC","ETH"]) |
engineTypes |
map[string][]string | no | Filter by engine and news types |
hasCoin |
boolean | no | Only return news with associated coins |
Important: You need to understand the user's query intent and perform word segmentation, then combine them using OR/AND to form search keywords, supporting both Chinese and English.
{
"id": "unique-article-id",
"text": "Article headline / content",
"newsType": "Bloomberg",
"engineType": "news",
"link": "https://...",
"coins": [{"symbol": "BTC", "market_type": "spot", "match": "title"}],
"aiRating": {
"score": 85,
"grade": "A",
"signal": "long",
"status": "done",
"summary": "Chinese summary",
"enSummary": "English summary"
},
"ts": 1708473600000
}
curl -s -X POST "https://ai.6551.io/open/news_search" \
-H "Authorization: Bearer $OPENNEWS_TOKEN" \
-H "Content-Type: application/json" \
-d '{"limit": 10, "page": 1}' | jq '.data[] | {text, newsType, signal: .aiRating.signal}'
curl -s -X POST "https://ai.6551.io/open/news_search" \
-H "Authorization: Bearer $OPENNEWS_TOKEN" \
-H "Content-Type: application/json" \
-d '{"limit": 50, "page": 1}' | jq '[.data[] | select(.aiRating.score >= 80)]'
If you don't have an OPENNEWS_TOKEN, you can use these free endpoints as a fallback. These provide curated hot news and trending tweets by category, but with limited search capabilities compared to the authenticated API.
Get all available news categories and subcategories for the free tier.
curl -s -X GET "https://ai.6551.io/open/free_categories"
Get hot news articles and trending tweets by category. No authentication required.
curl -s -X GET "https://ai.6551.io/open/free_hot?category=macro"
Parameters:
| Parameter | Type | Required | Description |
|---|---|---|---|
category |
string | yes | Category key from free_categories |
subcategory |
string | no | Subcategory key for more specific filtering |
Response Structure:
{
"success": true,
"category": "crypto",
"subcategory": "defi",
"news": {
"success": true,
"count": 10,
"items": [
{
"id": 123,
"title": "...",
"source": "...",
"link": "https://...",
"score": 85,
"grade": "A",
"signal": "bullish",
"summary_zh": "...",
"summary_en": "...",
"coins": ["BTC", "ETH"],
"published_at": "2026-03-17T10:00:00Z"
}
]
},
"tweets": {
"success": true,
"count": 5,
"items": [
{
"author": "Vitalik Buterin",
"handle": "VitalikButerin",
"content": "...",
"url": "https://...",
"metrics": { "likes": 1000, "retweets": 200, "replies": 50 },
"posted_at": "2026-03-17T09:00:00Z",
"relevance": "high"
}
]
}
}
Example - Get Hot Crypto News:
curl -s -X GET "https://ai.6551.io/open/free_hot?category=macro"
Example - Get DeFi Subcategory N
Make data-driven prioritization decisions faster
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Prerequisites
Time Estimate
30-60 minutes to see productivity improvements
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid when
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
mattpocock/skills
parcadei/continuous-claude-v3
cursor/plugins
ailabs-393/ai-labs-claude-skills
ailabs-393/ai-labs-claude-skills
pproenca/dot-skills
Keeps context tight: opennews is the kind of skill you can hand to a new teammate without a long onboarding doc.
opennews has been reliable in day-to-day use. Documentation quality is above average for community skills.
opennews is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
opennews reduced setup friction for our internal harness; good balance of opinion and flexibility.
Useful defaults in opennews — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
Solid pick for teams standardizing on skills: opennews is focused, and the summary matches what you get after install.
I recommend opennews for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
Registry listing for opennews matched our evaluation — installs cleanly and behaves as described in the markdown.
I recommend opennews for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
opennews fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
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