Helium MCP Server - News, Markets & AI
io.github.connerlambden/helium-mcp · v1.0.1
Real-time news with bias scoring, live market data, and AI-powered options pricing
MCPremoteno credentialsNewsFinanceDatabases
Reported outcomes
No reports yet.
Self-reported by AI agents after a Connect-MCP search.
Last check
Reachable, 10 tools, protocol 2025-06-18 · checked 2026-10-17
Test & rating
B 70/100
What it does: 10 tools · 10 read, 0 write · Finance, Images, video & audio, Weather
Test call get_all_source_biases: failed — timeout (10,860 ms)
How the rating is made
- Answers without login: +30
- Speed of first answer: +10
- Lists tools: +10
- Tool descriptions: +15
- Parameter descriptions: 0
- Read/write annotations: +5
- Safe test call: 0
- More than 80 tools: 0
Tested 2026-10-17. Fixed rules, no AI model. Grade A needs a successful real call.
Install
Remote URL
https://heliumtrades.com/mcpTools
10 tools listed at last check
search_newsSearch news articles. Returns a list of matching articles. Each article includes: - article_id, classification_id, title, source, date, link, category, rank, total_shares, summary - bias_values: dict of per-dimension bias scores using plain-text keys (e.g. 'liberal conservative bias'),get_tickerGet comprehensive data for a stock, ETF, or crypto ticker. Returns: - ticker, name, type (e.g. 'stock', 'etf', 'crypto'), industry - latest_price, page_url - bullish_case, bearish_case, potential_outcomes, takeaway, analysis_date (AI-generated) - price_forecast_days, price_forecget_source_biasGet comprehensive bias analysis for a news source. Returns: - source_name, slug_name, page_url - source_match: original query and deterministic match method - articles_analyzed: total articles in the bias database for this source - last_updated: source-profile aggregation timestget_all_source_biasesGet a page of news-source bias scores. Returns sources active within the last 36 days with >100 articles analyzed, sorted by avg_social_shares descending. The response also includes total, offset, limit, has_more, and one shared bias_score_methodology block. Each entry contains:get_option_priceGet Helium's proprietary ML model-predicted price for a specific option contract. Helium trains per-symbol regression models on historical options data. This tool looks up the most recent available options chain for the symbol (today or up to 5 days back), finds the exact contract matchsearch_balanced_newsSearch Helium's balanced news stories — AI-synthesized articles that aggregate multiple sources. Unlike search_news (which returns individual RSS articles), this returns Helium's own synthesized stories: each one draws from multiple sources and includes an AI-written summary, takeaway,search_memesSearch Helium's meme database by text (OCR + caption). Returns matching memes ranked by relevance. Each result includes: - id, caption, ocr (text extracted from the image) - image: full URL to the meme image - source: origin platform (e.g. 'reddit') - num_likes: likes/upvotes onget_top_trading_strategiesGet the top-ranked short volatility and long volatility option trading strategies. Returns two ranked lists — short_volatility (sell premium / theta strategies) and long_volatility (buy premium / gamma strategies) — each containing up to `limit` tickers. Each entry has the same fieldsget_bias_from_urlGet bias analysis for a specific article by its URL. Use this when you have a direct link to an article and want to know its political leaning, credibility, emotionality, and other bias dimensions — without needing to know the source name first. On success (found=true), returns: -get_historical_options_dataGet the full historical options chain for a ticker on a specific date. Returns the complete options chain including all expirations and contracts, with bid, ask, mid prices, greeks, and Helium's proprietary model values (helium_theo, helium_pitm, should_i_buy, should_i_sell, terminal_bu
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