Helium MCP Server

Real-time news with bias scoring, live market data, and AI-powered options pricing — all accessible through the Model Context Protocol.

Overview

Helium MCP gives your AI assistant access to:

• 3.2M+ news articles from 5,000+ sources, each scored across 15+ bias dimensions
• Balanced news synthesis — left, right, and center perspectives aggregated into one coherent story
• Live market data — price, IV rank, AI-generated bull/bear cases, and price forecasts
• AI options pricing — proprietary ML models for fair-value estimates and probability ITM
• Meme search — semantic search across viral memes with OCR text and captions

50 free queries included. No sign-up required.

Quick Start

Cursor

Add to your Cursor MCP settings:

{
  "mcpServers": {
    "helium": {
      "url": "https://heliumtrades.com/mcp"
    }
  }
}

Claude Desktop

Add to ~/Library/Application Support/Claude/claude_desktop_config.json:

{
  "mcpServers": {
    "helium": {
      "type": "streamable-http",
      "url": "https://heliumtrades.com/mcp"
    }
  }
}

Windsurf

Add to your Windsurf MCP settings:

{
  "mcpServers": {
    "helium": {
      "serverUrl": "https://heliumtrades.com/mcp"
    }
  }
}

GitHub Copilot

Add to your .github/copilot-instructions.md or MCP config:

{
  "mcpServers": {
    "helium": {
      "type": "streamable-http",
      "url": "https://heliumtrades.com/mcp"
    }
  }
}

Any MCP Client

Connect to the streamable HTTP endpoint:

https://heliumtrades.com/mcp

Example Output

"What's the bull and bear case for Bitcoin?"

get_ticker("BTC")
→ Bitcoin: $71,040.01
  Bull case: "Institutional spot demand resumes... squeeze toward mid/upper-80ks to low-100ks"
  Bear case: "Higher-for-longer rates, persistent ETF outflows... slide into 40–55k plausible"
  Forecast: +1.8% over 37 days (range: -1.2% to +5.0%)
  IV Rank: available
  Options strategies: long vol + short vol packs included

"How biased is CNN?"

get_source_bias("CNN")
→ Emotionality: 7/10
  30+ bias dimensions scored (political lean, fearfulness, opinion, oversimplification...)
  Signature phrases: "trump threatens", "mortgage rates", "nuclear weapons"
  Similar sources: NBC, PBS, AP, Newsweek, CBS
  Per-article bias breakdown on recent stories included

"What are the best options trades right now?"

get_top_trading_strategies()
→ AI-ranked short vol + long vol setups
  Each includes: ticker, price, bull/bear case, 5 probability-weighted outcomes,
  full option pack (strike, expiry, Greeks, ML fair value, probability ITM)

"Give me NVIDIA's full analysis"

get_ticker("NVDA")
→ NVIDIA: $183.91
  5 probability-weighted scenarios (38% mean-revert, 25% +10-25%, 20% -5-12%...)
  Forecast: +4.2% over 37 days (range: -2.6% to +8.9%)
  IV rank, volatility surface, term structure, return profile charts
  27 time-horizon uncertainty visualizations (1-day to 995-day)

"Find me stock market crash memes"

search_memes("stock market crash")
→ Babylon Bee: "Kamala Desperately Googles 'What Is A Stock Market Crash'" (32K likes)
→ "Everyone: 'omg the stock market is crashing!' / 500 cigarettes adapter" (437K likes)
  Full OCR text, source, date, image URLs included

Tools

search_news

Full-text search across 3.2M+ articles from 5,000+ sources. Filter by source, category, date, and minimum shares. Returns bias scores, AI summaries, and context.

Parameters:

Parameter	Type	Required	Default	Description
query	string	Yes	—	Search keywords
limit	integer	No	20	Max results (1–100)
source	string	No	—	Filter by source name (e.g. "CNN", "Reuters")
category	string	No	—	One of: trending, tech, markets, politics, business, science, memes
days_back	integer	No	720	Only include articles from the last N days
min_shares	integer	No	-1	Minimum total social shares
sort	string	No	"rank"	One of: rank (relevance), date (newest), shares (most shared)

search_balanced_news

AI-synthesized articles that aggregate multiple sources into balanced coverage. Each story includes a summary, takeaway, evidence breakdown, potential outcomes, and relevant tickers.

Parameters:

Parameter	Type	Required	Default	Description
query	string	Yes	—	Search keywords
limit	integer	No	10	Max results (1–50)
category	string	No	—	One of: tech, politics, markets, business, science
days_back	integer	No	0	Only include stories from the last N days (0 = no filter)

get_source_bias

Deep bias analysis for any news outlet: political lean, emotional tone, prescriptiveness, signature phrases, similar sources, and historical trends.

Parameters:

Parameter	Type	Required	Default	Description
source	string	Yes	—	Source name (e.g. "Fox News") or domain (e.g. "foxnews.com")
recent_articles	integer	No	10	Number of recent articles to include (1–50)

get_bias_from_url

Analyze any article URL for per-dimension bias scores: political lean, emotionality, manipulation level, factfulness, and more.

Parameters:

Parameter	Type	Required	Default	Description
url	string	Yes	—	Full article URL

get_ticker

Comprehensive data for any stock, ETF, or crypto: live price, AI-generated bull/bear cases, price forecast, IV rank, volatility surface, and top-ranked options strategies.

Parameters:

Parameter	Type	Required	Default	Description
ticker	string	Yes	—	Ticker symbol (e.g. "AAPL", "SPY", "BTC")

get_option_price

Helium's proprietary ML model-predicted fair-value price for a specific option contract. Returns predicted price, probability ITM, and the data date.

Parameters:

Parameter	Type	Required	Default	Description
symbol	string	Yes	—	Ticker symbol (e.g. "AAPL", "SPY")
strike	number	Yes	—	Strike price (e.g. 150.0)
expiration	string	Yes	—	Expiration date as YYYY-MM-DD
option_type	string	Yes	—	"call" or "put"

get_top_trading_strategies

Helium's highest-conviction options setups ranked by AI edge score, expected value, and market conditions. Returns both short volatility and long volatility strategies.

Parameters:

Parameter	Type	Required	Default	Description
sort	string	No	"helium_rank"	One of: helium_rank, odds_of_profit, historical_performance, reward_to_risk, smallest_max_loss
limit	integer	No	5	Results per strategy type (1–20)

get_all_source_biases

Bias scores for every tracked news source — compare outlets, rank by credibility, or build a full media landscape overview. Returns all sources with >100 articles analyzed, sorted by average social shares.

Parameters: None required.

search_memes

Semantic search across viral memes — images, captions, OCR text, like counts, and source attribution.

Parameters:

Parameter	Type	Required	Default	Description
query	string	Yes	—	Search keywords (matched against OCR text and captions)
limit	integer	No	20	Max results (1–100)

Pricing

Plan	Cost	Details
Free	$0	50 queries per network — no sign-up needed
Pay As You Go	$0.02/query	Billed daily via Stripe. All 9 tools, unlimited queries.

Get an API key at heliumtrades.com/mcp-page.

Examples, Recipes & Interactive Demo

• Helium News Bias Explorer — interactive single-page demo (zero dependencies) that fetches the live source-bias corpus and lets you rank, scatter, or inspect any of the 216 sources across all 37 bias dimensions. The fastest way to feel what the API can do without writing code.
• Helium Ticker Forecast Dashboard — companion dashboard that renders the top 10 short-vol and long-vol candidates with ML 37-day forecasts, uncertainty cones, and bull/bear narratives. Single GET to mcp_top_strategies/.
• helium-mcp-cookbook — seven runnable Python recipes covering news-bias ranking, options calibration tracking, balanced-news synthesis, source credibility ranking, ticker forecasts, top-strategies, and meme search. Each is one file you can run with python recipes/NN_name.py.

Links

• Helium MCP Page
• Helium News Bias Explorer — live interactive demo (news side)
• Helium Ticker Forecast Dashboard — live interactive demo (markets side)
• helium-mcp-cookbook — seven runnable Python recipes
• Glama
• Smithery
• npm
• Helium Trades
• Privacy Policy

License

MIT