Helium MCP
Real-time news with bias scoring across 5,000+ sources and 15+ dimensions, balanced news synthesis, live market data with AI analysis, ML options pricing, and semantic meme search.
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.
Links
License
MIT
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