MCP server
Helium MCP Server - News, Markets & AI
io.github.connerlambden/helium-mcp
Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools
Real-time news with bias scoring, live market data, and AI-powered options pricing
Working at last checkAbout 5,293 tokens per request once connected10 tools
https://heliumtrades.com/mcp
At a glance
- Type
- MCP server
- Publisher
- Not verified
- Status
- Working at last check
- Tools
- 10
- Token cost
- About 5,293 tokens per request
- Sets up in
- Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok
- Last checked
- 26 Oct 2026, 08:29 UTC
Connect it to your agent
Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.
Claude Code
claude mcp add --transport http helium-mcp https://heliumtrades.com/mcp
Claude Desktop
Settings → Connectors → Add custom connector, and paste the URL.
Codex (config.toml)
[mcp_servers.helium-mcp] url = "https://heliumtrades.com/mcp"
Gemini CLI
{"mcpServers":{"helium-mcp":{"httpUrl":"https://heliumtrades.com/mcp"}}}
Cursor
{"mcpServers":{"helium-mcp":{"url":"https://heliumtrades.com/mcp"}}}
VS Code
{"servers":{"helium-mcp":{"type":"http","url":"https://heliumtrades.com/mcp"}}}
Antigravity
agy mcp add helium-mcp https://heliumtrades.com/mcp
ChatGPT
Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.
OpenAI API (Responses tools)
{"type":"mcp","server_label":"helium-mcp","server_url":"https://heliumtrades.com/mcp","require_approval":"always"}
Grok (xAI API tools)
{"type":"mcp","server_label":"helium-mcp","server_url":"https://heliumtrades.com/mcp"}
Tools
get_all_source_biases~653 tokens
Get 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_bias_from_url~658 tokens
Get 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_data~394 tokens
Get 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_buget_option_price~487 tokens
Get 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 matchget_source_bias~700 tokens
Get 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_ticker~369 tokens
Get 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_top_trading_strategies~502 tokens
Get 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 fieldssearch_balanced_news~461 tokens
Search 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_memes~258 tokens
Search 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 onsearch_news~811 tokens
Search 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'),
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