— name: helium-mcp description: "Connect to Helium's MCP server for news research, media bias analysis, balanced perspectives, stock/options data, and semantic meme search across 3.2M+ articles and 5,000+ sources" risk: safe source: "https://heliumtrades.com/mcp-page/" source_repo: connerlambden/helium-mcp source_type: community date_added: "2026-04-13" author: connerlambden tags: [mcp, news, media-bias, stocks, options, finance, research] tools: [claude, cursor, gemini] — # Helium MCP ## Overview Helium MCP provides AI coding assistants with access to news intelligence, media bias analysis, financial market data, and meme search through 9 tools exposed via the Model Context Protocol. It covers 3.2M+ articles from 5,000+ news sources with 15+ bias dimensions, live stock/ETF/crypto data with AI-generated analysis, and ML-predicted options pricing. ## When to Use This Skill – Use when you need to search or analyze news articles with bias-aware context – Use when researching media bias for a specific source or article URL – Use when you want balanced left/right/center perspectives on a topic – Use when looking up live stock, ETF, or crypto data with AI bull/bear cases – Use when pricing options or evaluating trading strategies – Use when searching for memes by semantic meaning ## MCP Configuration Add the Helium MCP server to your client configuration. The endpoint uses streamable HTTP and requires no authentication. ### Claude Desktop / Cursor / Windsurf “`json { "mcpServers": { "helium": { "url": "https://heliumtrades.com/mcp" } } } “` No API key or authentication is required. ## Available Tools ### News & Media Bias #### `search_news` Search 3.2M+ articles from 5,000+ sources with 15+ bias dimensions. Filter by topic, source, date range, and bias attributes. “` search_news({ query: "artificial intelligence regulation" }) “` #### `search_balanced_news` Get AI-synthesized balanced articles presenting left, right, and center perspectives on any topic. “` search_balanced_news({ query: "immigration policy" }) “` #### `get_source_bias` Retrieve the detailed bias profile for any news source, including political lean, factual reporting score, and 15+ bias dimensions. “` get_source_bias({ source: "reuters" }) “` #### `get_all_source_biases` Get bias data for all 5,000+ tracked news sources in a single call. “` get_all_source_biases() “` #### `get_bias_from_url` Run a full bias analysis on a specific article URL, returning the source bias profile and article-level bias indicators. “` get_bias_from_url({ url: "https://example.com/article" }) “` ### Finance & Markets #### `get_ticker` Get live stock, ETF, or crypto data including price, volume, AI-generated bull/bear cases, and forecasts. “` get_ticker({ ticker: "AAPL" }) “` #### `get_option_price` Get ML-predicted fair value and probability of finishing in-the-money for a specific options contract. “` get_option_price({ ticker: "AAPL", strike: 200, expiration: "2026-06-19", type: "call" }) “` #### `get_top_trading_strategies` Get top-ranked options strategies for a ticker with risk/reward analysis. “` get_top_trading_strategies({ ticker: "TSLA" }) “` ### Memes #### `search_memes` Semantic meme search — find memes by meaning rather than exact keywords. “` search_memes({ query: "debugging at 3am" }) “` ## Examples ### Example 1: Balanced News Research Ask your AI assistant: > "Search for balanced news coverage on climate policy and show me how left, right, and center sources frame the issue differently." The assistant will call `search_balanced_news` and present synthesized perspectives from across the political spectrum. ### Example 2: Source Credibility Check > "What is the media bias profile for The New York Times?" The assistant will call `get_source_bias` and return the full bias breakdown including political lean, factual reporting, and other dimensions. ### Example 3: Stock Research with Options > "Give me the bull and bear case for NVDA, then find the best options strategies." The assistant will call `get_ticker` for market data and AI analysis, then `get_top_trading_strategies` for ranked strategy recommendations. ### Example 4: Article Bias Analysis > "Analyze the bias of this article: https://example.com/politics/story" The assistant will call `get_bias_from_url` to return source-level and article-level bias indicators. ## Best Practices – **Start broad, then narrow:** Use `search_news` for discovery, then `get_bias_from_url` for deep analysis on specific articles – **Cross-reference perspectives:** Combine `search_balanced_news` with `get_source_bias` to understand why sources frame topics differently – **Pair market tools:** Use `get_ticker` for the fundamental view, then `get_option_price` or `get_top_trading_strategies` for actionable trades – **No auth needed:** The endpoint works immediately with no API keys or setup beyond adding the MCP config ## Common Pitfalls – **Problem:** Tool calls return empty results for very niche queries **Solution:** Broaden the search terms — Helium indexes mainstream and mid-tier sources, so hyper-local topics may have limited coverage – **Problem:** Options data unavailable for a ticker **Solution:** Verify the ticker has listed options — some small-cap stocks and most crypto assets do not have options markets ## Related Skills – `@mcp-builder` – If you want to build your own MCP server rather than consume this one ## Additional Resources – [Helium MCP Page](https://heliumtrades.com/mcp-page/) – [GitHub Repository](https://github.com/connerlambden/helium-mcp) – [MCP Protocol Specification](https://modelcontextprotocol.io/) ## Limitations – Use this skill only when the task clearly matches the scope described above. – Do not treat the output as a substitute for environment-specific validation, testing, or expert review. – Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.