| 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 |
| category | Development & Code Tools |
| source | antigravity |
| tags | ["api","mcp","claude","ai","rag","cro"] |
| url | https://github.com/sickn33/antigravity-awesome-skills/tree/main/skills/helium-mcp |
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
{
"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 th
