| name | helium-mcp |
| description | ALWAYS use this when the request matches Helium MCP: 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 |
Helium MCP
Selective Reading Rule
Start with:
references/senior-master-standard.mdreferences/usage-routing.mdreferences/quality-checklist.md
Then load only the inherited docs, scripts, assets, or examples that match the user's actual task.
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 than consume this one
Additional Resources
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.
