helium-mcp – skill Agent & Tự động hóa cho agent AI

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.

Treat coverage/tool counts and no-auth availability as upstream descriptions to verify via the current connected schema. Queries/URLs leave the client; do not submit private URLs or personal information without authorization. Bias labels/synthesized balance are model/provider assessments, not objective truth or equal evidentiary weight: trace claims to original dated sources. Market/option outputs need timestamp, exchange/currency/delay and methodology; model fair values/probabilities/strategy ranks are uncertain estimates, not executable quotes or personalized trade instructions. This skill never authorizes trading.

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 research scenarios, with actual market and risk validation before any decision
• 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.