Market Insights Server
@jashchawla8
Market Insights Server について
概要はまだありません
基本情報
設定
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"mcp-server-jashchawla8": {
"command": "python",
"args": [
"spark_market_insights_server.py",
"--commodity",
"nickel"
]
}
}
}ツール
ツールは検出されませんでした
ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。
概要
What is Market Insights Server?
Market Insights Server is a real-time commodity tracking system that uses Apache Spark, OpenAI GPT, and the MCP protocol to collect, process, and generate actionable market insights from Reddit, News APIs, and Yahoo Finance.
How to use Market Insights Server?
Install dependencies with pip install -r requirements.txt, then run python spark_market_insights_server.py --commodity "nickel" (or any other commodity). The server outputs cleaned text data, TF-IDF features, a GPT-4‑powered insight report, and a JSON export of insights.
Key features of Market Insights Server
- Real‑time data collection from Reddit, News APIs, and Yahoo Finance
- Scalable processing using Apache Spark (PySpark 3.5.0)
- Natural language insights powered by GPT‑4
- Configurable for any commodity market: energy, metals, agriculture, and more
- Built‑in dynamic configuration generation and subreddit discovery
- Ready for deployment with error handling, retries, and async collection
Use cases of Market Insights Server
- Generate daily market sentiment reports for a specific commodity
- Monitor supply‑chain disruptions (e.g., export bans) through Reddit and news sentiment
- Combine price feeds with narrative analysis to anticipate price trends
- Support trading or investment decisions with AI‑summarized insights
FAQ from Market Insights Server
What Python version is required?
Python 3.x is required, with PySpark 3.5.0 and other dependencies listed in requirements.txt.
What data sources does Market Insights Server use?
It collects data from Reddit (via async scraping), News APIs, and Yahoo Finance for live price feeds.
How does the AI insight layer work?
It uses OpenAI GPT‑4 to summarize and synthesize market narratives into a human‑readable report.
What should I do if Spark stages get stuck?
Check memory settings and repartition the input; the README also notes this in the troubleshooting section.
Are there any plans for additional data sources?
Yes, YouTube video analysis and a public dashboard on Smithery.ai are listed as coming soon.
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