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Market Insights Server MCP Server

@jashchawla8

Basic information

Category

Finance & Commerce

Transports

stdio

Author

jashchawla8

About Market Insights Server MCP Server

No overview available yet

Market Insights Server MCP Server config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "mcp-server-jashchawla8": {
      "command": "python",
      "args": [
        "spark_market_insights_server.py",
        "--commodity",
        "nickel"
      ]
    }
  }
}

Market Insights Server MCP Server tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

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

Frequently asked questions

1

What Python version is required?

Python 3.x is required, with PySpark 3.5.0 and other dependencies listed in `requirements.txt`.

2

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.

3

How does the AI insight layer work?

It uses OpenAI GPT‑4 to summarize and synthesize market narratives into a human‑readable report.

4

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.

5

Are there any plans for additional data sources?

Yes, YouTube video analysis and a public dashboard on Smithery.ai are listed as coming soon.

Comments

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