stock-insights-mcp

Bhargavi-hash/stock-insights-mcp

★ 0 stars Python AI/LLM Updated 10d ago

End-to-end system that scores whether a stock looks favorable to buy based on technical, fundamental, and news-sentiment signals, and exposes that score — along with the evidence behind it — to Claude via an MCP server so Claude can produce a human-readable explanation.

View on GitHub → 🔍 Audit Wallet Slippage →

Quick Install

Copy the config for your editor. Some servers may need additional setup — check the README.

Add to claude_desktop_config.json:

{
  "mcpServers": {
    "stock-insights-mcp": {
      "command": "uvx",
      "args": [
        "stock-insights-mcp"
      ]
    }
  }
}

Or install with pip: pip install stock-insights-mcp

README Excerpt

An end-to-end learning project: collect stock market data, engineer features, train an ML model to score whether a stock looks favorable, and expose it all to Claude via an MCP (Model Context Protocol) server so Claude can explain the *why* behind the score. See [`architecture.md`](./architecture.md) for the full system design, key decisions,

stock-insights-mcp

Quick Install

README Excerpt

Related AI/LLM Servers