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Stock Assistant MCP Server

@shwetha-sundar

リポジトリ

基本情報

カテゴリ

AI とエージェント

トランスポート

stdio

作者

shwetha-sundar

Stock Assistant MCP Server について

概要はまだありません

Stock Assistant MCP Server の設定

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-shwetha-sundar": {
      "command": "uv",
      "args": [
        "venv"
      ]
    }
  }
}

Stock Assistant MCP Server のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

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 Stock Assistant MCP Server?

Stock Assistant MCP Server is a Model Context Protocol (MCP) server that provides real-time stock data, historical analysis, and stock comparisons using the Yahoo Finance API. It uses SSE transport and is authenticated with an API key, targeting developers who integrate stock market data into MCP‑powered applications.

How to use Stock Assistant MCP Server?

Install prerequisites (Python 3.13+, uv), create a virtual environment, install dependencies with uv sync, set the API_KEYS environment variable, and run uv run fastapi dev main.py. Then configure your MCP client (e.g., VS Code) with the server’s SSE URL (http://localhost:8000/sse) and the API key in the request headers.

Key features of Stock Assistant MCP Server

  • Real‑time stock data via Yahoo Finance API
  • Historical stock price analysis
  • Stock comparison across multiple tickers
  • SSE (Server‑Sent Events) transport
  • API‑key authentication
  • Deployable to Azure Container Apps

Use cases of Stock Assistant MCP Server

  • Fetching current stock prices for a portfolio dashboard
  • Analyzing historical trends of a stock over a custom period
  • Comparing financial metrics of two or more companies
  • Providing real‑time market data to an LLM‑based assistant
  • Running a self‑hosted stock data service in cloud containers

よくある質問

1

What data does Stock Assistant MCP Server provide?

It provides real‑time stock data, historical analysis, and stock comparisons sourced from the Yahoo Finance API.

2

What are the system requirements for running the server?

Python 3.13 or later and the `uv` package manager are required.

3

How do I authenticate with the server?

The server requires an API key passed in the `x-api-key` header of SSE requests. You set the key via the `API_KEYS` environment variable.

4

Can I deploy Stock Assistant MCP Server to the cloud?

Yes, it can be deployed to Azure Container Apps using the provided `az containerapp up` command.

5

What transport protocol does the server use?

It uses SSE (Server‑Sent Events) as the communication transport.

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