Advanced Stock Market Analysis Server
@edenmargolis
About Advanced Stock Market Analysis Server
No overview available yet
Config
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"Advanced-Stock-Market-Analysis-MCP-Server": {
"command": "uv",
"args": [
"pip",
"install",
"-r",
"requirements.txt"
]
}
}
}Tools
No tools detected
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
Overview
What is Advanced Stock Market Analysis Server?
A powerful, extensible server built using the Model Context Protocol (MCP) and yfinance for advanced stock market analysis. It provides a suite of tools for retrieving, analyzing, comparing stock data, and performing sector and market sentiment analysis. Designed for developers and analysts who need live financial data and technical indicators via an MCP-compatible client.
How to use Advanced Stock Market Analysis Server?
Clone the repository, install dependencies with uv pip install -r requirements.txt, then start the server with uv run mcp install main.py. Interact using any MCP-compatible client (e.g., Claude, Cursor) by making tool calls such as { "ticker": "AAPL" } to get stock info.
Key features of Advanced Stock Market Analysis Server
- Retrieve basic stock info (name, price, market cap, P/E)
- Fetch historical price and volume data with error handling
- Technical trend analysis: moving averages, RSI, MACD, Bollinger Bands
- Quantitative risk metrics: volatility, Sharpe ratio, beta, VaR
- Compare multiple stocks on key metrics and performance
- Analyze sector performance and market sentiment using indices and VIX
Use cases of Advanced Stock Market Analysis Server
- Perform technical analysis on a stock's price trend
- Assess risk and volatility of individual securities
- Compare the performance of several stocks side-by-side
- Evaluate sector-level performance across major market sectors
- Gauge overall market sentiment using the VIX and major indices
- Scrape latest stock news headlines for sentiment analysis
FAQ from Advanced Stock Market Analysis Server
What data sources does the server use?
All stock data is fetched live from Yahoo Finance via yfinance. News headlines and URLs are scraped from Finviz for the get_stock_news tool.
What are the runtime and dependency requirements?
The server requires Python 3.8+ and relies on yfinance, fastapi, requests, and beautifulsoup4. Dependencies are listed in requirements.txt.
How does the server handle errors or network issues?
Built-in error handling and retry logic ensure robust operation when fetching data or scraping news.
What transport or authentication does the server support?
The server runs as a standard MCP tool server—no authentication details are provided in the README. It is designed to be used with any MCP-compatible client.
Is there a recommended prompt for analyzing news sentiment?
The README suggests using the prompt: “Get the latest news of {{ticker}} stock. For each article, read the full content, assess whether the sentiment is positive, negative, or neutral, and then write a summary of the overall sentiment and your conclusions.”
Frequently asked questions
What data sources does the server use?
All stock data is fetched live from Yahoo Finance via yfinance. News headlines and URLs are scraped from Finviz for the `get_stock_news` tool.
What are the runtime and dependency requirements?
The server requires Python 3.8+ and relies on yfinance, fastapi, requests, and beautifulsoup4. Dependencies are listed in `requirements.txt`.
How does the server handle errors or network issues?
Built-in error handling and retry logic ensure robust operation when fetching data or scraping news.
What transport or authentication does the server support?
The server runs as a standard MCP tool server—no authentication details are provided in the README. It is designed to be used with any MCP-compatible client.
Is there a recommended prompt for analyzing news sentiment?
The README suggests using the prompt: “Get the latest news of {{ticker}} stock. For each article, read the full content, assess whether the sentiment is positive, negative, or neutral, and then write a summary of the overall sentiment and your conclusions.”
Basic information
More Finance & Commerce MCP servers
Stoxly
wizard-exeRemote MCP server for free stock & ETF fundamental analysis — 10-point score, verdict and metrics for any ticker
InvestSights Indian Stock Research MCP
InvestSightsResearch-grade Indian stock data (NSE/BSE) — fundamentals, forensic accounting scores, DCF valuation, screening, prices & news for 4,800+ stocks.
Cliometry
CliometryLive Korean market measurements for AI agents — SK Hynix ADR premium, realized leverage multiples for KODEX/SOXL/TQQQ, VIX regime, Korean semiconductor sector RRG. Pre-computed daily values, structured responses, CC BY 4
GoLeasy MCP
Der GoLeasy MCP-Server verbindet KI-Assistenten direkt mit der GoLeasy-Vergleichsplattform für Leasing-Angebote. Einfach im Chat beschreiben, was man sucht, anstatt selbst zu suchen und zu filtern - die KI ruft den Serve
Synci
SynciSynci connects your real bank, brokerage, and crypto-exchange accounts to AI assistants, read-only. Ask about balances, transactions, holdings, and spending across all your accounts in one place.
Comments