Stocksense
@mikejj-creation
关于 Stocksense
MCP server providing AI agents with access to SEC EDGAR filings, market data, and financial fundamentals
基本信息
配置
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"stocksense": {
"command": "stocksense"
}
}
}工具
13Get historical OHLCV price data for any ticker
Get current price, market cap, P/E, 52-week range
Search SEC EDGAR filings (10-K, 10-Q, 8-K)
Get full text of a specific SEC filing
Get recent insider buys/sells from Form 4 filings
Get income statement, balance sheet, cash flow, and key ratios
Comprehensive research brief aggregating all data sources
Compare key metrics across multiple companies side-by-side
Quarterly earnings history with EPS estimates vs actuals
Company profile: sector, industry, and business description
Dividend history and current yield
Upcoming earnings dates, ex-dividend date, and estimates
Technical indicators: SMA, EMA, RSI, MACD, and performance
概览
What is Stocksense?
Stocksense is an MCP (Model Context Protocol) server that provides AI agents with access to financial data — including SEC EDGAR filings, market fundamentals, insider trades, and price history. It requires no API keys and is intended for developers and analysts integrating financial data into AI workflows.
How to use Stocksense?
Install via pip install stocksense, then add the server to your Claude Desktop configuration file (e.g., claude_desktop_config.json on macOS or Windows). After restarting Claude Desktop, 13 tools become available, such as price_history, quote, search_filings, insider_trades, and technicals. You can then ask natural‑language queries like "What's AAPL's price history for the last month?" or "Show me Apple's recent 10-K filings."
Key features of Stocksense
- 13 financial data tools (price history, quotes, filings, insider trades, financials, etc.)
- Uses free public data from Yahoo Finance and SEC EDGAR
- No API keys or registration required
- Supports comprehensive company analysis and side‑by‑side comparisons
- Retrieves technical indicators, dividend history, and earnings estimates
- Works with Python 3.11+
Use cases of Stocksense
- AI‑powered research briefs on individual stocks (e.g., Tesla or Apple)
- Side‑by‑side comparison of key metrics across companies (e.g., AAPL, MSFT, GOOGL)
- Retrieval of historical price data and technical indicators for analysis
- Monitoring insider trades and upcoming corporate events (earnings, ex‑dividend dates)
FAQ from Stocksense
What data sources does Stocksense use?
Stocksense pulls price data, quotes, financial statements, and analyst consensus from yfinance, and filings and insider trades from SEC EDGAR — both free public sources.
Do I need an API key?
No. Stocksense uses only free, public data sources and does not require any API keys.
What Python version is required?
Stocksense requires Python 3.11 or higher.
Is Stocksense financial advice?
No. The tool is provided for informational purposes only and is not financial advice. Users are responsible for complying with each data provider’s terms of service.
Where can I find the source code?
The source code is hosted on GitHub at github.com/mikejj-creation/stocksense and is licensed under the MIT License.
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