Financial data for AI agents: SEC filings, price history, insider trades, and more.
Financial data for AI agents: SEC filings, price history, insider trades, and more.
Valid MCP server (1 strong, 4 medium validity signals). 3 known CVEs in dependencies (0 critical, 3 high severity) Package registry verified. Imported from the Official MCP Registry.
10 files analyzed · 4 issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
Add this to your MCP configuration file:
{
"mcpServers": {
"io-github-mikejj-creation-stocksense": {
"args": [
"stocksense"
],
"command": "uvx"
}
}
}From the project's GitHub README.
An MCP (Model Context Protocol) server that gives AI agents access to financial data — SEC EDGAR filings, market fundamentals, insider trades, and price history. No API keys needed.
pip install stocksense
Add to your Claude Desktop config:
macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
Windows: %APPDATA%\Claude\claude_desktop_config.json
{
"mcpServers": {
"stocksense": {
"command": "stocksense"
}
}
}
Quit and reopen Claude Desktop. You should see the hammer icon with 13 tools available.
| Tool | Description |
|---|---|
price_history | Get historical OHLCV price data for any ticker |
quote | Get current price, market cap, P/E, 52-week range |
search_filings | Search SEC EDGAR filings (10-K, 10-Q, 8-K) |
get_filing | Get full text of a specific SEC filing |
insider_trades | Get recent insider buys/sells from Form 4 filings |
financials | Get income statement, balance sheet, cash flow, and key ratios |
analyze_company | Comprehensive research brief aggregating all data sources |
compare_companies | Compare key metrics across multiple companies side-by-side |
earnings | Quarterly earnings history with EPS estimates vs actuals |
company_profile | Company profile: sector, industry, and business description |
dividends | Dividend history and current yield |
key_events | Upcoming earnings dates, ex-dividend date, and estimates |
technicals | Technical indicators: SMA, EMA, RSI, MACD, and performance |
# Clone and install for development
git clone https://github.com/mikejj-creation/stocksense.git
cd stocksense
pip install -e ".[dev]"
# Run tests
pytest
# Run linter
ruff check src/ tests/
StockSense uses free public data from Yahoo Finance and SEC EDGAR. Users are responsible for complying with each provider's terms of service. This tool is for informational purposes only — not financial advice.
MIT
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