Yes, Stocksense is free to use.

How do I install Stocksense?

Stocksense is a local plugin. Install it using PyPI package: stocksense and add the generated configuration snippet to your AI app's MCP config file. Then restart your AI app.

Is Stocksense safe to use?

Yes. Stocksense passed MCP Marketplace's automated security scan with a score of 7/10 (low risk). Every server on MCP Marketplace is security-scanned before it's listed; see the full security report on this page for the findings and permissions.

What AI apps work with Stocksense?

Stocksense uses the Model Context Protocol (MCP) and works with any MCP-compatible AI app, including Claude, ChatGPT / Codex, Gemini, Copilot, Cursor, and more.

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Stocksense MCP Server

by Yunhan Jin

Developer ToolsModerate7.0Local

Free

Financial data for AI agents: SEC filings, price history, insider trades, and more.

About

Financial data for AI agents: SEC filings, price history, insider trades, and more.

Security Report

7.0

Moderate7.0Low Risk

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.

How to Install

Add this to your MCP configuration file:

{
  "mcpServers": {
    "io-github-mikejj-creation-stocksense": {
      "args": [
        "stocksense"
      ],
      "command": "uvx"
    }
  }
}

Documentation

View on GitHub

From the project's GitHub README.

StockSense

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.

Quick Start

1. Install

pip install stocksense

2. Add to Claude Desktop

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"
    }
  }
}

3. Restart Claude Desktop

Quit and reopen Claude Desktop. You should see the hammer icon with 13 tools available.

Available Tools

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

Example queries

"What's AAPL's price history for the last month?"
"Get me a quote for MSFT"
"Show me TSLA's weekly prices over the past year"
"Show me Apple's recent 10-K filings"
"What insider trades happened at Tesla recently?"
"Show me Apple's financial statements"
"Give me a research brief on Tesla"
"Compare AAPL, MSFT, and GOOGL"
"Show me Apple's earnings history"
"What sector is NVIDIA in?"
"Show me AAPL's dividend history"
"When is Microsoft's next earnings date?"
"What are Tesla's technical indicators?"

Data Sources

yfinance — price data, quotes, financial statements, analyst consensus
SEC EDGAR — free, unlimited filings and insider trades (no API key needed)

Requirements

Python 3.11+
No API keys needed — uses free public data sources

Development

# 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/

Disclaimer

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.