Finance Toolkit
500+ transparent financial methods calculated from raw statements, not third-party endpoints.
Description from the maker (original English)
Financial data for AI agents: SEC filings, price history, insider trades, and more.
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
You need
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Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"stocksense": {
"command": "uvx",
"args": [
"stocksense"
]
}
}
}Run this in your terminal
claude mcp add stocksense -- uvx stocksensePaste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"stocksense": {
"command": "uvx",
"args": [
"stocksense"
]
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Paste into .vscode/mcp.json in your project
{
"servers": {
"stocksense": {
"type": "stdio",
"command": "uvx",
"args": [
"stocksense"
]
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
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These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Runs on your computer; the tool list appears in your AI app after you install it.
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 8, 2026
The registry name was verified with the GitHub account mikejj-creation, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
The registry does not list a required key, though some servers ask you to sign in on first use.
It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).
The GitHub repo last changed –, and the latest version (0.1.1) reached the registry 7 months ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.
In the same category: Finance Toolkit, SolidInvoice, Korea Tax Calculator
Servers in the same category from other makers, sorted by stars.
Reading a card:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
500+ transparent financial methods calculated from raw statements, not third-party endpoints.
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Korean tax calculation and tax-audit judgment MCP: 96 tools with statutory citations.
Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.
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]"
pytest
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