Stocks, fundamentals, FRED economics, SEC filings & crypto. x402 micropayments, $0.01/call.
Stocks, fundamentals, FRED economics, SEC filings & crypto. x402 micropayments, $0.01/call.
Valid MCP server (3 strong, 3 medium validity signals). 2 known CVEs in dependencies Package registry verified. Imported from the Official MCP Registry.
6 files analyzed · 3 issues found
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This plugin requests these system permissions. Most are normal for its category.
Set these up before or after installing:
Environment variable: EVM_PRIVATE_KEY
Environment variable: FINDATA_BACKEND_URL
Add this to your MCP configuration file:
{
"mcpServers": {
"io-github-sapph1re-findata-mcp": {
"env": {
"EVM_PRIVATE_KEY": "your-evm-private-key-here",
"FINDATA_BACKEND_URL": "your-findata-backend-url-here"
},
"args": [
"findata-mcp"
],
"command": "uvx"
}
}
}From the project's GitHub README.
Real-time financial data for AI agents. Stock quotes, company fundamentals, 800,000+ FRED economic indicators, SEC filings, and crypto prices. Pay-per-call ($0.01) via x402 micropayments on Base — no signup or API keys needed.
Financial data for AI agents. Five tools — stocks, fundamentals, economics, SEC filings, crypto — accessible from any MCP client. Pay $0.01 per call, no signup.
Install:
pip install findata-mcp
Set your wallet key (any EVM wallet with USDC on Base):
export EVM_PRIVATE_KEY=your_private_key_here
Add to Claude Desktop — edit ~/Library/Application Support/Claude/claude_desktop_config.json:
{
"mcpServers": {
"findata-mcp": {
"command": "findata-mcp",
"env": {
"EVM_PRIVATE_KEY": "your_private_key_here"
}
}
}
}
Add to Cursor — edit .cursor/mcp.json in your project root:
{
"mcpServers": {
"findata-mcp": {
"command": "findata-mcp",
"env": {
"EVM_PRIVATE_KEY": "your_private_key_here"
}
}
}
}
Restart your client. You now have five financial data tools available.
| Tool | What it returns | Cache |
|---|---|---|
stock_quote(ticker) | Price, volume, change %, market cap | 1 min |
company_fundamentals(ticker) | Revenue, P/E, sector, beta, dividend yield, description | 1 hr |
economic_indicator(series_id) | 800,000+ FRED series (GDP, CPI, rates, yield curves) | 6 hr |
sec_filing(ticker_or_cik, form_type) | Full text of 10-K, 10-Q, 8-K from SEC EDGAR | 24 hr |
crypto_price(coin_id) | Price, market cap, 24h volume, 7-day sparkline | 1 min |
stock_quote(ticker="NVDA")
{
"ticker": "NVDA",
"price": 878.35,
"change": 12.40,
"change_pct": 1.43,
"volume": 41200000,
"market_cap": 2150000000000,
"currency": "USD"
}
company_fundamentals(ticker="AAPL")
{
"ticker": "AAPL",
"name": "Apple Inc.",
"sector": "Technology",
"market_cap": 3280000000000,
"pe_ratio": 33.2,
"revenue": 383285000000,
"beta": 1.24,
"dividend_yield": 0.0044
}
economic_indicator(series_id="FEDFUNDS")
{
"series_id": "FEDFUNDS",
"title": "Federal Funds Effective Rate",
"units": "Percent",
"frequency": "Monthly",
"latest_value": 4.33,
"latest_date": "2026-02-01"
}
Common FRED series: GDP, CPIAUCSL (inflation), UNRATE (unemployment), DGS10 (10-year Treasury), FEDFUNDS.
$0.01 per call. No signup, no API keys, no monthly fees.
Payment happens automatically via x402 — an open micropayment protocol. Your MCP client signs a USDC transfer on Base mainnet for each call. You need:
EVM_PRIVATE_KEY)That's it. No accounts, no rate limits, no billing pages.
The pip install package is a thin MCP stdio server. It proxies your tool calls to a hosted backend, automatically handling x402 payment signing. Data comes from Yahoo Finance, FRED, SEC EDGAR, and CoinGecko.
Your AI agent → findata-mcp (local stdio) → Backend (Railway) → Data providers
signs x402 payment verifies payment
| Variable | Required | Default | Description |
|---|---|---|---|
EVM_PRIVATE_KEY | Yes | — | Wallet private key with USDC on Base |
FINDATA_BACKEND_URL | No | Production URL | Override for self-hosted backend |
uvx (no install needed):
uvx findata-mcp
PyPI: findata-mcp
Glama: live
mcp.so: live
Official MCP Registry: pending review
PyPI: live
MIT
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