Findata Mcp — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited Findata Mcp (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 0 flagged
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
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.
<!-- mcp-name: io.github.sapph1re/findata-mcp -->
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-mcpSet your wallet key (any EVM wallet with USDC on Base):
export EVM_PRIVATE_KEY=your_private_key_hereAdd 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, 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.
sec_filing(ticker="AAPL", form_type="10-K"){
"ticker_or_cik": "AAPL",
"form_type": "10-K",
"filing_date": "2025-11-01",
"document_url": "https://www.sec.gov/Archives/...",
"content": "UNITED STATES SECURITIES AND EXCHANGE COMMISSION..."
}Also accepts ticker_or_cik (legacy) or symbol as aliases for ticker.
$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-mcpMIT
~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.