What data sources does FinData MCP use?
It pulls real-time stock data from exchanges, economic indicators from the FRED database, and SEC filings from EDGAR. Cryptocurrency data comes from market aggregators.
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基本信息
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.
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"findata-mcp": {
"command": "uvx",
"args": [
"findata-mcp"
],
"env": {
"EVM_PRIVATE_KEY": "<YOUR_PRIVATE_KEY>"
}
}
}
}Real-time price, volume, change % for NYSE/NASDAQ tickers
`pip install findata-mcp` or `uvx findata-mcp`
FinData MCP is a Model Context Protocol server that provides real-time and fundamental financial data through five tools covering stocks, company fundamentals, economic indicators, SEC filings, and cryptocurrencies. It is designed for AI agents and developers who need programmatic access to financial market data without managing API keys or signing up for services.
Install the package using pip install findata-mcp or uvx findata-mcp. The thin client runs locally and connects to the hosted backend; when your agent calls a tool, it automatically handles a $0.01 USDC payment on Base mainnet and returns the data. No signup, API keys, or self-hosting is required.
It pulls real-time stock data from exchanges, economic indicators from the FRED database, and SEC filings from EDGAR. Cryptocurrency data comes from market aggregators.
No. FinData MCP requires no API keys, signup, or self-hosting. Payments are handled automatically per tool call via x402.
Python 3.8+ is required. The package can be installed via `pip` or run with `uvx`. It communicates with a hosted backend over the internet.
Each tool invocation costs $0.01 USDC on Base mainnet, handled automatically by the x402 payment system.
The server uses HTTP to connect to the hosted backend. Authentication is handled through the x402 payment protocol—no manual credential management needed.

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