FinData MCP
FinData MCP gives AI agents access to market data, company fundamentals, and macroeconomic indicators via MCP. It covers stocks, ETFs, crypto, forex, commodities, and economic time series.
README
FinData MCP
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.
Quick Start
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.
Tools
| 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 |
Examples
Get a stock quote
stock_quote(ticker="NVDA")
{
"ticker": "NVDA",
"price": 878.35,
"change": 12.40,
"change_pct": 1.43,
"volume": 41200000,
"market_cap": 2150000000000,
"currency": "USD"
}
Look up company fundamentals
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
}
Check an economic indicator
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.
Pricing
$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:
- An EVM wallet private key (set as
EVM_PRIVATE_KEY) - A small USDC balance on Base mainnet (~$1 covers 100 calls)
That's it. No accounts, no rate limits, no billing pages.
How It Works
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
Configuration
| 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 |
Alternative Install Methods
uvx (no install needed):
uvx findata-mcp
Distribution Status
-
PyPI: findata-mcp
-
Glama: live
-
mcp.so: live
-
Official MCP Registry: pending review
-
PyPI: live
License
MIT
推荐服务器
Baidu Map
百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。
Playwright MCP Server
一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。
Magic Component Platform (MCP)
一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。
Audiense Insights MCP Server
通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。
VeyraX
一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。
graphlit-mcp-server
模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。
Kagi MCP Server
一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。
e2b-mcp-server
使用 MCP 通过 e2b 运行代码。
Neon MCP Server
用于与 Neon 管理 API 和数据库交互的 MCP 服务器
Exa MCP Server
模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。