Finance MCP Server — Stock Data, Screener, Crypto & FX for AI
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from $10.00 / 1,000 results
Finance MCP Server — Stock Data, Screener, Crypto & FX for AI
MCP server giving AI agents (Claude, Cursor, n8n) live market data via five tools: get_stock_data (price, P/E, market cap, dividend yield via Yahoo Finance), screen_stocks (Finviz), get_crypto_prices (CoinGecko), get_exchange_rates and track_crypto_portfolio. Pay-per-result Bloomberg alternative.
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from $10.00 / 1,000 results
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💹 Finance MCP Server — Stock Data, Screener, Crypto & FX for AI Agents
Give Claude, Cursor, or any MCP agent live market data without a Bloomberg seat or a vendor API key. This Model Context Protocol server exposes five tools so an AI agent can pull a stock's price and fundamentals, screen US equities, check crypto prices, and read FX rates inside one reasoning chain — a pay-per-result alternative to the $24K/year terminal for non-microsecond use cases.
What this MCP server does
Live equity, crypto, and currency data is scattered across Yahoo Finance, Finviz, CoinGecko, and FX feeds — each with its own API. This server aggregates them behind one MCP connection and returns clean JSON, so an agent picks the right tool and reasons over the result with zero glue code. Base Claude or GPT cannot fetch any of this live; this returns verified current data.
Tools exposed via MCP
This server exposes five tools:
get_stock_data— stock market data for atickerfrom Yahoo Finance: price, volume, market cap, P/E ratio, dividend yield, and historical data.screen_stocks— screen US stocks with the Finviz screener (screener_url,max_results): filter by market cap, sector, P/E, and other metrics.get_crypto_prices— cryptocurrency prices and market data from CoinGecko (coins,max_results): price, market cap, 24h change, volume.get_exchange_rates— current currency exchange rates for major world currencies (base_currency).track_crypto_portfolio— real-time prices for a portfolio of coins (coins): current prices, 24h changes, and market caps.
Each tool returns clean structured JSON the agent can reason over and chain across calls.
Why this beats a Bloomberg seat for AI workflows
| Feature | NexGenData Finance MCP | Bloomberg Terminal | Single-vendor stock API |
|---|---|---|---|
| AI-agent integration | Native MCP (Claude, Cursor, n8n) | None | Build it yourself |
| Time-to-first-call | Under 60 seconds | Sales cycle + hardware | API key + glue code |
| Stock data + fundamentals (P/E, market cap, yield) | Yes (get_stock_data) | Yes | Varies |
| US equity screener | Yes (screen_stocks) | Yes | Rarely |
| Crypto prices + portfolio tracking | Yes | Limited | Separate vendor |
| FX rates | Yes | Yes | Separate vendor |
| Auth | Apify API token | Bloomberg license | Vendor API key |
For prototyping and non-microsecond research, this gives an AI agent direct market data without an enterprise contract.
Use cases
- AI equity-research analyst — pull
get_stock_data, screen comparables withscreen_stocks, draft a thesis. - Trading co-pilot — answer "screen semis under $50B by P/E" via
screen_stocks. - Crypto dashboard agent —
get_crypto_prices+track_crypto_portfoliofor live portfolio commentary. - FX-aware finance chatbot — convert and quote currencies with
get_exchange_rates. - Bloomberg replacement for prototyping — wire real stock fundamentals into an LLM app without a seat license.
Connect to Claude Desktop
{"mcpServers": {"nexgendata-finance": {"url": "https://nexgendata--finance-mcp-server.apify.actor/mcp","headers": { "Authorization": "Bearer YOUR_APIFY_TOKEN" }}}}
Sample call and response
Get stock data for a ticker:
{"name": "get_stock_data","arguments": { "ticker": "NVDA" }}
{"text": "Retrieved stock data for NVDA","structuredContent": {"ticker": "NVDA","data": [{"symbol": "NVDA","price": 131.26,"marketCap": 3210000000000,"peRatio": 48.2,"dividendYield": 0.0003,"volume": 198000000,"dayRange": "128.10 - 133.40"}]}}
FAQ
Which MCP clients work? Any MCP-compliant client — Claude Desktop, Cursor, custom LangChain agents, Anthropic SDK code, and n8n's MCP node.
Where does the data come from? Live aggregation from public market data sources — Yahoo Finance, Finviz, CoinGecko, and FX feeds — fetched at call time.
Real-time or delayed quotes? US equity quotes are delayed roughly 15 minutes (industry standard for non-licensed feeds). Crypto and FX are current.
Is this a Bloomberg alternative? For AI-agent prototyping and non-microsecond research, yes — it gives an agent live stock fundamentals, a screener, crypto, and FX without a terminal seat.
Why MCP vs a normal API? With MCP the LLM picks tools dynamically — you write zero tool-calling glue. With REST you build the integration every time.
Related NexGenData actors
| Use case | Actor |
|---|---|
| Yahoo Finance quotes + fundamentals via scraper | Yahoo Finance Scraper |
| Finviz screener with 100+ filters | Finviz Stock Screener |
| Recently funded startups (SEC Form D + TechCrunch + YC) | Startup Funding Tracker |
| Upcoming IPOs | IPO Tracker |
| Earnings calendar with estimates | Earnings Calendar |
| Treasury yield curve + bond data | Treasury Yields & Bonds |
| ETF holdings | ETF Holdings Tracker |
| FX rates real-time | FX Rates Tracker |
| AI-callable real-estate data | Real Estate MCP Server |
| AI-callable news data | News MCP Server |
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