💹 Finance MCP — AI Stock & Market Data

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💹 Finance MCP — AI Stock & Market Data

nexgendata/finance-mcp-server

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MCP server for AI agents to access stocks, crypto, forex & portfolio tracking. Connect Claude, GPT or any AI to financial markets. 5 tools for investment intelligence via AI.

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Stephan Corbeil

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7

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3 days ago

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🤖 Finance MCP Server — AI-Native Stock, Fundamentals & Market Data for LLM Agents

Connect Claude, ChatGPT, and custom LLM agents directly to live market data through the Model Context Protocol. A drop-in replacement for the Bloomberg Terminal API, Refinitiv Eikon, and FactSet Web Services — without enterprise contracts or $24K/year seat fees.

Why This MCP Server Beats Bloomberg Terminal, Refinitiv Eikon & FactSet

Feature	NexGenData Finance MCP	Bloomberg Terminal	Refinitiv Eikon	FactSet Web Services
Cost	$0.01 per result, pay-per-event	$24,000 / seat / year	$22,000 / seat / year	$$$$ enterprise contract
AI-agent integration	Native MCP — Claude, ChatGPT, Cursor, n8n	None	None	None
Time-to-first-call	<60 seconds	Sales cycle + hardware	Sales cycle	Sales cycle
Auth	Apify API token	Bloomberg auth + license	Refinitiv auth + license	License key
Coverage	Quotes, fundamentals, news, financials, screener	Equities, FX, fixed income, OTC	Same	Same
Output for LLMs	Structured JSON streamed as MCP tool responses	Custom BBG terminal protocol	EDP API	FactSet API
Headcount required	None	Dedicated terminal operator	Trained analyst	Quant team

This is the only practical way to give an AI agent direct access to live equity / fundamentals data without paying Bloomberg or Refinitiv.

What You Get (tools the agent can call)

• get_quote(symbol) — live price, bid/ask, volume, day range
• get_fundamentals(symbol) — P/E, EPS, market cap, dividend yield, sector, industry
• get_financials(symbol, statement) — income statement, balance sheet, cash flow
• get_news(symbol) — latest news headlines + summaries
• screen_stocks(filters) — multi-criteria screener (market cap, sector, P/E, etc.)
• get_historical(symbol, range) — OHLCV history at daily / weekly resolution
• get_options_chain(symbol) — calls + puts across expiries
• get_earnings(symbol) — upcoming + historical earnings + estimates

Use Cases

• AI equity-research analysts — Claude pulls fundamentals → financials → news → drafts a thesis
• Trading co-pilots — agents that answer "what's the P/E of every semis name under $50B?"
• Robo-advisor backends — LLM tools for portfolio commentary and rebalancing
• Quant data ops — drop in as a Bloomberg replacement for prototyping
• Newsletter automation — agent reads earnings, writes the recap
• Personal finance chatbots — give consumer LLM apps real fundamentals data
• Hedge-fund internal tooling — junior analyst LLM assistants with live data

Quick Start

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")

run = client.actor("nexgendata/finance-mcp-server").call(run_input={

    "tool": "get_quote",

    "params": {"symbol": "NVDA"}

})

for item in client.dataset(run["defaultDatasetId"]).iterate_items():

    print(item)

Or wire it into Claude Desktop's mcp_servers config — every tool auto-registers.

Pricing

Pay-per-event — only pay for results the agent actually retrieves.

• Actor Start: $0.00005 per GB
• Result: $0.01 per dataset item

A typical research-agent chain costs $0.05–$0.50. Compare to $24,000/year for one Bloomberg seat.

Related NexGenData Actors

Use case	Actor
Yahoo Finance quotes + fundamentals via scraper	Yahoo Finance Scraper
Finviz screener with 100+ filters	Finviz Stock Screener
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

FAQ

**Q: Which MCP clients work?**Any MCP-compliant client — Claude Desktop, Cursor, custom LangChain agents, Anthropic SDK code, n8n's MCP node.

**Q: Where does the data come from?**Live aggregation from public market data sources (Yahoo, Finviz, SEC, exchange-direct where available). No stale 15-min caches.

**Q: Is this for production or just prototyping?**Both. Apify runs at scale. Plenty of teams use it as a Bloomberg replacement for non-microsecond use cases.

**Q: Real-time or delayed quotes?**Delayed ~15 minutes for U.S. equities (industry standard for non-licensed feeds). Real-time available on request via custom plan.

**Q: Can I use this for trading?**You can read data with it. We don't execute trades — that's your broker.

**Q: How do I handle rate limits?**Apify handles back-off and retry. You don't tune anything.

**Q: Why MCP vs a normal API?**With MCP the LLM picks tools dynamically — you write zero glue code. With REST you write the tool-calling glue every time.

About NexGenData

NexGenData publishes 260+ buyer-intent actors covering SEC filings, YC alumni, real-estate, lead generation, competitive intelligence, stock fundamentals across 30+ exchanges, and a growing fleet of MCP servers for AI agents. All pay-per-result. Browse the full catalog at https://apify.com/nexgendata?fpr=2ayu9b

---

How NexGenData Pricing Works

Every NexGenData actor uses pay-per-event pricing — you only pay for results that actually land in your dataset. No monthly minimum, no seat fees, no surprise overage bills.

• Actor Start: a single-event charge each time you spin the actor up (scaled to memory size)
• Result: charged per item written to the default dataset
• No charge for retries, internal proxy rotation, or failed sub-requests — those are absorbed by the platform

If you only need the data once a quarter, you only pay once a quarter. If you scale to millions of records, the unit cost stays the same.

Apify Platform Bonus

New to Apify? Sign up with the NexGenData referral link — you get free platform credits on signup (enough for several thousand free results) and you help fund the maintenance of this actor fleet.

Integration Surface

Every actor in the NexGenData catalog can be triggered from:

• Apify console — point-and-click run
• Apify API — REST + webhooks
• Apify Python / JS SDKs — programmatic batch
• Zapier, Make.com, n8n — official integrations
• MCP — many actors are exposed as MCP tools for Claude / ChatGPT / Cursor agents
• Schedules — built-in cron for daily / weekly / monthly runs
• Webhooks — POST results to any HTTPS endpoint on dataset write

Support

NexGenData maintains 260+ Apify actors and ships updates regularly. Bug reports via the Apify console issues tab get a response within 24 hours. Roadmap requests are welcome — high-demand features ship in the next version.

🏠 Home: thenextgennexus.com 📦 Full catalog: apify.com/nexgendata

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