Finage

@Finage what were AAPL's opening, high, low, and closing prices yesterday? Also show me the trading volume.

Based on the previous close data for AAPL, here's yesterday's trading summary: The stock opened at $178.32, reached a high of $181.45, dipped to a low of $177.89, and closed at $180.67. Trading volume was approximately 52.3 million shares. This represents a gain of 1.3% from the prior session's close. Note that this is illustrative data showing the typical response format—actual values will reflect real market conditions when queried.

This example demonstrates the MCP's ability to fetch historical OHLCV (Open, High, Low, Close, Volume) data for individual stocks. Requires a valid Finage API key with market data access. Data is typically delayed 15 minutes for free-tier keys; real-time access requires a premium subscription. Best used for post-market analysis rather than live trading decisions.

@Finage get me the latest market news related to TSLA and NVDA from the past 24 hours, then summarize the key themes.

Here are recent headlines for TSLA and NVDA: (1) 'Tesla Announces Q4 Delivery Numbers Beat Expectations' - discusses 15% YoY growth in vehicle deliveries. (2) 'NVIDIA Partners with Major Cloud Provider for AI Infrastructure' - covers new enterprise agreements. (3) 'EV Market Faces Headwinds as Incentives Expire' - broader sector analysis. Key themes: Tesla's operational momentum remains strong despite sector challenges, while NVIDIA continues expanding its AI infrastructure footprint through strategic partnerships. Both stocks show divergent sector dynamics—automotive facing policy uncertainty, semiconductors riding AI demand.

This example showcases the MCP's news retrieval capability combined with AI synthesis. The news tool can filter by specific symbols, making it useful for targeted research. Be aware that news freshness depends on Finage's feed latency (typically 5-15 minutes). The AI's summarization adds context but shouldn't replace reading full articles for trading decisions. Rate limits apply: free tiers typically allow 100 requests/day.

@Finage check if the US stock market is currently open, and if it is, get me real-time quotes for SPY, QQQ, and DIA.

The US stock market is currently open (NYSE and NASDAQ trading hours: 9:30 AM - 4:00 PM ET). Here are the latest quotes: SPY is trading at $478.23 (bid) / $478.25 (ask) with bid size 800 and ask size 1,200 shares. QQQ shows $412.67 / $412.69 with sizes 500/900. DIA is at $381.45 / $381.47 with sizes 600/1,100. All timestamps are within the last 30 seconds. This illustrative example shows how the MCP combines market status checks with live quote data to provide actionable trading information.

This example demonstrates chaining two tools: market status verification followed by real-time quote retrieval. The market status tool checks multiple exchanges (NYSE, NASDAQ, etc.) and returns server time for synchronization. Quote data includes bid/ask spreads and depth, critical for execution planning. Free-tier API keys receive delayed quotes (15-20 minutes); real-time access requires paid plans. Always verify market hours before relying on quote freshness.

When Finage beats spreadsheet chaos for small investor groups

A three-person angel syndicate checks their 12-stock portfolio every morning before market open. They used to copy-paste Yahoo Finance data into a shared Google Sheet, which broke whenever someone forgot to update it. Finage's Get Stock Previous Close Data and Get Stock End-of-Day Data tools pull yesterday's OHLCV in one call, and the Get Stock Market Status tool tells them if pre-market data is live yet. This works cleanly for portfolios under 50 stocks where you need yesterday's close and today's snapshot, not tick-by-tick feeds. If your group trades intraday or watches more than 100 symbols, you'll hit rate limits fast and need a dedicated terminal. For morning standup portfolio checks, Finage keeps everyone looking at the same numbers without the spreadsheet version-control nightmare.

Why Finage's news tool matters for competitive intelligence sprints

A four-person B2B SaaS team runs a quarterly competitive-intel sprint where they track public comps' earnings and product announcements. They use Finage's Get Stock Market News filtered by competitor ticker symbols to pull headlines and sentiment into a shared Switchy thread, then cross-reference with Get Stock Historical Data to see if stock moves correlate with feature launches. This beats manually checking six different investor-relations sites because the news tool aggregates by symbol and timestamps everything. The trade-off: Finage's news feed is financial-focused, so if you need product-launch details or customer reviews, you'll still scrape TechCrunch separately. For teams that want a single API call to answer 'what did our public competitors announce this quarter,' Finage closes the loop without building a custom scraper.

When aggregates beat real-time for cash-deployment decisions

A fractional CFO advising three early-stage startups checks market conditions every Monday to decide if clients should deploy cash reserves into index funds or wait. She uses Finage's Get Stock Market Aggregates with weekly multipliers to see if SPY or QQQ had unusual volume or volatility patterns over the past month, then pulls Get Stock Last Quote for current bid-ask spreads before recommending a wire. This scenario works because she's making one decision per week per client, not day-trading. If you're a full-time treasury team rebalancing daily, Finage's 10-tool scope is too narrow and you need Bloomberg. For fractional finance leaders who bill hourly and need a five-minute market check without opening a brokerage app, Finage's aggregate tools answer the 'is now a weird time to buy' question in one API call.