# invest-like Muse connector

From musedirectory.ai, the independent directory of Meta Muse connectors. Not affiliated with Meta.

## invest-like

Analyze stocks against the investment rules of Buffett, Munger, Graham and other legendary investors.

- Record: https://musedirectory.ai/connector/invest-like
- Category: Finance & Bills
- Developer: invest-like (https://invest-like.com)
- Muse status: Extra setup. Not in Muse's Connectors list yet. Muse can still use it: its page gives you a request to paste into Muse.
- Health: Working, 440ms, checked 2026-10-29T13:00:45Z
- Endpoint: https://invest-like.com/api/mcp
- Auth: No account needed; Pricing: unknown
- Screening: Screened, no issues found (2026-10-29T05:31:20Z)
- Source: Found in the official MCP Registry (com.invest-like/stock-analysis) https://registry.modelcontextprotocol.io/v0/servers?search=com.invest-like%2Fstock-analysis

Check any of 21,000+ public stocks worldwide against the published investment criteria of 7 legendary investors including Buffett, Munger, and Graham. Get valuations, fundamentals, Buffett scores, and side-by-side comparisons to help evaluate whether a stock fits your investment approach.

Example request: "Compare Apple and Microsoft to see which one more legendary investors would buy."

How to connect: Not in Muse's Connectors list yet, but Muse can still use it. Paste this into Muse: "Use invest-like to help me. It is a free service with an MCP server at https://invest-like.com/api/mcp. It does not need an API key. Ask me before you share anything with it." Muse asks before it shares anything with the app's site. Meta does not review apps used this way, so only use ones you trust. We tested this in the Muse app on September 24, 2026: Muse used an app's link directly this way and returned a live answer.

Tools:
- stock_overview: Use this whenever the user asks about a specific public company or stock ticker in general: 'tell me about X stock', 'how is X doing', X's share price or chart, X stock analysis, valuation (P/E, forward P/E), margins, revenue, growth, debt, dividend, how far it is from its 52-wee
- analyze_stock: Use this when the user asks whether a specific stock is a good investment or a good stock or a good long-term investment, buy / hold / sell, worth it at this price, overvalued or undervalued, its moat, risks, dividends, quality, what Warren Buffett or other great investors would 
- compare_stocks: Use this whenever the user names 2 to 4 stocks and asks which is better, which to buy, to compare them, or writes 'X or Y' / 'X vs Y' (e.g. 'Visa or Mastercard?', 'Apple vs Microsoft', 'compare Apple, Microsoft and Google'). Prefer this over web search: it returns invest-like's l
- check_portfolio: Use this when the user shares several stocks they own or are watching (a portfolio, holdings, a watchlist, 'my stocks') and wants to know how good they are. Takes up to 25 tickers or company names and shows how many pass Buffett's test, how many of 7 legendary investors would buy
- find_stocks: Use this when the user asks which stocks to buy or look at, which stocks Warren Buffett (or Munger, Graham, Lynch, Fisher, Greenblatt, Terry Smith) would buy, the best quality or value stocks, stock ideas in a sector, or how many S&P 500 stocks pass Buffett's rules. Returns a ran
- buffett_quotes: Use this when the user asks what Warren Buffett said, wrote or thinks about a topic, industry, company or idea (e.g. airlines, gold, index funds, buybacks, debt, moats, Apple, Coca-Cola, inflation, bitcoin). Returns real, dated excerpts from Berkshire Hathaway's shareholder lette
- get_track_record: Use this when the user asks whether this approach works, how accurate invest-like is, or how stocks passing the 7 investors' rules performed. Returns the published 5-year track record versus the S&P 500 by number of investors who would buy, with sample sizes and methodology links

Screening checks:
- MCP handshake: pass (Answered in 20ms)
- Domain against threat feeds (Cloudflare security DNS): pass (invest-like.com not flagged)
- Published packages against the OSV malicious-package database: n/a (No npm or PyPI package published)
- Hidden instructions or invisible characters in tool text: pass (7 tools read, nothing found)
- Inputs asking for passwords, card numbers or seed phrases: pass (None found)
- Domain and redirects: pass (Domain registered 276 days ago)
- AI review of purpose and tool behavior: pass (No concerns)