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Stoxly MCP Server

Developer ToolsLow Risk10.0MCP RegistryRemote
Free

Server data from the Official MCP Registry

Free stock, ETF & crypto analysis: 10-point score, verdict and key metrics for any ticker.

About

Free stock, ETF & crypto analysis: 10-point score, verdict and key metrics for any ticker.

Remote endpoints: streamable-http: https://www.stoxlyonline.com/api/mcp

Security Report

10.0
Low Risk10.0Low Risk

Valid MCP server (3 strong, 3 medium validity signals). No known CVEs in dependencies. Imported from the Official MCP Registry.

3 tools verified · Open access · No issues found

Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.

Permissions Required

This plugin requests these system permissions. Most are normal for its category.

HTTP Network Access

Connects to external APIs or services over the internet.

env_vars

Check that this permission is expected for this type of plugin.

How to Connect

Remote Plugin

No local installation needed. Your AI client connects to the remote endpoint directly.

Add this to your MCP configuration to connect:

{
  "mcpServers": {
    "io-github-wizard-exe-stoxly": {
      "url": "https://www.stoxlyonline.com/api/mcp"
    }
  }
}

Documentation

View on GitHub

From the project's GitHub README.

Stoxly MCP Server

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Free stock, ETF and crypto analysis for AI agents, powered by Stoxly.

Stoxly evaluates any publicly traded company against a 10-point fundamental checklist (P/E, PEG, price/book, revenue growth, ROE, operating margin, return on assets, quick ratio, debt/equity, free cash flow yield) — any US-listed ETF against 10 fund criteria (expense ratio, fund size, fund age, holdings, concentration, volatility, 1/3/5-year returns) — and any crypto-asset listed on CoinGecko or CoinPaprika against 10 crypto criteria (market cap, market cap rank, 24h volume/market cap, exchange count, supply issued, project age, developer commits, volatility, 1/3-year returns). Each analysis returns a 0–10 score, a descriptive verdict, every underlying metric and a link to the full analysis page.

Available as a remote MCP server (Streamable HTTP, nothing to install) and as a stdio server (server.js, for clients and platforms that run MCP servers as a local process — e.g. Glama, Docker).

Docs: https://www.stoxlyonline.com/mcp

Endpoint

https://www.stoxlyonline.com/api/mcp
  • Transport: Streamable HTTP
  • Authentication: none
  • Rate limit: 30 tool calls per IP per hour

Tools

  • analyze_stock - Fundamental analysis of a publicly traded stock. Returns a 0-10 fundamental score, a descriptive verdict, 10 per-criterion checks, all underlying metrics and a link to the full analysis page.
  • analyze_etf - Analysis of a US-listed ETF. Returns a 0-10 fund score, a descriptive verdict, 10 per-criterion checks, all underlying metrics and a link to the full analysis page.
  • analyze_crypto - Analysis of a crypto-asset (coin or token). Returns a 0-10 crypto score, a descriptive verdict, 10 per-criterion checks, all underlying metrics and a link to the full analysis page.

analyze_stock

Fundamental analysis of a publicly traded stock. Returns company name, price, the 10-point score, a descriptive verdict, per-criterion checks (P/E, PEG, price/book, revenue growth, ROE, operating margin, return on assets, quick ratio, debt/equity, free cash flow yield), all metric values and the canonical analysis URL. null means a metric was unavailable — never treat it as 0.

Parameters:

  • symbol (string, required): Ticker in Yahoo Finance format, e.g. AAPL, BRK-B, SAP.DE

analyze_etf

Analysis of a US-listed ETF. Returns fund name, price, the 10-point score, verdict, per-criterion checks (expense ratio, fund size, fund age, holdings, concentration, volatility, 1/3/5-year returns), all metric values and the canonical analysis URL.

Parameters:

  • symbol (string, required): Ticker, e.g. VOO, QQQ, SCHD

analyze_crypto

Analysis of a crypto-asset (coin or token). Returns coin name, price, the 10-point score, verdict, per-criterion checks (market cap, market cap rank, 24h volume/market cap, exchange count, supply issued, project age, developer commits, volatility, 1-year and 3-year returns), all metric values and the canonical analysis URL. Unknown symbols return an error.

Parameters:

  • symbol (string, required): Crypto ticker symbol, e.g. BTC, ETH, SOL (a -USD suffix is accepted)

Setup

Local stdio server

git clone https://github.com/wizard-exe/Stoxly-mcp.git
cd Stoxly-mcp
npm ci
node server.js

Or with Docker:

docker build -t stoxly-mcp .
docker run -i --rm stoxly-mcp

MCP client config (stdio):

{
  "mcpServers": {
    "stoxly": {
      "command": "node",
      "args": ["/path/to/Stoxly-mcp/server.js"]
    }
  }
}

The stdio server fetches the scored analysis from https://www.stoxlyonline.com/api/analyze (type=stock|etf|crypto, same 30 requests per IP per hour limit). No API key or environment variables are required.

Claude Code

claude mcp add --transport http stoxly https://www.stoxlyonline.com/api/mcp

Claude (Desktop / claude.ai)

Settings → Connectors → Add custom connector → URL: https://www.stoxlyonline.com/api/mcp

Cursor / other MCP clients

{
  "mcpServers": {
    "stoxly": {
      "url": "https://www.stoxlyonline.com/api/mcp"
    }
  }
}

Example

"Analyze AAPL's fundamentals"

The agent calls analyze_stock with {"symbol": "AAPL"} and receives:

{
  "symbol": "AAPL",
  "companyName": "Apple Inc.",
  "score": "7/10 criteria met",
  "verdict": "Strong Fundamentals",
  "checks": { "revenueGrowth": true, "peRatio": false, "...": "..." },
  "metrics": { "peRatio": 33.2, "roe": 104.2, "...": "..." },
  "url": "https://www.stoxlyonline.com/analysis/AAPL"
}

Data & methodology

Data is aggregated from Financial Modeling Prep, Yahoo Finance, Finnhub and Alpha Vantage, plus official regulatory filings (SEC EDGAR for US filers, ESEF/UKSEF via filings.xbrl.org for Europe/UK). Crypto market, supply and developer data comes from CoinGecko with CoinPaprika as fallback; crypto price history from Yahoo Finance. Scoring thresholds are documented at stoxlyonline.com/about and in llms-full.txt.

Disclaimer

For educational purposes only — not financial advice. Data may be delayed.

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