streamable-httpMITupdated 28d ago
Free fundamental analysis of stocks and ETFs for AI agents, powered by Stoxly.
What can you do with stoxly?
Stoxly MCP Server
Free fundamental analysis of stocks and ETFs 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) — and any US-listed ETF against 10 fund criteria (expense ratio, fund size, fund age, holdings, concentration, volatility, 1/3/5-year returns). Each analysis returns a 0–10 score, a descriptive verdict, every underlying metric and a link to the full analysis page.
This is a remote MCP server — nothing to install or run locally.
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_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
Setup
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). 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.
Install
Add stoxly to your client. Pick the one you use.
claude mcp add --transport http stoxly https://www.stoxlyonline.com/api/mcpcodex mcp add stoxly --url https://www.stoxlyonline.com/api/mcp{
"mcpServers": {
"stoxly": {
"url": "https://www.stoxlyonline.com/api/mcp"
}
}
}Add to `~/.cursor/mcp.json`, or `.cursor/mcp.json` for a single project.
{
"servers": {
"stoxly": {
"type": "http",
"url": "https://www.stoxlyonline.com/api/mcp"
}
}
}Add to `.vscode/mcp.json` in your workspace.
{
"mcpServers": {
"stoxly": {
"url": "https://www.stoxlyonline.com/api/mcp"
}
}
}Add to `claude_desktop_config.json`, then restart Claude Desktop.
{
"mcpServers": {
"stoxly": {
"serverUrl": "https://www.stoxlyonline.com/api/mcp"
}
}
}Add to `~/.codeium/windsurf/mcp_config.json`.
2 tools
stoxly exposes 2 tools to a connected agent.
- 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.
Score
70 / 100
Good
- Documentation22/25
- Maintenance19/25
- Trust13/20
- Capability4/15
- Install experience12/15
- Documents what it does and how to connect
- Has a resolvable package or endpoint
- Exposes at least one tool, prompt or resource
- README has substantive content
- Includes a code example
- Documents its configuration
- Mentions credentials or security posture
- Last commit 21 days ago
- Has a release history
- Repository is not archived
- Licensed MIT
- Namespace verified in the official MCP registry
- Claimed by its owner
- Published under an organisation
- 2 tool(s) documented
- Provides prompt templates
- Provides resources
- 6 documented install method(s)
- Published to a package registry
- Offers a hosted endpoint — no local install
Version history
| Versions | Published |
|---|---|
| 1.0.0Latest | Aug 10, 2026 |