Alphavantage

live FinanceData

Alpha Vantage MCP — Stock market data, fundamentals, and earnings

6 tools
0ms auth
free tier 50 calls/day

Tools

av_quote

Get a real-time stock quote including price, change, change percent, volume, and latest trading day.

No parameters required.

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av_daily

Get daily time series (open, high, low, close, volume) for a stock. Returns up to 100 recent trading days by default, or 20+ years of full history.

No parameters required.

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av_overview

Get company overview and fundamentals including description, sector, market cap, P/E ratio, EPS, dividend yield, 52-week range, and more.

No parameters required.

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av_income_statement

Get income statement data for a company, including both annual and quarterly reports. Shows revenue, gross profit, operating income, net income, EBITDA, and more.

No parameters required.

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av_balance_sheet

Get balance sheet data for a company, including both annual and quarterly reports. Shows total assets, liabilities, equity, cash, debt, and more.

No parameters required.

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av_earnings

Get earnings data for a company, including annual and quarterly EPS (reported and estimated), surprise amount, and surprise percentage.

No parameters required.

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Test with curl

The gateway speaks JSON-RPC 2.0 over HTTP POST. You can test any pack directly from the terminal.

List available tools
bash
curl -X POST https://gateway.pipeworx.io/alphavantage/mcp \
  -H "Content-Type: application/json" \
  -d '{"jsonrpc":"2.0","id":1,"method":"tools/list"}'
Call a tool
bash
curl -X POST https://gateway.pipeworx.io/alphavantage/mcp \
  -H "Content-Type: application/json" \
  -d '{"jsonrpc":"2.0","id":2,"method":"tools/call","params":{"name":"av_quote","arguments":{}}}'

Use with the SDK

Install @pipeworx/sdk to call tools from any TypeScript/Node project.

TypeScript
import { Pipeworx } from '@pipeworx/sdk';
const px = new Pipeworx();
const result = await px.call("av_quote", {});
ask_pipeworx
// Or ask in plain English:
const answer = await px.ask("alpha vantage mcp — stock market data, fundamentals, and earnings");

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