Twelve Data MCP. Analyze market indicators; pull historical OHLCV data instantly.

When you connect your AI agent to this MCP Server, you get instant access to financial market data. This server lets you pull real-time figures and run complex analyses across stocks, crypto pairs, forex rates, and more without having to write any boilerplate code for the API calls.

To start analyzing, you need to identify what you're looking at. You can use search_symbols to broadly search for any financial instrument by filtering it by type or exchange name, or you can narrow your focus immediately. If you know you want stocks, run get_stock_list, and if crypto is the play, get_crypto_list gives you all the available pairs—you even get to filter those by exchange.

For foreign currency trades, get_forex_list lists every pair available.

Once you've got your symbols locked down, you can get current pricing data fast. You use get_real_time_price when you just need the fastest possible price point for an asset. When you want a full snapshot—the open, high, low, volume, and current market price—you run get_quote. For companies, you don't have to guess; get_company_profile pulls fundamental data like the market capitalization or P/E ratio.

If you need historical context for your analysis, you pull it with get_time_series. This tool fetches OHLCV candle data for any asset across an adjustable timeframe, letting you choose intervals from one minute all the way out to a full month. You're not limited by time; you can set that range yourself.

Calculating technical indicators is where this thing really shines. Instead of manually calculating metrics, your agent runs these tools: get_sma computes the Simple Moving Average (SMA) over common periods like 20, 50, or 200 days. For something smoother, get_ema calculates the Exponential Moving Average (EMA), which gives more weight to recent price movements than older data points.

You can check momentum using get_macd, which computes the Moving Average Convergence Divergence (MACD) for trend change measurement. To see if a stock is overbought or oversold, you run get_rsi to get the Relative Strength Index (RSI); it flags anything above 70 as potentially overheated or below 30 as weak.

For volatility checks, get_bollinger_bands calculates Bollinger Bands, telling you if a price is way outside its normal range relative to its average. If you want to measure where the current price closed within its recent trading range, use get_stochastic for the Stochastic Oscillator; it signals extremes when prices hit 80 or drop below 20.

When your analysis involves money moving across borders, this server handles it. You can get the current exchange rate between any two currencies using get_exchange_rate, and you use convert_currency to change a specified amount from one currency into another based on those live rates.

Since most market analysis involves time series data, your agent also handles historical candle data retrieval via get_time_series. The sheer variety of tools means you don't have to switch between different API types; the whole thing runs through one connection. You can run a full-spectrum check—say, getting the 200-day SMA on a stock and comparing it against its MACD reading while also converting the resulting dollar value into Euros—all in one natural language prompt.

It's powerful, man.