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Binance Crypto Market MCP. Audit real-time crypto data and market dynamics.

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Just plug in your AI agents and start using Vinkius.

Binance (Crypto Market) MCP Server gives your AI agent direct access to Binance's public API. It lets you get real-time prices for any crypto pair, audit 24-hour market trends, list top volume coins, and analyze historical price action.

Use `get_price` to check BTCUSDT's current value, or run `get_candles` to pull OHLC data for technical analysis. It's a full crypto data suite.

What your AI agents can do

Compare coins

Ranks multiple crypto assets side-by-side, showing their price, 24h change, volume, and relative performance.

Get candles

Retrieves OHLCV candlestick chart data for a specified crypto pair and time interval.

Get price

Gets the current price and 24-hour change percentage for any cryptocurrency pair.

+ 4 more capabilities included
Compare multiple crypto assets

Ranks multiple specified cryptocurrencies by their 24-hour performance and assigns a relative verdict (e.g., top performer, underperforming).

Fetch historical candlestick data

Retrieves Open, High, Low, Close, and Volume (OHLCV) data for a specific crypto pair over defined time intervals.

Get current price and 24h change

Returns the current trading price of any cryptocurrency in USDT, along with its percentage change over the last 24 hours.

Get full 24h statistics

Retrieves comprehensive 24-hour statistics for any crypto pair, including volume, high/low, and trade counts.

Analyze price volatility and trend

Computes price amplitude, trend direction, and bull/bear ratio over a set number of historical candles to analyze market risk.

List top cryptocurrencies by volume

Returns a list of the top 50 cryptocurrencies ranked by their total 24-hour USDT trading volume.

Identify top market gainers and losers

Finds the top cryptocurrencies that gained or lost the most value in the last 24 hours, filtering out low-liquidity noise.

Supported MCP Clients

Claude Claude
ChatGPT ChatGPT
Cursor Cursor
Gemini Gemini
Windsurf Windsurf
VS Code VS Code
JetBrains JetBrains
Vercel Vercel
+ other MCP clients
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AI Agent

Binance Crypto Market: 7 Tools for Trading Analysis

These tools let your AI agent pull structured, real-time crypto data, ranging from current prices to complex historical volatility charts.

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compare coins

Ranks multiple crypto assets side-by-side, showing their price, 24h change, volume, and relative performance.

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get candles

Retrieves OHLCV candlestick chart data for a specified crypto pair and time interval.

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get price

Gets the current price and 24-hour change percentage for any cryptocurrency pair.

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get ticker

Fetches full 24-hour statistics for any crypto trading pair, including volume, high/low, and trade counts.

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get volatility

Analyzes the price volatility and trend direction of a crypto over a specified number of historical candles.

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list market

Lists the top 50 cryptocurrencies by their 24-hour USDT trading volume.

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list movers

Gets the top cryptocurrencies that gained or lost the most value in the last 24 hours.

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Make Your AI Do More

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What you can do with this MCP connector

Your AI agent gets direct access to Binance's public API. You can run deep crypto market research and monitor portfolios using natural language. It's like giving your agent a live trading terminal, right inside the chat.

get_price checks the current trading price and the 24-hour change percentage for any crypto pair in USDT. get_ticker pulls full 24-hour statistics for any pair, including its volume, high/low range, and total trade counts. compare_coins ranks multiple crypto assets side-by-side, showing their price, 24-hour change, volume, and relative performance verdict. get_candles retrieves OHLCV candlestick chart data for a specific crypto pair over defined time intervals. get_volatility analyzes a crypto's price amplitude and trend direction over a set number of historical candles to measure market risk. list_market returns a list of the top 50 cryptocurrencies ranked by their total 24-hour USDT trading volume. list_movers identifies the top cryptocurrencies that gained or lost the most value in the last 24 hours, filtering out low-liquidity noise.

How Binance Crypto Market MCP Works

  1. 1 Subscribe to the Binance MCP Server. No credentials are needed because it uses Binance's public REST endpoints.
  2. 2 Tell your AI client what data you need—for example, "What is the volatility of ETH over the last 24 hours?"
  3. 3 Your agent calls the appropriate tool (like get_volatility), and the server returns the calculated metrics directly to the chat.

The bottom line is, your agent executes complex market queries against Binance data without you leaving your chat interface.

Who Is Binance Crypto Market MCP For?

Quantitative Developers, Crypto Traders, and Financial Analysts. You're the person who needs to monitor dozens of assets and needs real-time data without switching between dedicated trading platforms and spreadsheets. You need granular, auditable metrics, not just headlines.

Quantitative Developer

Tests and debugs crypto market data integrations, specifically using get_candles to validate candlestick logic for backtesting models.

Financial Analyst

Audits trading volumes and volatility across thousands of pairs using natural language commands, primarily relying on list_market and get_volatility.

Portfolio Manager

Tracks the value of multiple assets and verifies real-time price action across a basket of holdings using get_price and compare_coins.

What Changes When You Connect

  • See the full picture with list_market. It instantly ranks the top 50 coins by 24h volume, letting you pinpoint where the current liquidity hotspots are.
  • Verify current asset health with get_price. You get the exact price and 24h percentage change for any pair, without having to switch tabs.
  • Analyze risk deep down using get_volatility. It calculates price amplitude and trend direction over historical candles, which is crucial for risk modeling.
  • Deep dive into history with get_candles. This tool extracts OHLCV data for custom time intervals (1h, 4h, 1d), giving you the raw data needed for backtesting.
  • Compare multiple assets easily using compare_coins. It ranks BTC vs ETH vs SOL instantly, assigning a clear verdict on relative 24h performance.
  • Track extreme volatility with list_movers. It filters out the noise and shows only the biggest gainers and losers in the last 24 hours.

Real-World Use Cases

01

Checking a portfolio's immediate status

A portfolio manager needs to know if their holdings (BTC, ETH, SOL) are up or down right now. Instead of logging into three separate terminals, they ask their agent to run get_price for all three. The agent responds with the current price and 24h change for every asset, giving them an immediate, verifiable snapshot.

02

Investigating market liquidity

A financial analyst wants to know which sector is currently generating the most money. They run list_market to see the top 50 coins by volume. They notice a cluster of high-volume altcoins, prompting them to use get_ticker on those specific coins to pull full 24h statistics.

03

Backtesting a specific trading strategy

A quantitative developer needs OHLCV data for a 4-hour candle interval for BTCUSDT over the last month. They use get_candles to pull the exact structural data, then use get_volatility to analyze the risk profile of that historical period.

04

Comparing recent performance across several assets

A trader spots a potential breakout between two coins. They use compare_coins to get a side-by-side ranking of ETH and ADA's 24h performance. If the verdict is 'outperforming,' they know which one to focus on next.

The Tradeoffs

Using `get_price` for history

Asking the agent, "What was the price of BTC last week?" and expecting a full chart or historical range. get_price only gives the current price and 24h change.

To get historical data, you must use the get_candles tool. Specify the pair and the interval (e.g., get_candles(pair='BTCUSDT', interval='1d', limit=30)). This pulls the full OHLCV structure, not just a single number.

Ignoring liquidity filters

Running list_movers without realizing it filters for coins with at least $1M USDT volume. You might think it shows every coin, but it only shows the big players.

Always remember that list_movers and list_market focus on significant liquidity. If you need to check a small altcoin, use get_ticker or get_price directly instead of relying on the top lists.

Using `get_ticker` for quick checks

You just need to know if ETH is up or down right now, so you run get_ticker. You get a huge block of data, making it hard to read the immediate trend.

If you only need the current price and 24h trend, use get_price. It's cleaner and designed specifically for that quick, high-level status check.

When It Fits, When It Doesn't

Use this if you need to audit market structure. You need to know why a coin is moving—was it volume, historical trend, or just a quick price spike? If your goal is to see what assets are dominating liquidity right now, start with list_market. If you are building a backtest, you must use get_candles first. Never rely on a single tool. Always chain: check market scope (list_market) → check current status (get_price) → check depth/risk (get_volatility or get_ticker). Don't use get_price for anything but the current price. If you just want a comparison, use compare_coins to save time.

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Binance. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Works with Claude, ChatGPT, Cursor, and more

The Model Context Protocol standardizes how applications expose capabilities to LLMs. Instead of operating in isolation, your AI gains direct access to external platforms, live data, and real-world actions through secure, standardized connections.

This server provides 7 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.

Available Capabilities

compare_coins get_candles get_price get_ticker get_volatility list_market list_movers

Tracking market data shouldn't feel like clicking through five different dashboards.

Today, checking a crypto's status means opening Binance, finding the pair, manually scrolling to the chart, pulling the price feed, and then opening a second tab to check volume metrics. You spend five minutes copy-pasting numbers just to get a basic status report.

With this MCP server, you tell your agent what you need—like "What's the 24h volatility of SOL?"—and the agent runs `get_volatility`. You get the calculated risk metrics instantly in the chat. The data arrives, structured and ready to use.

Using `list_movers` and `list_market` gives you market scope instantly.

Before, figuring out which coins were hot required scrolling through endless lists and manually calculating the top gainers/losers. You'd spend time sifting through low-liquidity noise just to find the major players.

Now, you run `list_market` to see the top 50 by volume, or `list_movers` for the top gainers/losers. The server handles the filtering and ranking, giving you a clean, actionable view of the market's biggest actions.

Common Questions About Binance Crypto Market MCP

How do I use the `get_price` tool? +

The get_price tool takes a natural name or symbol (e.g., 'Bitcoin' or 'BTCUSDT'). It returns the current price and the 24-hour percentage change. For full stats, use get_ticker.

What is the difference between `get_price` and `get_ticker`? +

Use get_price when you only need the current price and 24h trend. Use get_ticker when you need the full set of 24h stats, like high/low ranges, volume, and trade counts.

Can I use `get_candles` to get the current price? +

No. get_candles is for historical data (OHLCV charts) over time intervals. For the current price, you must use get_price.

How do I check the top coins by volume? +

Run the list_market tool. It returns the top 50 cryptocurrencies, ranked by their total 24-hour USDT trading volume.

How do I compare multiple coins using `compare_coins`? +

Simply provide a comma-separated list of symbols (e.g., 'BTC, ETH, SOL'). The tool ranks them and provides a comparative verdict on their 24-hour performance.

How do I find the top market movers using the `list_movers` tool? +

The list_movers tool identifies top gainers and losers in the last 24 hours. It filters out low-liquidity noise, only showing coins with at least $1M USDT volume.

What time intervals can I use with the `get_candles` tool? +

You can use several intervals, including 1m, 5m, 15m, 30m, 1h, 4h, 1d, and 1w. Remember to use crypto.price for a simple, current price check.

What kind of data can I retrieve using `get_volatility`? +

The get_volatility tool analyzes price fluctuations by computing the amplitude %, trend direction, and bull/bear ratio. It defaults to the last 24 hours at a 1-hour interval.

Does this server require a Binance API key or account? +

No. This server uses Binance's public REST API endpoints, which do not require authentication for market data, ticker stats, or candlestick retrieval. You can start using it immediately without any setup.

Can I get historical price data for technical analysis? +

Yes. Use the 'get_candles' tool. You can specify the symbol and the interval (e.g., '1h', '1d'). The agent will retrieve the OHLC (Open, High, Low, Close) candlestick data needed for technical charting and analysis.

How do I identify the top gainers in the crypto market? +

Use the 'list_movers' tool. It analyzes the entire market and identifies the top 10 gainers and top 10 losers based on 24h price change percentage, helping you spot radical volatility instantly.

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Claude Claude
ChatGPT ChatGPT
Cursor Cursor
Gemini Gemini
Windsurf Windsurf
VS Code VS Code
JetBrains JetBrains
Vercel Vercel
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