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CoinAPI MCP. Instantly map crypto market depth and price history.

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CoinAPI MCP on Cursor AI Code Editor MCP Client CoinAPI MCP on Claude Desktop App MCP Integration CoinAPI MCP on OpenAI Agents SDK MCP Compatible CoinAPI MCP on Visual Studio Code MCP Extension Client CoinAPI MCP on GitHub Copilot AI Agent MCP Integration CoinAPI MCP on Google Gemini AI MCP Integration CoinAPI MCP on Lovable AI Development MCP Client CoinAPI MCP on Mistral AI Agents MCP Compatible CoinAPI MCP on Amazon AWS Bedrock MCP Support

Just plug in your AI agents and start using Vinkius.

CoinAPI. Access institutional-grade crypto data directly through your AI agent. Fetch real-time OHLCV data, current exchange rates, and Level 2 order books across hundreds of exchanges.

Your agent can instantly pull specific trades, monitor liquidity, and audit asset prices without needing to write a single API call.

It’s a unified source for quantitative analysis.

What your AI agents can do

Get exchange rates

Gets the current exchange rate between two specified cryptocurrency or fiat currency pairs.

Get latest orderbooks

Retrieves the current bid and ask levels (Level 2 data) for a specific asset on an exchange.

Get latest quotes

Pulls the most recent bid and ask prices for a given crypto symbol.

+ 6 more capabilities included
Fetch current exchange rates

Your agent retrieves the current exchange rate between any specified crypto and fiat currency pair.

Analyze historical price candles

Your agent pulls detailed Open, High, Low, Close, and Volume (OHLCV) records for price action analysis over defined timeframes.

Monitor real-time trade flow

Your agent retrieves a list of the most recently executed trades for a given crypto symbol on a specific exchange.

Examine market liquidity depth

Your agent accesses Level 2 order book data, showing current buy and sell bids and asks to measure market depth.

Identify supported assets and markets

Your agent lists all supported fiat and crypto assets, exchanges, and symbols available in the system.

Supported MCP Clients

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

CoinAPI MCP Server: 9 Tools for Crypto Market Data

Use these nine tools to fetch crypto rates, historical OHLCV data, current order books, trades, and asset lists from multiple exchanges.

get019d8427

get exchange rates

Gets the current exchange rate between two specified cryptocurrency or fiat currency pairs.

get019d8427

get latest orderbooks

Retrieves the current bid and ask levels (Level 2 data) for a specific asset on an exchange.

get019d8427

get latest quotes

Pulls the most recent bid and ask prices for a given crypto symbol.

get019d8427

get latest trades

Fetches a list of the most recently executed trades for a specified asset and exchange.

get019d8427

get ohlcv

Retrieves historical Open, High, Low, Close, and Volume data for a given symbol and timeframe.

get019d8427

get specific rate

Gets the current exchange rate for a single, specific crypto/fiat pair.

list019d8427

list assets

Lists all supported fiat and crypto assets recognized by the server.

list019d8427

list exchanges

Lists all crypto exchanges integrated with the CoinAPI server.

list019d8427

list symbols

Lists all supported crypto symbols, optionally filtering by exchange or asset.

Choose How to Get Started

Build a custom MCP for your own tools, or connect a ready-made integration from our catalog.

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Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.

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Start with CoinAPI, then connect any of our 4,700+ other servers whenever your AI needs more. One click, no limits.

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  • Works with Claude, ChatGPT, Cursor, and more
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What you can do with this MCP connector

Yo, if you're into crypto, you need this CoinAPI server. It gives your AI client direct access to institutional-grade market data. You won't have to write a single API call; your agent just talks to the server, and boom—you get the info. It's a unified source for quantitative analysis, period.

get_exchange_rates lets your agent grab the current exchange rate between any crypto and fiat pair. get_specific_rate handles the same thing, but for a single, specific crypto/fiat pair. get_ohlcv pulls detailed Open, High, Low, Close, and Volume (OHLCV) records, so you can analyze price action over whatever timeframe you set. get_latest_orderbooks retrieves the current bid and ask levels (Level 2 data) for an asset on an exchange, letting you measure market depth.

You can watch the market action live with get_latest_trades, which fetches a list of the most recent trades for a specific asset and exchange. For discovery, you can use list_assets to list all supported fiat and crypto assets, list_exchanges to list all integrated crypto exchanges, and list_symbols to list all supported crypto symbols, sometimes filtering by exchange or asset.

You'll find your agent can handle all this heavy lifting, letting you monitor liquidity, audit asset prices, and track trades across hundreds of exchanges instantly.

How CoinAPI MCP Works

  1. 1 First, you point your AI client at the CoinAPI server and provide your API key. This connects your agent to the entire data model.
  2. 2 Next, you ask your agent a question—for example, 'What was the BTC/USD price action yesterday?'—and specify the required parameters (timeframe, exchange).
  3. 3 The agent runs the necessary tools (like get_ohlcv or get_latest_orderbooks), pulls the raw data, and formats it into a natural language answer for you.

The bottom line is: you ask your agent a question in plain English, and it handles all the complex, multi-endpoint data calls required to answer it.

Who Is CoinAPI MCP For?

Quantitative analysts, financial researchers, and DeFi developers need this. It replaces the need to write complex, multi-source Python scripts that stitch together data from dozens of different exchange APIs. Instead, they talk to the agent and get a cohesive view of market depth and price history.

Quantitative Analyst

Uses get_ohlcv and get_latest_orderbooks to backtest strategies against historical and real-time price data from multiple exchanges.

Financial Researcher

Uses list_assets and get_exchange_rates to map out macro market trends and analyze liquidity across diverse asset pairs without custom API writing.

Portfolio Manager

Uses get_latest_quotes and get_latest_trades to track precise, up-to-the-second valuations of diverse crypto holdings against multiple fiat pairs.

What Changes When You Connect

  • Analyze Price History: Pulling OHLCV data with get_ohlcv lets you see how BTC moved yesterday, not just the closing price. You get the full range (Open, High, Low, Close, Volume) instantly.
  • Assess Liquidity: Use get_latest_orderbooks to see the actual bid/ask spread for a pair. This tells you how deep the market is—a key difference from just looking at quotes.
  • Track Activity: get_latest_trades gives you a chronological list of the most recent buys and sells. This shows real-time, executed market activity, not just predicted prices.
  • Cross-Reference Data: You can use get_exchange_rates and get_specific_rate to compare the value of the same asset against different fiat currencies instantly.
  • Discover Markets: Need to know what data is available? Run list_assets or list_exchanges to get a full list of everything the server tracks before you start querying.
  • Single View: Instead of running five separate calls for rates, trades, order books, and history, your agent orchestrates it all, giving you one answer.

Real-World Use Cases

01

Evaluating a New Trading Pair

A quant wants to test a new altcoin pair (X/Y). Instead of writing code to hit three different endpoints, they ask their agent: 'Show me the last 24 hours of OHLCV for X/Y, plus the current order book depth.' The agent calls get_ohlcv and get_latest_orderbooks and delivers a full profile instantly, letting them assess the risk.

02

Comparing Exchange Pricing

A researcher needs to know if Coinbase is offering a better price for ETH than Binance. They ask the agent to compare the rates. The agent uses get_exchange_rates and get_latest_quotes to pull the current bid/ask spread across both exchanges, letting the researcher compare true market value.

03

Investigating Sudden Volume Spikes

A portfolio manager notices unusual activity. They ask the agent to check the trade history for a specific asset. The agent runs get_latest_trades and get_ohlcv for the last hour. This combination pinpoints exactly when the volume spiked and who was trading, giving them actionable insight.

04

Building a Data Pipeline Schema

A developer needs to know what data points are available. They run list_assets first, then list_exchanges to define their universe. Finally, they use list_symbols to filter only the symbols relevant to their specific application, building the required scope before fetching data.

The Tradeoffs

Sequential API Calls

Calling get_latest_quotes, then get_latest_trades, then get_ohlcv in a script. This forces the script to manage state, manually check timestamps, and handle potential rate limits on each call.

Ask your agent to combine them. Say: 'Give me the full picture for BTC on Binance.' The agent handles the required sequence of get_latest_quotes, get_latest_trades, and get_ohlcv calls internally, and returns one coherent data packet.

Assuming Data Consistency

Using only get_latest_quotes and thinking it reflects the true market depth. You might miss major bid/ask gaps that only get_latest_orderbooks shows.

Always confirm liquidity by running get_latest_orderbooks alongside get_latest_quotes. This ensures you account for the full depth of the market, not just the current best price.

Ignoring Asset Discovery

Trying to fetch data for a symbol (like 'XYZ/USD') without first confirming it exists. This results in a generic 'Asset Not Found' error and stalls the entire workflow.

Start with list_symbols or list_assets to verify the exact symbol and asset pairing. Use the confirmed symbol in subsequent calls like get_ohlcv.

When It Fits, When It Doesn't

Use CoinAPI if your task requires combining multiple, diverse crypto data streams—historical price action, current liquidity depth, and executed trade volume—into a single answer. It’s designed for quants who need a multi-view of the market. Don't use this if you just need a single, simple rate check; for that, get_specific_rate is faster. Conversely, don't use it if you're building a data warehouse from scratch; you still need your own backend to ingest and store the data. It is a real-time intelligence layer, not a storage solution. When in doubt, use list_assets first to define your data boundaries.

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by CoinAPI. 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 9 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.

Available Capabilities

get_exchange_rates get_latest_orderbooks get_latest_quotes get_latest_trades get_ohlcv get_specific_rate list_assets list_exchanges list_symbols

Sourcing market data used to be a mess of tabs and API keys.

Before this server, getting a full picture of crypto pricing meant manually logging into five different exchange dashboards. You'd copy the daily OHLCV data from one, the current quotes from another, and the trade history from a third. You'd spend hours stitching that data together in Excel, hoping the timestamps lined up.

Now, your agent handles it. You just ask, 'What was the full price profile for BTC/USD yesterday?' and the agent runs the necessary tools (`get_ohlcv`, `get_latest_quotes`, etc.). You get a single, structured answer that includes the full historical context and the current market snapshot. No manual data wrangling required.

CoinAPI MCP Server: Get the full market picture in one prompt.

You no longer need to write complex boilerplate code that calls `get_latest_orderbooks` and then has to manage the resulting data structure to calculate the bid/ask spread. The agent manages the complexity of the multiple data sources for you.

It's a single intelligence layer. You tell the agent what you want—a liquidity analysis, a rate comparison, a historical audit—and it executes the entire data pipeline from the server side. Period.

Common Questions About CoinAPI MCP

How does the get_ohlcv tool work with different timeframes? +

The get_ohlcv tool accepts specific timeframes (e.g., 1h, 1d, 4h) as input. You simply specify the desired interval, and the tool returns the Open, High, Low, Close, and Volume data for that period.

Can I get the current rate for a specific pair using get_specific_rate? +

Yes, get_specific_rate is designed for quick lookups. You just need to provide the crypto and fiat symbols, and it returns the latest exchange rate without needing the full scope of get_exchange_rates.

What is the difference between get_latest_quotes and get_latest_orderbooks? +

Quotes give the best current bid and ask price. Orderbooks show the actual depth—the list of all bids and asks, showing how much volume is available at various price points.

Which tool should I use to see what assets are supported? +

You should use the list_assets tool. It provides a comprehensive list of all fiat and crypto assets the server recognizes, helping you define your scope before running any other query.

What should I use the list_exchanges tool for? +

It lists every exchange CoinAPI supports. You use this tool to see which platforms are available before you try to fetch data, like the latest order books or trades, from a specific exchange.

How do I get the most recent trades using get_latest_trades? +

The tool fetches the most recently executed trades for a symbol on a given exchange. It provides details like the price and quantity, letting you track real-time market activity.

Does get_ohlcv support different time ranges or data types? +

Yes, you specify the start and end times and the timeframe (e.g., 1h, 1d) in the tool call. This lets you analyze price action across custom historical periods.

What is the purpose of list_assets and list_symbols? +

These tools help you define the scope of your request. Use list_assets to see all available crypto and fiat currencies, and list_symbols to narrow down the specific trading pairs you care about.

How do I format the symbol ID to get specific exchange data? +

CoinAPI uses a specific format: EXCHANGE_TYPE_BASE_QUOTE. For example, to get Bitcoin to USD on Bitstamp, use BITSTAMP_SPOT_BTC_USD. You can use the list_symbols tool to find exact identifiers.

Can I get the current price of Ethereum in Euros? +

Yes! Use the get_specific_rate tool. Set asset_id_base to 'ETH' and asset_id_quote to 'EUR'. This will return the real-time average conversion rate.

What timeframes are available for OHLCV data? +

The get_ohlcv tool supports various periods via the period_id parameter, such as 1MIN, 1HRS, 1DAY, 1MTH, etc. It defaults to 1DAY.

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Claude Claude
ChatGPT ChatGPT
Cursor Cursor
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Windsurf Windsurf
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JetBrains JetBrains
Vercel Vercel
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