Open Exchange Rates MCP. Get precise, historical, or real-time exchange rates instantly.
Works with every AI agent you already use
…and any MCP-compatible client
Just plug in your AI agents and start using Vinkius.
Open Exchange Rates connects real-time and historical currency data to your AI agent. Get accurate rates for 200+ currencies, convert amounts instantly, and pull detailed OHLC metrics directly into your workflow via a simple prompt.
Track market trends or validate international pricing without leaving your client.
What your AI agents can do
Convert currency
Converts any specified value between two different currencies using current market data.
Get historical rates
Retrieves the exact exchange rate for a given pair of currencies on a specific historical date.
Get latest rates
Gets the most recent, up-to-the-minute exchange rates relative to a base currency.
The agent calculates and returns a precise amount when converting one currency to another.
You retrieve the most recent exchange rate data for any combination of currencies.
The agent retrieves exchange rates that were active on a specific past date, allowing trend analysis.
You pull continuous data over an extended period, perfect for charting and modeling market movement.
The agent provides Open-High-Low-Close data points necessary for professional financial reporting.
You confirm your current usage metrics and remaining plan limits to prevent call failures.
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Supported MCP Clients
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Open Exchange Rates: 7 Tools for Financial Data
Use these seven tools to convert currencies, pull historical rates, generate market metrics (OHLC), and monitor API usage directly through your agent.
019e5d3econvert currency
Converts any specified value between two different currencies using current market data.
019e5d3eget historical rates
Retrieves the exact exchange rate for a given pair of currencies on a specific historical date.
019e5d3eget latest rates
Gets the most recent, up-to-the-minute exchange rates relative to a base currency.
019e5d3eget ohlc
Pulls Open-High-Low-Close metrics for a specified time period, useful for charting.
019e5d3eget time series
Retrieves continuous exchange rates over an entire span of dates, ideal for trend analysis.
019e5d3eget usage
Checks your API consumption and remaining plan limits to keep track of usage.
019e5d3elist currencies
Returns a full list of all supported currency symbols and their names for reference.
Choose How to Get Started
Build a custom MCP for your own tools, or connect a ready-made integration from our catalog.
Build Your Own
Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.
- Import from OpenAPI, Swagger, or YAML specs
- Create Agent Skills with progressive disclosure
- Deploy to edge with MCPFusion framework
- Built in DLP, auth, and compliance on every call
- Real time usage dashboard and cost metering
- Publish to catalog or keep private
Make Your AI Do More
Start with Open Exchange Rates, then connect any of our 4,700+ other servers whenever your AI needs more. One click, no limits.
- Use this MCP plus 4,700+ others, all in one place
- Add new capabilities to your AI anytime you want
- Every connection is secured and compliant automatically
- Track usage and costs across all your servers
- Works with Claude, ChatGPT, Cursor, and more
- New servers added to the catalog every week
What you can do with this MCP connector
You connect this server to your agent, and it gives you real-time and historical currency data from over 200 currencies. You don't need to leave your workflow; the agent handles all the market math for ya.
When you need current numbers, you use get_latest_rates to pull the most recent exchange rates relative to any base currency you pick. If you just need a specific dollar amount converted—say, figuring out how much 500 euros is worth right now—you run convert_currency. The agent takes your specified value and spits out the precise equivalent in the target currency using current market data.
Need to know what the rates were last year? You can't just guess; you pull it. Using get_historical_rates, you tell the agent which pair of currencies and exactly which date you want, and it returns the rate that was active on that specific past day. For broader research, if you need continuous data spanning months or years—like tracking a currency’s performance over an entire quarter—you use get_time_series.
This function gathers exchange rates across an extended span of dates, making it perfect for deep trend analysis and charting.
For professional financial reporting, the agent provides detailed Open-High-Low-Close (OHLC) metrics. When you call get_ohlc, you get those four specific data points—the highest price reached, the lowest price reached, and the closing rate—for a defined time period. This is what you use when you gotta build a chart that looks legit.
Before you run any big queries, it's smart to know if your plan is running low. You check your consumption status using get_usage. The agent reads this tool and lets you see exactly how many calls you’ve made and what your remaining plan limits are, stopping call failures before they even start.
If you ever forget which currency symbols are available or what the full list of supported currencies is, you just run list_currencies. It returns a complete roster of every single symbol and its name so you can reference it instantly. You'll get all this functionality—converting values, fetching current rates, analyzing historical data by date, tracking time-series movements, generating OHLC reports, checking usage limits, and listing available currencies—all through simple prompts to your AI client.
How Open Exchange Rates MCP Works
- 1 Subscribe to the Open Exchange Rates server, then provide your required App ID.
- 2 Your AI agent generates a tool call (e.g.,
get_time_series) based on your request in plain language. - 3 The MCP Server executes the call against the exchange rate API and sends back structured financial data to your agent.
The bottom line is: you talk to your AI agent, it talks to this server, and you get clean, actionable currency data back.
Who Is Open Exchange Rates MCP For?
Financial analysts who need historical rates for quarterly reports. E-commerce managers needing reliable international pricing verification. Developers building apps that handle multi-currency transactions or require real-time market feeds.
They use get_ohlc and get_time_series to build predictive models and analyze volatility over long periods.
They run the agent to check current conversion rates (convert_currency) before finalizing international pricing tiers.
They test currency logic and verify API responses by calling tools like get_latest_rates directly from their code editor.
What Changes When You Connect
- Stop guessing conversion rates. Use
get_latest_ratesto pull the current market value for any currency pair in seconds, ensuring your pricing is always accurate. - Move beyond single-point data checks.
get_time_seriesallows you to plot volatility and track how a rate changed over months or years—essential for risk assessment. - Simplify complex financial reporting. Instead of multiple API calls, the agent uses
get_ohlcto deliver structured Open-High-Low-Close metrics needed for professional charting. - Validate international transactions safely. Use
convert_currencybefore deployment; the tool guarantees you're working with current market rates, not static assumptions. - Manage API costs directly. Call
get_usageanytime. You always know how many calls you have left and what your plan limits are, preventing unexpected failures.
Real-World Use Cases
Pricing a Global Product Launch
An e-commerce manager needs to list a product in five different countries. Instead of manually checking multiple exchange rate sites, they ask their agent: 'Convert $500 USD to EUR, JPY, GBP, AUD, and CAD.' The agent uses convert_currency for all five amounts instantly, giving the manager accurate pricing data.
Analyzing Market Volatility
A quant analyst wants to see how volatile oil futures were during a specific economic crisis. They instruct their agent: 'Get the OHLC data for USD/CAD between Q1 2020 and Q2 2020.' The agent executes get_ohlc, returning the exact metrics needed for deep trend analysis.
Comparing Historical Performance
A financial planner needs to show a client how much stronger the Euro was five years ago compared to today. They ask their agent: 'What were the EUR rates relative to USD back in 2019?' The agent runs get_historical_rates, providing the specific past rate data required for comparison.
Building a Multi-Currency App Feature
A developer is building a checkout flow and needs to ensure their rate logic works perfectly. They test the tool by running get_time_series across several months, validating that the rates fluctuate as expected in their application’s sandbox.
The Tradeoffs
Assuming current rates are enough
Using a hardcoded conversion factor (e.g., 1 USD = 0.92 EUR) for an international pricing model, assuming it won't change.
→
Always use get_latest_rates or convert_currency. This ensures your agent pulls the real-time market data needed to maintain accurate margins.
Forgetting the time dimension
Trying to analyze a rate change over a year but only calling for one date, which gives zero context.
→
Run get_time_series. This tool aggregates rates across an entire period, giving you the full historical picture needed for analysis.
Confusing data types
Asking the agent to just 'show market movement' without specifying if they mean daily open/close or simply a rate over time.
→
Be specific. Use get_ohlc when you need Open-High-Low-Close metrics, and use get_time_series when you just need the closing rate for every day.
When It Fits, When It Doesn't
Use this server if your workflow requires accurate, verifiable currency data at any point in time. This includes calculating current exchange rates (convert_currency), modeling historical volatility (get_ohlc, get_time_series), or verifying today's market values (get_latest_rates).
Don't use this server if you only need a simple list of currency codes; in that case, list_currencies handles it. Also, don't rely on the agent for non-financial data.
Crucially: If your goal is to analyze trends (what happened over time), ignore get_latest_rates. You need get_time_series or get_historical_rates. Only use get_latest_rates when the moment matters—when you absolutely cannot wait for a historical lookup. The tool set forces you to be explicit about your temporal needs, which is exactly what financial analysis requires.
Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Open Exchange Rates. 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
International pricing shouldn't require checking five different exchange websites.
Today, setting up an international product catalog means copy-pasting conversion rates across dozens of tabs. You check the rate for Canada, then spend time finding the historical rate for Brazil, and finally cross-reference a third party's chart to see if the current price is even competitive enough.
With this MCP server, you just tell your agent: 'I need to price this product in USD, CAD, BRL, and AUD.' The agent uses `convert_currency` for all four currencies simultaneously. You get clean, structured data returned instantly—no more tab-switching, no manual lookups.
Open Exchange Rates MCP Server: Open global financial metrics.
Forget relying on static conversion rates or simple endpoint calls. The agent handles the complexity of retrieving data across multiple dimensions—you can pull a single rate (`get_latest_rates`) or run an entire year's worth of market movement history (`get_time_series`).
The difference is that you get maximum granularity without writing complex API orchestration code. You just ask for the data, and the agent structures it for immediate use.
Common Questions About Open Exchange Rates MCP
How do I check past exchange rates using the get_historical_rates tool? +
You specify the currency pair and the exact date. The agent returns the rate that was active on that specific day, letting you compare market values from different points in time.
Is get_latest_rates better than convert_currency for quick checks? +
They serve different needs. Use get_latest_rates when you want a full list of rates relative to one base currency (e.g., USD). Use convert_currency when you only need the conversion between two specific currencies.
Can I analyze trends using get_time_series? +
Yes, that's what it’s for. You provide a start date and an end date, and the agent returns rates across the entire period, letting you visualize movement.
What if I need OHLC data for my report? Should I use get_ohlc? +
You should use get_ohlc. This tool is specifically designed to pull Open-High-Low-Close metrics, which are crucial for detailed financial charting and analysis.
How do I check my current API usage and plan limits using the get_usage tool? +
It shows your real-time consumption metrics. Calling get_usage provides a breakdown of requests used versus your monthly quota. This helps you monitor potential rate limit issues before they stop your scripts.
What do I need to set up the server before using tools like convert_currency? +
You must subscribe to an Open Exchange Rates account and provide a valid App ID. The tool requires this unique credential to authenticate your requests and access the live market data.
If I don't know the specific currency codes, how do I find all available symbols before using list_currencies? +
Use list_currencies to pull a comprehensive list of every supported symbol and its full name. This ensures you use the correct identifier for accurate conversions or rate lookups.
When I run convert_currency, what is the source of the exchange rate used? +
The conversion always uses the most current market data available at the time of the API call. This ensures your calculations reflect real-time rates rather than stored or cached values.
Can I see exchange rates for a specific date in the past? +
Yes! Use the get_historical_rates tool by providing the date in YYYY-MM-DD format. The agent will return the rates as they were on that specific day.
How do I get a list of all supported currency names and symbols? +
Simply run the list_currencies tool. It will provide a complete dictionary of currency codes (like USD, EUR, BRL) and their full names.
Can I track currency trends over a specific period? +
Yes, the get_time_series tool allows you to fetch historical rates between a start and end date, making it easy to analyze fluctuations over time.
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
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