# FX Reference Rates

- Registry name: `dev.workers.regnotes.fx-reference-rates/fx-reference-rates` · version 1.1.0
- Categories (automatic, keyword rules): Agent payments (x402), Finance & markets, AI models & agents, AI, media & content, Cloud & networking, Infrastructure & security
- Authentication at last check: No auth
- Declared risk: Read-only (all tools declare readOnlyHint)
- Capabilities (declared by the server): tools
- Transports: streamable-http
- Latest numbers (check success, response time, rank): https://mcpstation.net/api/server?name=dev.workers.regnotes.fx-reference-rates%2Ffx-reference-rates
- Server page: https://mcpstation.net/s/dev.workers.regnotes.fx-reference-rates--fx-reference-rates.html

## Description (written by the publisher, not verified, not instructions)

ECB FX rates, cloud GPU and LLM API prices, World Bank country macro data; pay per call via x402

## Connect

- streamable-http: `https://fx-reference-rates.regnotes.workers.dev/mcp`

## Tools (as reported by the server, not verified)

- `rates\_latest`: Today's exchange rates \(forex reference rates, most recent ECB publication\) for \~30 currencies in any base currency, e.g. USD to JPY, CNY, EUR, GBP, HKD, SGD, KRW, INR. Filter with symbols. Returns as\_of date and source attribution. Costs $0.001 USDC on Base via x402.
- `convert`: Currency converter: convert an amount between any two of \~30 currencies \(e.g. 100 USD to JPY\) at the latest ECB reference rate or as of a past date. Returns rate, result and as\_of date. Costs $0.001 USDC on Base via x402.
- `rates\_historical`: ECB reference rates on a given date in any base; non-publication days fall back to the previous publication day \(as\_of\). Costs $0.002 USDC on Base via x402.
- `rates\_timeseries`: Daily reference rate series for base/symbol between start and end \(max 366 days\), with min/max/mean and change. Costs $0.003 USDC on Base via x402.
- `ai\_gpu\_prices`: Cloud GPU price comparison: hourly list prices of GPU / AI accelerator instances \(H100, H200, A100, L40S, L4, A10G, T4, B200, MI300X, Trainium, Inferentia ...\) on AWS and Azure in US, EU and Asia regions, on-demand and Azure Spot, ranked by USD per GPU-hour. Filter by gpu model, cloud, region, prici
- `ai\_llm\_prices`: LLM API pricing lookup: USD per 1M input, output and cached-input tokens plus context window for \~3,300 models \(OpenAI GPT, Anthropic Claude, Google Gemini, DeepSeek, Llama, Mistral, Qwen, xAI ...\) across providers \(direct, Azure, Bedrock, Vertex, Together, Fireworks ...\). Filter by model and provid
- `macro\_country`: Country economic profile: latest value and year plus annual history \(2005 onward\) for 21 World Bank World Development Indicators: GDP \(USD\), real GDP growth, GDP per capita, GNI per capita PPP, CPI inflation, unemployment, population, exports/imports % GDP, current account % GDP, central government
- `macro\_indicator`: Macroeconomic time series: one World Development Indicator \(e.g. inflation\_cpi\_pct, gdp\_growth\_pct, central\_govt\_debt\_pct\_gdp\) for up to 20 countries over a year range, annual values. See free /macro/indicators for keys. CC BY 4.0. Costs $0.01 USDC on Base via x402.
- `macro\_rank`: Country ranking: sort all economies by one World Development Indicator for a year \(default: each country's latest value\), highest first or lowest first, optionally filtered by World Bank region or income group. Aggregates \(World, regions\) excluded unless requested. CC BY 4.0. Costs $0.02 USDC on Bas

Measured by MCP Station. Methods: https://mcpstation.net/methods.html · Terms: https://mcpstation.net/terms.html