--- title: "AllRatesToday in Claude Code, Cursor, and DeepSeek (MCP + Tool Calling)" description: "Two new ways to plug AllRatesToday currency data into AI coding tools: an MCP server for Claude Code, Cursor, and Claude Desktop, plus a DeepSeek function-calling package for Python agents." canonical: https://allratestoday.com/blog/allratestoday-for-claude-cursor-deepseek/ source: AllRatesToday (https://allratestoday.com/) — Markdown mirror of the page above; index of all pages at https://allratestoday.com/llms.txt generated: 2026-10-19T13:48:28.406Z --- ![AI coding assistant](https://images.pexels.com/photos/1921326/pexels-photo-1921326.jpeg?auto=compress&cs=tinysrgb&dpr=2&h=650&w=940) If you ask ChatGPT, Claude, or DeepSeek *"what's the USD to EUR rate today?"*, you usually get a confident-sounding hallucination. Large language models don't know this week's exchange rates — they know rough historical ranges from their training data. For anything financial, that's a problem. Today we're shipping two integrations that fix this specifically for AllRatesToday: 1. **An MCP server** — so Claude Code, Cursor, Claude Desktop, and any other Model Context Protocol client can call our rate endpoints directly. 2. **A DeepSeek function-calling package** — a Python module that wires up real-time rates as tools for `deepseek-chat` and `deepseek-reasoner`. Both are open source, MIT-licensed, and share the same set of tools: current rate, currency conversion, historical data, and supported-currency list. The first two work without an API key. ## Why add currency tools to an AI assistant? Three concrete use cases we've heard from users in the last month: - **Invoice review.** "I have an invoice in USD, my books are in EUR — what should I record this as today?" The assistant needs a real rate, not a guess. - **Travel planning.** "Plan a 5-day Tokyo trip for 300,000 JPY." Without a live rate, the model can't accurately translate that into your home currency. - **Cross-border quotes.** "Quote this SOW at $12,000 USD but show the Brazilian client a BRL figure." Same problem — requires today's mid-market rate. In each case, the LLM is doing the hard part (understanding intent, formatting output). What it needs is a deterministic tool for the numeric step. That's what these integrations are. ## The MCP server: for Claude Code, Cursor, Claude Desktop The [`@allratestoday/mcp-server`](https://www.npmjs.com/package/@allratestoday/mcp-server) package implements the [Model Context Protocol](https://modelcontextprotocol.io/) — a standard that lets any MCP-compatible AI client call your tools over stdio. ### Install in Claude Code ``` claude mcp add allratestoday -- npx -y @allratestoday/mcp-server claude mcp env allratestoday ALLRATES_API_KEY=art_live_xxxxx ``` ### Install in Cursor or Claude Desktop Add this to your MCP config (`~/.cursor/mcp.json` or Claude Desktop's config file): ``` { "mcpServers": { "allratestoday": { "command": "npx", "args": ["-y", "@allratestoday/mcp-server"], "env": { "ALLRATES_API_KEY": "art_live_xxxxx" } } } } ``` Restart the client. Your assistant now has four new tools: `get_exchange_rate`, `get_historical_rates`, `get_rates_authenticated`, and `list_currencies`. Two of them (`get_exchange_rate` and `list_currencies`) don't need a key; the other two do. Full docs and source: [allratestoday.com/mcp](https://allratestoday.com/mcp/) and [github.com/AllRates-Today/mcp-server](https://github.com/AllRates-Today/mcp-server). ## The DeepSeek package: Python function calling DeepSeek's Chat Completions API is OpenAI-compatible, which means the same function-calling mechanism works out of the box. The [`allratestoday-deepseek`](https://github.com/AllRates-Today/allratestoday-deepseek) package ships tool schemas, an agent wrapper, and a CLI. ### One-shot question ``` pip install allratestoday-deepseek export DEEPSEEK_API_KEY=sk-xxxxx allratestoday-deepseek --ask "What is 2500 USD in EUR right now?" ``` ### Library usage ``` from allratestoday_deepseek import DeepSeekCurrencyAgent with DeepSeekCurrencyAgent() as agent: print(agent.ask("How many Japanese Yen is 500 Swiss Francs?")) ``` Under the hood, the agent sends your question to `deepseek-chat` with the tool schemas attached. If DeepSeek decides to call `convert_currency`, the package executes it against the AllRatesToday API and passes the JSON result back. DeepSeek then produces a final answer citing the actual rate. If you'd rather drive the tool loop yourself (for integration into LangChain, LangGraph, or a custom orchestrator), import `TOOLS` and `dispatch_tool` and wire them in directly. See [the raw example](https://github.com/AllRates-Today/allratestoday-deepseek/blob/main/examples/raw_tool_call.py). Full docs: [allratestoday.com/deepseek](https://allratestoday.com/deepseek/). ## What about ChatGPT? ChatGPT Desktop added MCP support in late 2025, so the MCP server above works there too — same config format as Claude Desktop. For plain `chatgpt.com`, you can build a Custom GPT with Actions pointed at our [OpenAPI spec](https://allratestoday.com/openapi.json). That's on our roadmap as an official first-party GPT; until then, our [llms.txt](https://allratestoday.com/llms.txt) tells any browsing-enabled LLM exactly which endpoints to call. ## Under the hood: same four tools everywhere Whether you're using MCP, DeepSeek function calling, or the raw REST API, the operations are the same: | Tool | Endpoint | API key? | | --- | --- | --- | | `get_exchange_rate` | `GET /api/rate?source=X&target=Y` | no | | `convert_currency` | (rate × amount, client-side) | no | | `get_historical_rates` | `GET /api/historical-rates` | yes | | `get_rates_authenticated` | `GET /api/v1/rates` | yes | | `list_currencies` | `GET /api/v1/symbols` | no | All rates are mid-market, sourced from institutional foreign exchange market data. 160+ currencies supported. ## Licensing & contributions Both packages are MIT-licensed. Issues and pull requests are welcome: - [github.com/AllRates-Today/mcp-server](https://github.com/AllRates-Today/mcp-server) — MCP server - [github.com/AllRates-Today/allratestoday-deepseek](https://github.com/AllRates-Today/allratestoday-deepseek) — DeepSeek integration If you build something on top of these — a custom agent, a Slack bot, a trading notebook — we'd love to hear about it. ## Real currency data in your AI stack Free tier — no credit card required. [Get your free API key](https://allratestoday.com/register/) ## Related Articles - [AllRatesToday MCP Server for Claude & Cursor](https://allratestoday.com/blog/allratestoday-mcp-server-claude-cursor/) - [Exchange Rate API for AI Agents & LLMs](https://allratestoday.com/blog/exchange-rate-api-ai-agents-llm-2026/) - [Best MCP Servers for Finance 2026](https://allratestoday.com/blog/best-mcp-servers-for-finance-2026/) - [Best MCP Server for Exchange Rates](https://allratestoday.com/best/best-mcp-server-for-exchange-rates/)