MCP server for AI agents — real-time FX rates, crypto quotes, DeFi yields, and market data. 8 tools, 6 data sources, no
by lamcearber-spec·Updated Apr 13, 2026Add new capabilities to Claude beyond text generation
Example: Access external data sources, execute code, interact with tools and services
Transform Claude from chatbot to action-taking agent
Provide Claude with access to relevant context and data
Example: Load project documentation, access knowledge bases, query databases
Get more accurate, context-aware responses
Automate multi-step workflows combining AI and external tools
Example: Research → Summarize → Create document → Send notification
Complete complex tasks end-to-end without manual steps
Time estimate: 15-60 minutes depending on server complexity
Prerequisites
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According to our notes, fx-mcp benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
fx-mcp has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
We evaluated fx-mcp against two servers with overlapping tools; this profile had the clearer scope statement.
fx-mcp has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
fx-mcp is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
fx-mcp is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
fx-mcp is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
fx-mcp is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
We wired fx-mcp into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
fx-mcp is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
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Claude Desktop configuration
{"mcpServers":{"fx-mcp":{"command":"npx","args":["-y","fx-mcp"]}}}MCP server providing real-time foreign exchange rates, cryptocurrency quotes, DeFi yields, and comprehensive market data for financial analysis and cross-border payment comparisons.
fx-mcp is a community-built MCP server published by lamcearber-spec that provides AI assistants with tools and capabilities via the Model Context Protocol. MCP server for AI agents — real-time FX rates, crypto quotes, DeFi yields, and market data. 8 tools, 6 data sources, no It is categorized under finance. This server exposes 8 tools that AI clients can invoke during conversations and coding sessions.
You can install fx-mcp in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.
MCP server for AI agents — real-time FX rates, crypto quotes, DeFi yields, and market data.
# Claude Code
claude mcp add fx-mcp -- npx fx-mcp
# Manual
npx fx-mcp
| Tool | Description | Source |
|---|---|---|
get_fx_rate | Real-time FX rate with Wise competitor comparison | ECB + Wise |
get_crypto_quote | Crypto token swap estimate | CoinGecko |
estimate_total_cost | Compare Wise vs bank vs crypto for cross-border payments | Multi |
convert_currency | Quick conversion across 166 fiat currencies | Open Exchange Rates |
get_rate_history | Historical FX rates (up to 90 days) | ECB |
get_stablecoin_yields | Top DeFi yields for USDC, USDT, DAI, EURC | DeFi Llama |
get_market_overview | Market snapshot: ECB rate, fear/greed, gas, FX | Multi |
list_supported_pairs | Available fiat + crypto currencies | — |
All data sources are public and free:
MIT
Steps
Troubleshooting
✓ Do
✗ Don't
💡 Pro Tips
Architecture
Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.
Protocols
Compatibility
✓ Use when
Use when you need Claude to access external data, execute actions, or integrate with tools. Best for extending AI capabilities beyond conversation.
✗ Avoid when
Avoid when native integrations exist (use official APIs directly), for real-time critical systems, or when security/compliance requires zero external dependencies.
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