finance

fx-mcp

lamcearber-spec

by lamcearber-spec

MCP server for AI agents — real-time FX rates, crypto quotes, DeFi yields, and market data. 8 tools, 6 data sources, no

MCP server providing real-time foreign exchange rates, cryptocurrency quotes, DeFi yields, and comprehensive market data for financial analysis and cross-border payment comparisons.

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best for

  • / General purpose MCP workflows

capabilities

  • / get_fx_rate
  • / get_crypto_quote
  • / estimate_total_cost
  • / convert_currency
  • / get_rate_history
  • / get_stablecoin_yields

what it does

MCP server providing real-time foreign exchange rates, cryptocurrency quotes, DeFi yields, and comprehensive market data for financial analysis and cross-border payment comparisons.

about

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.

how to install

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.

license

MIT

fx-mcp is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.

readme

fx-mcp

MCP server for AI agents — real-time FX rates, crypto quotes, DeFi yields, and market data.

Install

# Claude Code
claude mcp add fx-mcp -- npx fx-mcp

# Manual
npx fx-mcp

8 Tools

ToolDescriptionSource
get_fx_rateReal-time FX rate with Wise competitor comparisonECB + Wise
get_crypto_quoteCrypto token swap estimateCoinGecko
estimate_total_costCompare Wise vs bank vs crypto for cross-border paymentsMulti
convert_currencyQuick conversion across 166 fiat currenciesOpen Exchange Rates
get_rate_historyHistorical FX rates (up to 90 days)ECB
get_stablecoin_yieldsTop DeFi yields for USDC, USDT, DAI, EURCDeFi Llama
get_market_overviewMarket snapshot: ECB rate, fear/greed, gas, FXMulti
list_supported_pairsAvailable fiat + crypto currencies

Examples

  • "What is the EUR to USD rate right now?"
  • "Convert 5000 EUR to Turkish Lira"
  • "What is the cheapest way to send 2000 EUR to GBP?"
  • "Where can I get the best yield on USDC?"
  • "Give me a market overview"
  • "Show me EUR/GBP rate history for the last 30 days"
  • "Get me a quote to swap 1000 USDC to SOL"

No API keys required

All data sources are public and free:

  • ECB Data API (FX rates, interest rates)
  • Wise Comparison API (provider rates)
  • CoinGecko (crypto prices)
  • DeFi Llama (yields)
  • Open Exchange Rates (166 currencies)
  • Alternative.me (Fear & Greed Index)

License

MIT

FAQ

What is the fx-mcp MCP server?
fx-mcp is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
How do MCP servers relate to agent skills?
Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
How are reviews shown for fx-mcp?
This profile displays 74 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.7 out of 5—verify behavior in your own environment before production use.

Use Cases

Extended AI Capabilities

Add 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

Context Enhancement

Provide Claude with access to relevant context and data

Example

Load project documentation, access knowledge bases, query databases

Get more accurate, context-aware responses

Workflow Automation

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

Implementation Guide

Prerequisites

  • Claude Desktop 0.7.0+ or Cursor IDE with MCP support
  • Basic understanding of MCP architecture and capabilities
  • Access credentials for integrated services (if required)
  • Willingness to experiment and iterate on configuration

Time Estimate

15-60 minutes depending on server complexity

Installation Steps

  1. 1.Install MCP server: npm install -g [package-name] or via GitHub
  2. 2.Add server configuration to ~/.claude/mcp.json
  3. 3.Provide required credentials and configuration
  4. 4.Restart Claude Desktop to load new server
  5. 5.Test basic functionality with simple prompts
  6. 6.Explore capabilities and experiment with use cases
  7. 7.Document successful patterns for reuse

Troubleshooting

  • MCP server not loading: Check config syntax, verify installation
  • Connection errors: Check network, firewall, credentials
  • Feature not working: Read server docs, check required parameters
  • Performance issues: Monitor resource usage, check for network latency
  • Conflicts with other servers: Check port assignments, namespace collisions

Best Practices

✓ Do

  • +Read server documentation thoroughly before setup
  • +Start with simple use cases to validate functionality
  • +Test in non-production environment first
  • +Monitor resource usage and performance
  • +Keep servers updated for bug fixes and new features
  • +Document configuration for team members
  • +Use environment variables for sensitive configuration

✗ Don't

  • Don't grant overly permissive access to MCP servers
  • Don't skip reading security considerations in docs
  • Don't expose sensitive data without proper controls
  • Don't run untrusted MCP servers without code review
  • Don't ignore error messages—investigate root cause

💡 Pro Tips

  • Combine multiple MCP servers for powerful workflows
  • Create custom MCP servers for your specific needs
  • Share successful configurations with team
  • Use MCP inspector for debugging
  • Join MCP community for tips and troubleshooting

Technical Details

Architecture

Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.

Protocols

  • Model Context Protocol (MCP)
  • JSON-RPC 2.0
  • stdio or HTTP transport

Compatibility

  • Claude Desktop
  • Cursor IDE
  • Custom MCP clients

When to Use This

✓ 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.

Integration

  • Tool composition: Chain multiple MCP tools in workflows
  • Context augmentation: Provide AI with relevant external data
  • Action delegation: Let AI execute tasks on external systems
  • Bidirectional sync: Keep AI context and external systems in sync

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.

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Ratings

4.774 reviews
  • Anika Dixit· Dec 20, 2024

    According to our notes, fx-mcp benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.

  • Zaid Mehta· Dec 20, 2024

    fx-mcp has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.

  • Charlotte Jackson· Dec 16, 2024

    We evaluated fx-mcp against two servers with overlapping tools; this profile had the clearer scope statement.

  • Isabella Iyer· Dec 12, 2024

    fx-mcp has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.

  • Layla Gonzalez· Dec 12, 2024

    fx-mcp is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.

  • Yusuf Smith· Dec 4, 2024

    fx-mcp is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.

  • Isabella Malhotra· Nov 23, 2024

    fx-mcp is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.

  • Rahul Santra· Nov 11, 2024

    fx-mcp is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.

  • Benjamin Zhang· Nov 11, 2024

    We wired fx-mcp into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.

  • Benjamin Sharma· Nov 11, 2024

    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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