fx-mcp▌
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.
Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.
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
| 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 | — |
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.Install MCP server: npm install -g [package-name] or via GitHub
- 2.Add server configuration to ~/.claude/mcp.json
- 3.Provide required credentials and configuration
- 4.Restart Claude Desktop to load new server
- 5.Test basic functionality with simple prompts
- 6.Explore capabilities and experiment with use cases
- 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
4.7★★★★★74 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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