About Crypto Market Data
Crypto Market Data is a dashboard showing live cryptocurrency and DeFi market data from CoinGecko and DeFiLlama. It has a basic UI and suits developers who want a simple project to learn from or deploy. The repository also includes an MCP server that exposes the same data to AI assistants.
Key features
- 01Top coins by market cap with 7-day sparklines
- 02DeFi protocol TVL rankings
- 03DeFi yield farming opportunities
- 04Blockchain TVL comparison
- 05Dark mode and responsive layout
Use cases
- 01Learning to build and deploy a simple market dashboard
- 02Querying crypto prices and OHLCV candles from an AI assistant
- 03Comparing DeFi protocol and chain TVL
MCP support
The mcp-server directory provides an MCP server that exposes CoinGecko and DeFiLlama prices, OHLCV candles, search, TVL and yield data to MCP clients such as Claude Desktop and Cursor.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project READMECrypto Market Data
Live dashboard: https://nirholas.github.io/crypto-market-data/
Live cryptocurrency and DeFi market dashboard with data from CoinGecko and DeFiLlama.
Cryptocurrency prices and market data. That's it! With a basic UI. I originally built this within Lyra Web3 Playground and I thought it might be helpful for those looking for something very simple, a good learning experience to build + deploy, or maybe you're like me and just enjoy building and sharing simple yet useful creations. Live data, hooked up to CoinGecko and Defillama.
Features
- 🪙 Cryptocurrencies - Top coins by market cap with 7-day sparklines
- 🏦 DeFi Protocols - Protocol TVL rankings from DeFiLlama
- 📈 Yields - DeFi yield farming opportunities
- ⛓️ Chains - Blockchain TVL comparison
- 🌙 Dark Mode - Toggle between light and dark themes
- 📱 Responsive - Works on desktop and mobile
Quick Start
# Install dependencies
npm install
# Start development server
npm run dev
# Build for production
npm run build
Deploy to GitHub Pages
Pushes to main are built and deployed automatically by the GitHub Actions workflow in .github/workflows/deploy.yml. The live site is at nirholas.github.io/crypto-market-data.
To build and host the static output yourself:
npm run build
# Serve or upload the dist/ folder
MCP Server
This repo also bundles a Model Context Protocol server in mcp-server/ that exposes the same CoinGecko and DeFiLlama data to AI assistants (Claude Desktop, Cursor, and other MCP clients): live prices, OHLCV candles, trending coins, coin search, DeFi protocol/chain TVL, yields, and stablecoin supplies.
See mcp-server/README.md for the full tool list, build instructions, and client configuration.
Data Sources
License
All rights reserved. See LICENSE.
Documentation
Full documentation site: https://nirholas.github.io/crypto-market-data/
- Getting started covers install and first run.
- Examples has copy-paste snippets.
Star History
Support the project
If crypto-market-data saves you time, star it on GitHub. Stars are how other developers and AI agents find the repositories worth trusting, and they cost you one click.
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Built for AI agents too
Coding agents and LLM tooling can read this repo directly: AGENTS.md, llms.txt, llms-full.txt. Point an agent at https://github.com/nirholas/crypto-market-data and it has the context it needs.
More from the same author
- All repositories by nirholas: the full catalog, grouped by topic
- three.ws: the platform for 3D AI agents with Solana wallets, a skill marketplace and x402 payments
- Questions or ideas: open an issue or start a discussion
Contributors
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.