
CoinGecko Server
An Anthropic MCP server (with OpenAI Function calling compatibility) for the Coingecko Pro API
Installation
Installing for Claude Desktop
Manual Configuration Required
This MCP server requires manual configuration. Run the command below to open your configuration file:
npx mcpbar@latest edit -c claude
This will open your configuration file where you can add the CoinGecko Server MCP server manually.
Update: CoinGecko now has an official MCP server: https://docs.coingecko.com/reference/mcp-server
I recomend you use that one, as I probably won't update or keep this one current.
CoinGecko Server
A Model Context Protocol (MCP) server and OpenAI function calling service for interacting with the CoinGecko Pro API.
Features
- Paginated list of supported cryptocurrencies
- Coin ID lookup by name or symbol
- Historical price, market cap, and volume data
- OHLC (Open, High, Low, Close) candlestick data
- Local coin cache with refresh capability
Installation
npm install coingecko-server
Environment Setup
Create a .env
file in your project root:
COINGECKO_API_KEY=your_api_key_here
Usage with Claude Desktop
Claude Desktop provides full support for MCP features. To use this server:
-
Install Claude Desktop
-
Add to your Claude Desktop configuration:
- On macOS:
~/Library/Application Support/Claude/claude_desktop_config.json
- On Windows:
%APPDATA%\Claude\claude_desktop_config.json
- On macOS:
{
"mcpServers": {
"coingecko": {
"command": "node",
"args": ["/path/to/coingecko-server/build/index.js"],
"env": {
"COINGECKO_API_KEY": "your-api-key-here"
}
}
}
}
- Restart Claude Desktop
The server provides the following tools:
get-coins
: Get a paginated list of supported coinsfind-coin-ids
: Look up CoinGecko IDs for coin names/symbolsget-historical-data
: Get historical price, market cap, and volume dataget-ohlc-data
: Get OHLC candlestick datarefresh-cache
: Refresh the local coin list cache
Usage with OpenAI Function Calling
import { CoinGeckoService } from 'coingecko-server';
import OpenAI from 'openai';
const openai = new OpenAI();
const coinGeckoService = new CoinGeckoService(process.env.COINGECKO_API_KEY);
// Get function definitions
const functions = CoinGeckoService.getOpenAIFunctionDefinitions();
// Example: Get historical data
const response = await openai.chat.completions.create({
model: "gpt-4-turbo-preview",
messages: [{ role: "user", content: "Get Bitcoin's price history for the last week" }],
functions: [functions[2]], // get_historical_data function
function_call: "auto",
});
if (response.choices[0].message.function_call) {
const args = JSON.parse(response.choices[0].message.function_call.arguments);
const history = await coinGeckoService.getHistoricalData(
args.id,
args.vs_currency,
args.from,
args.to,
args.interval
);
}
Data Types
OHLCData
interface OHLCData {
timestamp: number;
open: number;
high: number;
low: number;
close: number;
}
HistoricalData
interface HistoricalData {
prices: [number, number][];
market_caps: [number, number][];
total_volumes: [number, number][];
}
CoinInfo
interface CoinInfo {
id: string;
symbol: string;
name: string;
platforms?: Record<string, string>;
}
Rate Limits
Please refer to the CoinGecko Pro API documentation for current rate limits and usage guidelines.
License
MIT
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13 days agoRepository age
6 monthsLicense
MIT
Auto-fetched from GitHub .
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