crypto-indicators-mcp

crypto-indicators-mcp

An MCP server providing a range of cryptocurrency technical analysis indicators and strategies.

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Overview

Crypto Indicators MCP Server provides a broad library of cryptocurrency technical analysis indicators and related trading strategies as an MCP server. It features 50+ indicators across trend, momentum, volatility, and volume categories, along with corresponding strategies that output signals (-1 for SELL, 0 for HOLD, 1 for BUY). The design is modular, organizing indicators and strategies into categorized modules for easy maintenance and extension. The server defaults to Binance as the data source but can be configured to any exchange supported by ccxt, enabling flexible data feeds for testing and live trading. It is designed to integrate with MCP clients (for example Claude Desktop) by supplying a configuration snippet that defines the command, arguments, and environment variable EXCHANGE_NAME. The README provides usage examples such as calculating MACD indicators and RSI-based signals, and the project is MIT licensed with Node.js v18.x compatibility. Overall, it enables AI trading agents to efficiently analyze market trends and generate robust quantitative strategies that can plug into automated trading workflows.

Details

Owner
kukapay
Language
JavaScript
License
MIT License
Updated
2025-12-07

Features

Technical Indicators

50+ indicators across trend, momentum, volatility, and volume categories.

Trading Strategies

Corresponding strategies outputting signals: -1 (SELL), 0 (HOLD), 1 (BUY).

Flexible Data Source

Defaults to Binance, configurable to any ccxt-supported exchange.

Modular Design

Indicators and strategies are categorized for easy maintenance.

Audience

AI trading agentsto efficiently analyze market trends and develop robust quantitative strategies.
MCP client developers/usersto configure and run the MCP server with MCP clients (e.g., Claude Desktop) via a config snippet.

Tags

cryptocurrencytechnical indicatorstrading indicatorstrading strategiesAI tradingccxtBinanceNode.jsmodular designmarket analysis