Crypto Indicators

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About crypto-indicators-mcp

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Overview

CloudJavaScript111 starsMIT

Connections & Capabilities

Connects To

GitHub

Quickstart

Claude Desktop Config

{
   "mcpServers": {
     "crypto-indicators-mcp": {
       "command": "node",
       "args": ["path/to/crypto-indicators-mcp/index.js"],
       "env": {
         "EXCHANGE_NAME": "binance"
       }
     }
   }
 }

Key Features

MCP Server Integration - Seamlessly connects technical analysis tools to AI models and development environments.

Technical Indicator Library - Provides automated calculations for standard financial signals like RSI and MACD.

Standardized API Interface - Offers a consistent programmatic method to request and retrieve complex market analysis data.

Automated Strategy Support - Facilitates the programmatic implementation of trading logic by returning pre-calculated indicator values.

Cryptocurrency Focus - Specifically tuned for the unique volatility and data structures of crypto market price action.

Use Cases & Problems Solved

Use Cases

•Use when building automated trading agents that require real-time technical analysis data integrated directly into an LLM workflow.
•Perfect for developers creating custom crypto dashboard applications that need standardized, programmatic access to market indicators.
•Ideal if you need to fetch complex technical signals like RSI, MACD, or Bollinger Bands without manually calculating them from raw OHLC data.
•Great for backtesting trading strategies by providing a consistent interface for indicator calculations across multiple cryptocurrency pairs.
•Use when developing AI-powered financial research assistants that analyze market trends based on historical price action.
•Perfect for integrating professional-grade technical analysis capabilities into Model Context Protocol (MCP) compatible development environments.

Problems Solved

✓Eliminates the need to write custom, error-prone mathematical implementations for standard technical analysis indicators from scratch.
✓Reduces the complexity of integrating cryptocurrency market data analysis into LLM-based applications.
✓Removes the friction of switching between different data providers by using a standardized MCP server interface.
✓Solves the issue of inconsistent indicator calculations across different trading bot modules.

Who It's For

Quantitative trading developers building automated crypto strategiesAI engineers developing financial analysis agents using the Model Context ProtocolFintech application developers creating market research and monitoring dashboardsAlgorithmic traders utilizing Python for data-driven market decision makingBlockchain developers building specialized tooling for decentralized finance (DeFi) analytics

Metrics

Discovered2/14/2026

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