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Remote MCP Server for Analyzing Tokens using CoinGecko Market Data

MCP Server for Analyzing Tokens using the Coin Gecko API. Includes RSI, EMA, MACD, Bollinger Bands, Golden-Cross and Death-Cross.

#mcp-token-analyzer#coin-gecko
Created by Charged-Particles2025/03/28
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What is Remote MCP Server for Analyzing Tokens using CoinGecko Market Data?

what is MCP Token Analyzer? MCP Token Analyzer is a remote server application that analyzes cryptocurrency tokens using market data from the CoinGecko API. It provides various technical indicators to help users make informed trading decisions. how to use MCP Token Analyzer? To use MCP Token Analyzer, you need to develop it locally by installing the necessary dependencies and building the project. After that, connect your local MCP server to Claude Desktop by editing the configuration file as per the provided instructions. key features of MCP Token Analyzer? Analyzes tokens using CoinGecko market data Provides technical indicators like RSI, EMA, MACD, and Bollinger Bands Supports Golden-Cross and Death-Cross analysis use cases of MCP Token Analyzer? Analyzing cryptocurrency tokens for investment opportunities Monitoring market trends using technical indicators Assisting traders in making data-driven decisions FAQ from MCP Token Analyzer? What technical indicators does MCP Token Analyzer support? It supports RSI, EMA, MACD, Bollinger Bands, Golden-Cross, and Death-Cross. Is there a guide for setting up the server? Yes! Detailed instructions are provided in the project documentation. What programming language is used for MCP Token Analyzer? The project is developed using TypeScript.

As an MCP (Model Context Protocol) server, Remote MCP Server for Analyzing Tokens using CoinGecko Market Data enables AI agents to communicate effectively through standardized interfaces. The Model Context Protocol simplifies integration between different AI models and agent systems.

How to use Remote MCP Server for Analyzing Tokens using CoinGecko Market Data

To use MCP Token Analyzer, you need to develop it locally by installing the necessary dependencies and building the project. After that, connect your local MCP server to Claude Desktop by editing the configuration file as per the provided instructions. key features of MCP Token Analyzer? Analyzes tokens using CoinGecko market data Provides technical indicators like RSI, EMA, MACD, and Bollinger Bands Supports Golden-Cross and Death-Cross analysis use cases of MCP Token Analyzer? Analyzing cryptocurrency tokens for investment opportunities Monitoring market trends using technical indicators Assisting traders in making data-driven decisions FAQ from MCP Token Analyzer? What technical indicators does MCP Token Analyzer support? It supports RSI, EMA, MACD, Bollinger Bands, Golden-Cross, and Death-Cross. Is there a guide for setting up the server? Yes! Detailed instructions are provided in the project documentation. What programming language is used for MCP Token Analyzer? The project is developed using TypeScript.

Learn how to integrate this MCP server with your AI agents and leverage the Model Context Protocol for enhanced capabilities.

Use Cases for this MCP Server

  • No use cases specified.

MCP servers like Remote MCP Server for Analyzing Tokens using CoinGecko Market Data can be used with various AI models including Claude and other language models to extend their capabilities through the Model Context Protocol.

About Model Context Protocol (MCP)

The Model Context Protocol (MCP) is a standardized way for AI agents to communicate with various services and tools. MCP servers like Remote MCP Server for Analyzing Tokens using CoinGecko Market Data provide specific capabilities that can be accessed through a consistent interface, making it easier to build powerful AI applications with complex workflows.

Browse the MCP Directory to discover more servers and clients that can enhance your AI agents' capabilities.