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Crypto Fear & Greed Index MCP Server

by kukapay

A MCP server providing real-time and historical Crypto Fear & Greed Index data, powered by Alternative.me. It integrates easily into MCP-compatible clients like Claude Desktop.

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What is Crypto Fear & Greed Index MCP Server?

This server provides access to the Crypto Fear & Greed Index, a measure of market sentiment, through the Model Context Protocol (MCP). It allows users to retrieve current and historical index values, analyze trends, and generate prompts for interpreting the data.

How to use Crypto Fear & Greed Index MCP Server?

Install the server using the provided instructions for Claude Desktop or by adding a server entry to your MCP client configuration. Once installed, you can query the server using natural language prompts, such as "What's the current Crypto Fear & Greed Index?" or "Show me the Crypto Fear & Greed Index trend for the last 30 days."

Key features of Crypto Fear & Greed Index MCP Server

  • Current Index retrieval

  • Historical Data fetching

  • Trend Analysis

  • Tool-Only Support for MCP clients

  • Prompt Generation for interpretation

Use cases of Crypto Fear & Greed Index MCP Server

  • Market sentiment analysis

  • Informing trading decisions

  • Integrating market data into AI assistants

  • Generating insights on cryptocurrency market behavior

FAQ from Crypto Fear & Greed Index MCP Server

What is the Crypto Fear & Greed Index?

It's a measure of market sentiment, ranging from 0 (Extreme Fear) to 100 (Extreme Greed).

Where does the data come from?

The data is provided by the Alternative.me Fear & Greed Index API.

How do I install this server for Claude Desktop?

Use the command mcp install main.py --name "CryptoFearGreed" and then enable it in your Claude Desktop configuration.

Can I use this server with other MCP clients?

Yes, you can add a server entry to your client's configuration file with the provided command and arguments.

What kind of trend analysis is available?

The server provides average index values and trend direction over a specified number of days.