Crypto Fear & Greed Index MCP Server

What does “Crypto Fear & Greed Index” MCP Server do?

The Crypto Fear & Greed Index MCP Server is a specialized Model Context Protocol (MCP) server that provides real-time and historical data about the cryptocurrency market’s sentiment, as measured by the Fear & Greed Index. Powered by Alternative.me, this server enables AI assistants and development platforms to fetch current index values, analyze historical trends, and perform sentiment analysis on cryptocurrency markets. By exposing resources and tools for retrieving and interpreting this data, the server facilitates integration with MCP-compatible clients, allowing for enhanced workflows in financial analysis, market research, and automated trading strategies. Developers can use this server to easily incorporate up-to-date market sentiment insights into their applications, dashboards, or AI agents.

List of Prompts

• Prompt template for interpreting index values
  Provides a reusable prompt template designed to help AI or LLM agents interpret Fear & Greed Index values. (No explicit template text is provided, but prompt generation is mentioned as a feature in the README.)

List of Resources

• fng://current
  Retrieves the current Crypto Fear & Greed Index value and its classification (e.g., Fear, Greed).

• fng://history/{days}
  Fetches historical data for the Crypto Fear & Greed Index for a specified number of days, showing value and classification for each day.

List of Tools

• get_current_fng_tool()
  Fetches the current Crypto Fear & Greed Index value and classification. This tool provides the same data as the fng://current resource.

Use Cases of this MCP Server

• Market Sentiment Analysis
  AI assistants can use real-time and historical index values to gauge overall market sentiment, aiding in investment and trading decisions.

• Automated Trading Strategies
  Bots and agents can incorporate Fear & Greed Index data into their algorithms to adjust trading behavior based on prevailing market emotions.

• Financial Dashboards & Alerts
  Developers can embed the index into dashboards, providing users with immediate insights or triggering alerts when sentiment shifts significantly.

• Research & Reporting
  Analysts and researchers can automatically pull historical sentiment data to analyze trends and prepare reports on crypto market psychology.

How to set it up

Windsurf

1. Ensure you have Node.js installed.
2. Locate your Windsurf configuration file.
3. Add the Crypto Fear & Greed Index MCP Server using a JSON snippet.
4. Save the configuration and restart Windsurf.
5. Verify the server is connected and operational.

{
  "mcpServers": {
    "crypto-feargreed-mcp": {
      "command": "npx",
      "args": ["@crypto-feargreed-mcp@latest"]
    }
  }
}

Securing API Keys Example:

{
  "mcpServers": {
    "crypto-feargreed-mcp": {
      "command": "npx",
      "args": ["@crypto-feargreed-mcp@latest"],
      "env": {
        "API_KEY": "${FEARGREED_API_KEY}"
      }
    }
  }
}

Claude

1. Install Node.js if not present.
2. Open Claude’s configuration directory.
3. Add the MCP server in the mcpServers section.
4. Save configuration and restart Claude.
5. Confirm the index server appears as a tool.

{
  "mcpServers": {
    "crypto-feargreed-mcp": {
      "command": "npx",
      "args": ["@crypto-feargreed-mcp@latest"]
    }
  }
}

Securing API Keys Example:

{
  "mcpServers": {
    "crypto-feargreed-mcp": {
      "command": "npx",
      "args": ["@crypto-feargreed-mcp@latest"],
      "env": {
        "API_KEY": "${FEARGREED_API_KEY}"
      }
    }
  }
}

Cursor

1. Ensure Node.js is installed.
2. Find Cursor’s configuration file.
3. Insert the Crypto Fear & Greed MCP server under mcpServers.
4. Restart Cursor for changes to take effect.
5. Check the tool availability in Cursor.

{
  "mcpServers": {
    "crypto-feargreed-mcp": {
      "command": "npx",
      "args": ["@crypto-feargreed-mcp@latest"]
    }
  }
}

Securing API Keys Example:

{
  "mcpServers": {
    "crypto-feargreed-mcp": {
      "command": "npx",
      "args": ["@crypto-feargreed-mcp@latest"],
      "env": {
        "API_KEY": "${FEARGREED_API_KEY}"
      }
    }
  }
}

Cline

1. Make sure Node.js is available.
2. Access your Cline configuration.
3. Register the MCP server in the mcpServers object.
4. Save and restart Cline.
5. Validate the integration.

{
  "mcpServers": {
    "crypto-feargreed-mcp": {
      "command": "npx",
      "args": ["@crypto-feargreed-mcp@latest"]
    }
  }
}

Securing API Keys Example:

{
  "mcpServers": {
    "crypto-feargreed-mcp": {
      "command": "npx",
      "args": ["@crypto-feargreed-mcp@latest"],
      "env": {
        "API_KEY": "${FEARGREED_API_KEY}"
      }
    }
  }
}

How to use this MCP inside flows

Using MCP in FlowHunt

To integrate MCP servers into your FlowHunt workflow, start by adding the MCP component to your flow and connecting it to your AI agent:

Click on the MCP component to open the configuration panel. In the system MCP configuration section, insert your MCP server details using this JSON format:

{
  "crypto-feargreed-mcp": {
    "transport": "streamable_http",
    "url": "https://yourmcpserver.example/pathtothemcp/url"
  }
}

Once configured, the AI agent is now able to use this MCP as a tool with access to all its functions and capabilities. Remember to change “crypto-feargreed-mcp” to whatever the actual name of your MCP server is and replace the URL with your own MCP server URL.

Overview

Based on the available information, this MCP server is straightforward, well-licensed, and functional for its narrow domain. However, it is limited in scope, with only one explicit tool and prompt. Sampling and roots support are not documented.

Our opinion

This MCP server is practical and focused, providing valuable access to a specific financial sentiment index. Its documentation covers setup on common platforms and gives clear resource and tool descriptions, but lacks advanced features such as sampling or roots. Score: 7/10 for utility in its domain.

MCP Score