Crypto Fear Greed Index
HTTP-SSESTDIOReal-time and historical Crypto Fear & Greed Index data provider
Real-time and historical Crypto Fear & Greed Index data provider
A mcp server that provides real-time and historical Crypto Fear & Greed Index data, powered by the Alternative.me.
This server exposes resources and tools for fetching and analyzing the Fear & Greed Index, making it easy to integrate into MCP-compatible clients, including Claude Desktop.
fng://current. Current crypto Fear & Greed Index. Output:Crypto Fear & Greed Index (as of 2025-03-15 00:00:00 UTC):
Value: 45
Classification: Fear
fng://history/{days}. Historical Data of Crypto Fear & Greed Index.Output:Historical Crypto Fear & Greed Index:
2025-03-15 00:00:00 UTC: 45 (Fear)
2025-03-14 00:00:00 UTC: 48 (Fear)
...
get_current_fng_tool() -> str.Current Index. Same as fng://current
get_historical_fng_tool(days: int) -> str.Historical Index Data. Same as fng://history/{days}
analyze_fng_trend(days: int) -> str.Index trend Analysis. Output:
Fear & Greed Index Analysis (30 days):
Latest Value: 45 (Fear) at 2025-03-15 00:00:00 UTC
Average Value: 47.3
Trend: falling
Data points analyzed: 30
interpret_fngIndex Data Interpretation.
Output:
Please interpret this Crypto Fear & Greed Index value and explain what it means for cryptocurrency markets (specifically Bitcoin): 45
To install Crypto Fear & Greed Index for Claude Desktop automatically via Smithery:
npx -y @smithery/cli install @kukapay/crypto-feargreed-mcp --client claude
Clone the repository:
git clone https://github.com/kukapay/crypto-feargreed-mcp.git cd crypto-feargreed-mcp
Install for Claude Desktop
mcp install main.py --name "CryptoFearGreed"
Then enable it in your Claude Desktop configuration.
For other clients, add a server entry to your configuration file:
"mcpServers": { 
  "crypto-feargreed-mcp": { 
    "command": "uv", 
    "args": [ 
      "--directory", "/your/path/to/crypto-feargreed-mcp", 
      "run", 
      "main.py" 
    ]
  } 
}
After installation, ask:
Claude will automatically call the appropriate tools and provide responses.
This project is licensed under the MIT License. See the LICENSE file for details.