About Crypto Fear & Greed Index MCP Server
Crypto Fear & Greed Index MCP Server provides real-time and historical Crypto Fear & Greed Index data from Alternative.me. It suits users who want to check market sentiment and trend statistics from an MCP-compatible client such as Claude Desktop.
Key features
- 01Current index value and classification
- 02Historical index values for a chosen number of days
- 03Trend analysis with average value and direction
- 04Tool versions of all resources for tool-only clients
- 05Prompt template for interpreting index values
Use cases
- 01Asking Claude Desktop about current crypto market sentiment
- 02Reviewing index movement over the last 30 days
- 03Having an AI assistant interpret the index for Bitcoin markets
MCP support
The server exposes fng://current and fng://history/{days} resources, analysis tools and an interpret_fng prompt to MCP clients such as Claude Desktop.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project READMECrypto Fear & Greed Index MCP Server
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.
Features
- Current Index: Retrieve the latest Fear & Greed Index value and classification.
- Historical Data: Fetch historical index values for a specified number of days.
- Trend Analysis: Analyze trends over time with statistics like average value and trend direction.
- Tool-Only Support: Includes tool versions of all resources for compatibility with tool-only MCP clients.
- Prompt Generation: Provides a prompt template for interpreting index values.
Resources
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)
...
Tools
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
Prompts
interpret_fng
Index Data Interpretation.
Output:
Please interpret this Crypto Fear & Greed Index value and explain what it means for cryptocurrency markets (specifically Bitcoin): 45
Installation
Installing via Smithery
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"
]
}
}
Examples
After installation, ask:
- "What's the current Crypto Fear & Greed Index?"
- "Show me the Crypto Fear & Greed Index trend for the last 30 days."
Claude will automatically call the appropriate tools and provide responses.
License
This project is licensed under the MIT License. See the LICENSE file for details.
Acknowledgments
- Built with MCP Python SDK.
- Data provided by Alternative.me Fear & Greed Index API.
Comments
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From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.