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Crypto Fear & Greed Index MCP Server

MCP Server

Real‑time and historical crypto sentiment data

Stale(55)
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Updated Sep 24, 2025

About

Provides current, historical, and trend analysis of the Crypto Fear & Greed Index from Alternative.me, enabling quick integration into MCP clients for market sentiment insights.

Capabilities

Resources
Access data sources
Tools
Execute functions
Prompts
Pre-built templates
Sampling
AI model interactions

Crypto Fear & Greed Index MCP Server

The Crypto Fear & Greed Index MCP Server bridges the gap between raw market sentiment data and AI‑driven decision making. It taps into the Alternative.me Fear & Greed Index API to deliver real‑time and historical sentiment metrics for the cryptocurrency market, exposing them through MCP resources and tools that can be consumed by any MCP‑compatible client such as Claude Desktop.

Why It Matters

Cryptocurrency markets are notoriously volatile, and sentiment plays a pivotal role in price movements. Traders, analysts, and automated strategies often need a quick snapshot of market mood to inform risk management or entry/exit decisions. By providing a lightweight, API‑like interface over MCP, this server lets AI assistants retrieve and analyze sentiment data without leaving the chat or workflow environment. Developers can now embed market mood queries directly into conversational agents, dashboards, or automated scripts, enabling richer contextual responses and more nuanced financial advice.

Core Capabilities

  • Current Index Retrieval – Fetches the latest Fear & Greed score and its qualitative classification (e.g., Fear, Greed).
  • Historical Data Access – Returns a list of past scores for any number of days, allowing trend construction or back‑testing.
  • Trend Analysis – Calculates averages, direction (rising/falling), and other statistics over a user‑specified window.
  • Tool‑Only Support – Offers function calls (, , ) so clients that cannot access resources directly can still invoke the same logic.
  • Prompt Generation – Supplies a ready‑made prompt template () that instructs the assistant to explain a given score in market terms, facilitating consistent, human‑readable interpretations.

Real‑World Use Cases

  • Sentiment‑Driven Trading Bots – A bot can query the current index and adjust position sizing based on fear or greed thresholds.
  • Financial Chatbots – An AI assistant can answer questions like “What does a score of 45 mean for Bitcoin?” by invoking the prompt template and providing contextual insight.
  • Risk Management Dashboards – Integrate the trend analysis tool into monitoring systems to flag prolonged periods of extreme sentiment.
  • Educational Tools – Use the historical data resource to teach students how market sentiment correlates with price movements over time.

Integration into AI Workflows

Because the server exposes both resources (, ) and corresponding tools, any MCP‑compatible client can seamlessly incorporate it. A conversational agent may simply ask for the current index, and the MCP runtime will route the request to the server, returning a structured response that can be rendered or further processed. For clients limited to tool calls, the same functionality is available via the and related functions. This duality ensures maximum flexibility across a wide range of deployment scenarios.

Unique Advantages

  • Zero‑Dependency Data Feed – Leverages the well‑maintained Alternative.me API, ensuring up‑to‑date sentiment without maintaining a local data pipeline.
  • Unified Interface – The same logic is exposed as both resource URLs and callable tools, simplifying client development.
  • Built‑in Prompt Templates – Provides a consistent interpretation format that reduces the need for custom prompt engineering.
  • Open Source & MIT Licensed – Encourages community contributions and easy integration into proprietary systems without licensing concerns.

By turning raw market sentiment into structured, queryable data, the Crypto Fear & Greed Index MCP Server empowers developers and AI assistants alike to make more informed decisions in the fast‑moving world of cryptocurrency.