Fear & Greed Index MCP Server
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Server capabilities have not been inspected yet.
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| get_fear_greed_indexA | Get US stock market Fear & Greed Index data. Returns comprehensive market sentiment analysis including the main composite index and 7 individual indicators (market momentum, stock price strength/breadth, options sentiment, volatility, safe haven demand, junk bond demand). Each indicator includes score (0-100), rating, and timestamp. See schema for detailed field descriptions. |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 1 tool
With only one tool, there is no possibility of ambiguity or overlap between tools. The tool's purpose is clearly defined and singular.
The single tool name 'get_fear_greed_index' follows a clear verb_noun pattern, and with no other tools, consistency is inherently perfect.
One tool is too few for a server's purpose, as it limits functionality and flexibility. A single tool feels thin and under-scoped, even for a focused domain like market sentiment.
The tool provides comprehensive data retrieval for the Fear & Greed Index, but there are notable gaps such as no historical data access, filtering, or comparison tools. This limits agents to a single, static operation.