
Mcp Server Fear Greed
io.github.ycjcl868由 GitHub 帳號 ycjcl868 發布v1.0.2更新於 Oct 24, 2026
An MCP server for mcp-server-fear-greed
概覽
一個本機 MCP 伺服器,讓助理取得 CNN 恐懼與貪婪指數及美國股市各分項市場情緒評分。
- 可以做什麼
- 取得目前恐懼與貪婪指數分數與評級,以及前收盤、前一週、前一個月和前一年的比較數值,可輸出為 markdown 或原始 JSON。
- 適用情境
- 適合希望助理在對話中直接查詢美國市場目前情緒,或討論恐懼與貪婪指數及其分項指標的情境。
- 執行需求
- 需要 Node.js 18 或更新版本,以及 VS Code、Cursor、Windsurf、Claude Desktop 等 MCP 用戶端;透過 npx 在本機執行,並需要網路存取以取得指數資料。未宣告帳號、API 金鑰或環境變數。
安裝
在 SourceWeft 中
- 開啟 儀表板中的 Mcp Server Fear Greed,將其新增到工作區。
- 為需要使用其工具的對話啟用該服務。
Desktop only,透過 STDIO。 STDIO 服務會啟動本機處理程序,因此需要 SourceWeft 桌面主機。
其他 MCP 客戶端
參照 儲存庫 中的啟動說明。
README
MCP Server Fear & Greed Index
A Model Context Protocol (MCP) server that provides access to the CNN Fear & Greed Index for the US stock market. This server fetches real-time market sentiment data and presents it in both structuredContent and text content.
Features
- Real-time Fear & Greed Index: Get the current market sentiment score (0-100)
- Historical Comparisons: View previous close, week, month, and year data
- Detailed Market Indicators: Access individual component scores including:
- Market Momentum (S&P 500 & S&P 125)
- Stock Price Strength & Breadth
- Put/Call Options Ratio
- Market Volatility (VIX)
- Junk Bond Demand
- Safe Haven Demand
- Flexible Output: Choose between structured markdown or raw JSON format
Requirements
- Node.js 18 or newer
- VS Code, Cursor, Windsurf, Claude Desktop or any other MCP client
Getting Started
Local (Stdio)
First, install the Fear & Greed MCP server with your client. A typical configuration looks like this:
Install in VS Code
You can also install the mcp-server-fear-greed MCP server using the VS Code CLI:
After installation, the Fear & Greed MCP server will be available for use with your GitHub Copilot agent in VS Code.
Install in Cursor
Go to Cursor Settings -> MCP -> Add new MCP Server. Name to your liking, npx mcp-server-fear-greed. You can also verify config or add command like arguments via clicking Edit.
Install in Windsurf
Follow Windsurf MCP documentation. Use following configuration:
Install in Claude Desktop
Follow the MCP install guide, use following configuration:
Remote (SSE / Streamable HTTP)
At the same time, use --port $your_port arg to start the browser mcp can be converted into SSE and Streamable HTTP Server.
You can use one of the two MCP Server remote endpoint:
- Streamable HTTP(Recommended):
http://127.0.0.1::8089/mcp - SSE:
http://127.0.0.1::8089/sse
And then in MCP client config, set the url to the SSE endpoint:
url to the Streamable HTTP:
In-memory call
If your MCP Client is developed based on JavaScript / TypeScript, you can directly use in-process calls to avoid requiring your users to install the command-line interface to use Fear & Greed MCP.
API Reference
Tool: get_fear_greed_index
Fetches the current Fear & Greed Index and related market indicators.
Parameters
format(optional): Output format"structured"(default): Returns formatted markdown with organized data"json": Returns raw JSON data
Example Usage
Response Structure
The tool returns data in the following structure:
Fear & Greed Index Ratings
The index uses the following rating scale:
- 0-25: Extreme Fear
- 26-45: Fear
- 46-55: Neutral
- 56-75: Greed
- 76-100: Extreme Greed
Development
Access http://127.0.0.1:6274/:
Error Handling
The server includes comprehensive error handling:
- Network request failures are caught and reported
- Invalid API responses are handled gracefully
- Missing data fields are filled with sensible defaults
- All errors include descriptive messages
來源:README.md,提交 1feb12e
工具
0版本歷史
1- v1.0.2最新Sep 16, 2026
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