Mcp Server Fear Greed

io.github.ycjcl868Published by GitHub account ycjcl868v1.0.2Updated Oct 24, 2026

An MCP server for mcp-server-fear-greed

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Overview

AI-generated overview

A local MCP server that lets an assistant fetch the CNN Fear & Greed Index and its component market-sentiment scores for the US stock market.

What you can do
Retrieve the current Fear & Greed Index score and rating, plus previous close, week, month and year values for comparison, as markdown or raw JSON.
When to use it
Useful when you want an assistant to look up current US market sentiment or discuss the Fear & Greed Index and its components without leaving the chat.
Requirements
Node.js 18 or newer and an MCP client such as VS Code, Cursor, Windsurf or Claude Desktop; runs locally via npx and needs network access to fetch the index data. No accounts, API keys or environment variables are declared.
Before you install
The server makes outbound network requests to retrieve index data, and failures or malformed responses are reported as errors. Data is informational market sentiment, not investment advice; verify figures before relying on them.

Installation

In SourceWeft

  1. Open Mcp Server Fear Greed in the dashboard and add it to a workspace.
  2. Enable the server for the chats that should use its tools.

Desktop only via STDIO. STDIO servers start a local process, so they need the SourceWeft desktop host.

Other MCP clients

Follow the launch instructions in the repository.

README

MCP Server Fear & Greed Index

[NPM Downloads]

[Install MCP Server]

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.

[Image]

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:

js
{  "mcpServers": {    "mcp-server-fear-greed": {      "command": "npx",      "args": [        "-y",        "mcp-server-fear-greed@latest"      ]    }  }}
Install in VS Code

You can also install the mcp-server-fear-greed MCP server using the VS Code CLI:

bash
# For VS Codecode --add-mcp '{"name":"mcp-server-fear-greed","command":"npx","args":["mcp-server-fear-greed@latest"]}'

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.

js
{  "mcpServers": {    "mcp-server-fear-greed": {      "command": "npx",      "args": [        "mcp-server-fear-greed@latest"      ]    }  }}
Install in Windsurf

Follow Windsurf MCP documentation. Use following configuration:

js
{  "mcpServers": {    "mcp-server-fear-greed": {      "command": "npx",      "args": [        "mcp-server-fear-greed@latest"      ]    }  }}
Install in Claude Desktop

Follow the MCP install guide, use following configuration:

js
{  "mcpServers": {    "mcp-server-fear-greed": {      "command": "npx",      "args": [        "mcp-server-fear-greed@latest"      ]    }  }}

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.

bash
# normal run remote mcp servernpx mcp-server-fear-greed --port 8089

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:

js
{  "mcpServers": {    "mcp-server-fear-greed": {      "url": "http://127.0.0.1::8089/sse"    }  }}

url to the Streamable HTTP:

js
{  "mcpServers": {    "mcp-server-fear-greed": {      "type": "streamable-http", // If there is MCP Client support      "url": "http://127.0.0.1::8089/mcp"    }  }}

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.

js
import { Client } from '@modelcontextprotocol/sdk/client/index.js';import { InMemoryTransport } from '@modelcontextprotocol/sdk/inMemory.js';
// type: module project usageimport { createServer } from 'mcp-server-fear-greed';// commonjs project usage// const { createServer } = await import('mcp-server-fear-greed')
const client = new Client(  {    name: 'test fear greed client',    version: '1.0',  },  {    capabilities: {},  },);
const server = createServer();const [clientTransport, serverTransport] = InMemoryTransport.createLinkedPair();
await Promise.all([  client.connect(clientTransport),  server.connect(serverTransport),]);
// list toolsconst result = await client.listTools();console.log(result);
// call toolconst toolResult = await client.callTool({  name: 'get_fear_greed_index',  arguments: {    format: 'json'  },});console.log(toolResult);

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
javascript
// Get structured outputawait client.callTool("get_fear_greed_index");
// Get JSON outputawait client.callTool("get_fear_greed_index", { format: "json" });
Response Structure

The tool returns data in the following structure:

json
{  "fear_and_greed": {    "score": 75,    "rating": "greed",    "timestamp": "2025-07-18T23:59:57+00:00",    "previous_close": 75.31,    "previous_1_week": 75.26,    "previous_1_month": 54.29,    "previous_1_year": 45.94  },  "fear_and_greed_historical": {    "timestamp": 1752883197000,    "score": 75,    "rating": "greed"  },  "market_momentum_sp500": {    "timestamp": 1752871567000,    "score": 61.2,    "rating": "greed"  },  "market_momentum_sp125": {    "timestamp": 1752871567000,    "score": 61.2,    "rating": "greed"  },  "stock_price_strength": {    "timestamp": 1752883197000,    "score": 80,    "rating": "extreme greed"  },  "stock_price_breadth": {    "timestamp": 1752883197000,    "score": 84,    "rating": "extreme greed"  },  "put_call_options": {    "timestamp": 1752871897000,    "score": 79.6,    "rating": "extreme greed"  },  "market_volatility_vix": {    "timestamp": 1752869701000,    "score": 50,    "rating": "neutral"  },  "market_volatility_vix_50": {    "timestamp": 1752869701000,    "score": 50,    "rating": "neutral"  },  "junk_bond_demand": {    "timestamp": 1752877800000,    "score": 88.8,    "rating": "extreme greed"  },  "safe_haven_demand": {    "timestamp": 1752868799000,    "score": 81.4,    "rating": "extreme greed"  }}

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/:

bash
npm run dev

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

Source: README.md at commit 1feb12e

Tools

0
SourceWeft has not started this package in its sandbox yet, so its tools are not known.

Version history

1
  1. v1.0.2LatestSep 16, 2026

Score

50% of the applicable checks met

How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.

  • Reached in the last 30 days25 pts

    Keep the endpoint answering the MCP handshake; SourceWeft probes it every 30 days.

  • Auth declared10 pts

    Declare the credential headers in the registry entry, or keep the endpoint answering the probe so its auth can be classified.

  • Tools listed15 pts

    Answer tools/list without a credential, or ship a package that starts in a sandbox without one.

  • DescriptionRequired15 pts
  • Logo10 pts
  • Documentation15 pts
  • License10 pts