MCP Connector

Access Yahoo Finance Stock Data

Connect to Yahoo Finance to retrieve stock, market sentiment, and financial news data.


91
Spark score
out of 100
Updated Jul 2025
Version 1.0.0
Models
universal

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Why it matters

Integrate your AI with Yahoo Finance to access comprehensive stock market data, including financial metrics, news, price history, and earnings reports.

Outcomes

What it gets done

01

Retrieve detailed stock information and financial metrics.

02

Fetch recent news articles and search for financial instruments.

03

Access historical price data and option chain information.

04

Get earnings reports and top companies by sector.

Install

Add it to your toolbox

Run in your project directory:

curl -fsSL https://spark.entire.vc/get/vb-yahoo-finance | bash

Capabilities

Tools your agent gets

get-ticker-info

Retrieve comprehensive stock information including company details, financial metrics, and trading metrics

get-ticker-news

Fetch recent news articles for a given stock symbol

search

Search for stocks, ETFs, and other financial instruments with associated news results

get-top-entities

Retrieve top companies in a sector including companies, ETFs, and mutual funds

get-price-history

Retrieve historical price data with customizable periods and intervals

ticker-option-chain

Retrieve option chain data for stocks including call and put options

ticker-earning

Retrieve earnings data including historical and upcoming earnings reports

Overview

Yahoo Finance MCP Server

This listing is for the Yahoo Finance MCP Server, which allows AI agents to access data from Yahoo Finance. This listing is relevant when building AI agents that require financial data.

What it does

Connect to Yahoo Finance to retrieve stock, market sentiment, and financial news data.

To test your setup, you can use the MCP Inspector:

# Install MCP Inspector
npm install -g @modelcontextprotocol/inspector

# Test a server
npx @modelcontextprotocol/inspector uvx run youtube-dlp-server
Source README

AgentX MCP Servers Collection

Documentation
Website
Discord
YouTube Demo
License: MIT

๐Ÿค– AgentX makes it effortless to connect to production-ready MCP servers, empowering builders to create powerful AI agents with minimal setup. Get your AI agents talking to the world's services in minutes, not months.

๐Ÿ—‚๏ธ Available MCP Servers

YouTube DLP Server

Extract video information, subtitles, and comments from YouTube

๐Ÿ“ˆ Yahoo Finance Server

Get real-time stock, marco eco, market sentiment, financial news, etc from Yahoo Finance

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Apollo MCP Server

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๐Ÿ”„ More Servers Coming Soon...


๐ŸŽฏ What is MCP?

Model Context Protocol (MCP) is an open standard that enables AI models to securely access external tools, data sources, and services. Think of it as a universal API that lets your AI agents interact with databases, web services, file systems, and more.

โšก Why AgentX MCP Servers?

  • ๐Ÿš€ Production-Ready - Battle-tested servers used by thousands of developers
  • ๐Ÿ”ง Plug & Play - Install with one command, zero configuration required
  • ๐ŸŒ Universal Compatibility - Works with Claude, GPT, and any MCP-compatible AI
  • ๐Ÿ›ก๏ธ Enterprise Grade - Built with security, reliability, and performance in mind
  • ๐Ÿ“ฆ Growing Ecosystem - New integrations added regularly based on community needs

We're actively developing MCP servers.

Want a specific integration? Request it here!

๐Ÿงช Testing Your Setup

Use the MCP Inspector to test any server:

# Install MCP Inspector
npm install -g @modelcontextprotocol/inspector

# Test a server
npx @modelcontextprotocol/inspector uvx run youtube-dlp-server

๐Ÿ—๏ธ For Developers

Creating Your Own MCP Server

Each python server in this collection follows our proven template:

your_server/
โ”œโ”€โ”€ src/your_server/
โ”‚   โ”œโ”€โ”€ __init__.py
โ”‚   โ”œโ”€โ”€ __main__.py      # Entry point
โ”‚   โ”œโ”€โ”€ server.py        # MCP server logic
โ”‚   โ””โ”€โ”€ helper.py        # Business logic
โ”œโ”€โ”€ pyproject.toml       # Dependencies & metadata
โ”œโ”€โ”€ README.md           # Server-specific docs
โ””โ”€โ”€ LICENSE             # MIT License

๐Ÿค Contributing

We welcome contributions! Here's how to help:

  1. โญ Star this repo - Show your support
  2. ๐Ÿ› Report bugs - Open an issue
  3. ๐Ÿ’ก Request features - Tell us what integrations you need
  4. ๐Ÿ”ง Submit PRs - Add new servers or improve existing ones
  5. ๐Ÿ“– Improve docs - Help others get started faster

Development Workflow

# 1. Fork & clone
git clone https://github.com/yourusername/AgentX-mcp-servers.git

# 2. Create feature branch
git checkout -b feature/awesome-server

# 3. Make changes & test
cd your_new_server
npm run test

# 4. Submit PR
git push origin feature/awesome-server

๐Ÿ“ž Support & Community

๐Ÿ“„ License

All servers are released under the MIT License. Free for commercial and personal use.


๐Ÿš€ Ready to supercharge your AI agents?

Get Started โ€ข Join Discord โ€ข Watch Demo

FAQ

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