No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by Alex2Yang97 · MCP Server · ★ 353
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is yahoo-finance-mcp safe to install? View the security audit →
Yahoo Finance MCP Server English | 中文 This is a Model Context Protocol (MCP) server that provides comprehensive financial data from Yahoo Finance. It allows you to retrieve detailed information about stocks, including historical prices, company information, financial statements, options data, and market news. Demo MCP Tools The server exposes the following tools through the Model Context Protocol: Stock Information Financial Statements Get major holders, institutional holders, mutual funds, or insid
| Stars | 353 |
| Forks | 163 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 78.7229924577577/100 |
| Open Issues | 10 |
| Last Updated | 2026-09-19 |
| Created | 2025-04-06 |
| Platforms | mcp, python |
| Est. Tokens | ~14k |
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yahoo-finance-mcp is This is a Model Context Protocol (MCP) server that provides comprehensive financial data from Yahoo Finance. It allows you to retrieve detailed information about stocks, including historical prices, c. It is categorized as a MCP Server with 353 GitHub stars.
yahoo-finance-mcp is primarily written in Python. It covers topics such as mcp, mcp-server, yahoo-finance.
You can find installation instructions and usage details in the yahoo-finance-mcp GitHub repository at github.com/Alex2Yang97/yahoo-finance-mcp. The project has 353 stars and 163 forks, indicating an active community.
yahoo-finance-mcp is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to yahoo-finance-mcp on Agent Skills Hub include maverick-mcp, yfinance-mcp, yahoo-finance2. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: