yahoo-finance-mcp-server
Related Servers
Alternatives to yahoo-finance-mcp-server
No user-submitted related servers found.
Related Servers
- AlicenseNot gradedqualityCmaintenanceAn MCP server that exposes real-time financial data tools for stock search, company info, historical prices, and financial metrics from Yahoo Finance, enabling AI agents to answer natural-language questions about stocks and financial markets.MIT
- AlicenseBqualityBmaintenanceA Model Context Protocol (MCP) server for agentic retrieval of financial data from Yahoo Finance, enabling stock information, historical data, analyst data, and more.71108 PyPI3AGPL 3.0
- AlicenseNot gradedqualityCmaintenanceA production-grade MCP server that provides AI assistants with real-time financial market data, company metrics, and historical prices using yfinance and FastMCP.MIT
- AlicenseAqualityAmaintenanceA simple MCP server for Yahoo Finance using yfinance. This server provides a set of tools to fetch stock data, news, and other financial information.15195MIT
- FlicenseNot gradedqualityCmaintenanceMCP server wrapping yfinance to provide stock market data, financials, and analytics via 24 tools.-
- AlicenseAqualityAmaintenanceMCP server that exposes Yahoo Finance data through tools for searching instruments, fetching quotes, history, company info, financials, dividends, news, recommendations, and options. Enables AI assistants to answer market-data questions using natural language.2266 PyPIMIT
TDQS
Scored across 24 tools
Most tools target distinct data types (historical prices, quotes, earnings, etc.), but get_quote and get_ticker_info both provide price information, and lookup/search both find instruments, though descriptions clarify their specific uses.
All tool names follow a consistent verb_noun pattern using snake_case (e.g., get_historical_prices, search, screen_predefined), making usage predictable.
24 tools cover a broad range of Yahoo Finance data without being excessive; each tool serves a specific purpose and the count is well-suited to the domain.
The set covers most major finance data categories (prices, fundamentals, options, holders, filings, news), but lacks some common features like technical analysis or portfolio tracking, which are minor gaps.