Alpha Vantage Stock Analysis MCP Server
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Alternatives to Alpha Vantage Stock Analysis MCP Server
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- FlicenseNot gradedqualityDmaintenanceEnables AI models to access real-time financial market data including stock quotes, fundamentals, daily prices, symbol search, and market status via the Alpha Vantage API. Works with any MCP-compatible client like Claude Desktop for natural language interaction.-
- -licenseNot gradedqualityDmaintenanceProvides real-time and historical stock market data through the Alpha Vantage API. Enables users to get current stock prices and retrieve historical stock data for any major stock symbol via natural language queries.-
- AlicenseCqualityDmaintenanceProvides access to real-time and historical stock market data through the Alpha Vantage API, enabling financial analysis and market data queries through natural language.10038 PyPI74Apache 2.0
- AlicenseNot gradedqualityAmaintenanceProvides real-time stock market data for Claude Desktop and MCP-compatible clients, enabling natural language queries for quotes, historical prices, company profiles, financial statements, analyst ratings, comparisons, news, options, holdings, dividends, estimates, symbol search, and market status.204 npm19MIT
- AlicenseNot gradedqualityCmaintenanceEnables access to stock and financial data from Alpha Vantage, including stocks, forex, cryptocurrencies, commodities, and technical indicators, through natural language queries.1MIT
- FlicenseNot gradedqualityDmaintenanceProvides real-time access to financial market data including stock quotes, company information, cryptocurrency exchange rates, historical options chains, and time series data through the Alpha Vantage API.-
TDQS
Scored across 3 tools
The tools are highly ambiguous and overlapping. 'get-daily-stock-data' and 'get-stock-data' appear to serve nearly identical purposes, with no description to clarify differences. 'get-stock-alerts' might be distinct but lacks context, making it unclear how it differs from the data retrieval tools. This setup will likely cause frequent agent misselection.
The naming follows a consistent pattern with kebab-case and a 'get-' verb prefix across all tools, which is predictable and readable. However, the lack of descriptions prevents full evaluation of semantic consistency, but structurally, the naming is uniform.
With only 3 tools, this server feels under-scoped for a stock analysis domain, which typically requires more operations like historical data, indicators, or portfolio management. The count is too low to provide comprehensive coverage, limiting agent capabilities.
The tool set is severely incomplete for stock analysis. It lacks essential operations such as intraday data, technical indicators, company fundamentals, or search functions. With only basic data retrieval and alerts, agents will face dead ends and cannot perform meaningful analysis.