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Query and analyze CyberQuant financial data through AI with token-efficient CSV output.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "CyberQuant MCP Server" yet — see the docs or source repo.
Use the CyberQuant MCP to retrieve AAPL daily price data for the past 12 months, then summarize the trend, volatility range, and unusual dates based on the CSV output.
Returns the relevant financial data and a CSV-based trend analysis with key observations.
Use CyberQuant MCP to fetch performance data for gold, the S&P 500, and Bitcoin over the last quarter, then compare returns, max drawdown, and volatility and provide conclusions.
Outputs comparative multi-asset data and a concise performance and risk analysis.
Use CyberQuant MCP to query a public company's revenue, net income, and margin data for the last 8 quarters, identify major trends, and turn them into a research summary.
Returns structured financial data and a summary suitable for a research report.
Analyze US stocks with explainable ratings, support levels, stops, and reasoning.
Retrieve Japanese stock market data for analysis, querying, and research workflows.
Provide AI assistants with real-time market data, company metrics, and historical prices.
Access stock quotes, historical data, and technical indicators through MCP.
Find and compare MCP servers for AI finance agent workflows.
Query massive US equity quant data for read-only cross-sectional analysis.