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Analyze domestic futures data, check quality, and generate markdown reports via MCP.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "futures-analysis-mcp" yet — see the docs or source repo.
Use futures-analysis-mcp to fetch the last 30 trading days of OHLCV data for a domestic futures contract and return it sorted by date.
A date-sorted OHLCV dataset for the specified contract, ready for further analysis.
Check the quality of this domestic futures historical dataset, identify missing values, outliers, or time-series gaps, and provide a brief conclusion.
A data quality assessment highlighting key issues and an overall usability conclusion.
Analyze key market metrics for a specified domestic futures contract and generate a brief report in Markdown format.
A Markdown report containing key metrics and concise analytical findings.
Before analyzing domestic futures markets, researchers can fetch OHLCV data and validate data quality first, then review market metrics. This helps reduce bias caused by missing or abnormal data.
Data analysts can use this tool to turn futures analysis results into Markdown reports for sharing and archiving. It fits workflows that require repeatable, structured reporting.
Developers can call this service through the Model Context Protocol to integrate futures data retrieval, quality checks, and analysis into AI or automation workflows. This makes it easier to chain multiple analysis steps together.
It is an MCP server for domestic futures analytics. It can fetch OHLCV data, check data quality, analyze market metrics, and generate Markdown reports.
The provided information explicitly says it can generate Markdown reports. Other output formats are not specified.
It is known to work through the Model Context Protocol, so it should be used in an MCP-compatible environment. Specific installation steps, dependencies, and key requirements are not provided here; see the source repository.
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