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Developer builds AI-accessible SQL server for 31M stock data records

A developer has created Shibui Finance, an MCP server that provides direct SQL access to a vast dataset of US stock market information for AI models like Claude. The system ingests data from various sources including commercial APIs, SEC EDGAR filings, and FRED, processing it through PostgreSQL and dbt before exporting it to DuckDB. This architecture allows for efficient querying of 31 million price records, quarterly financials, technical indicators, and SEC filing data, with query times reduced from minutes to milliseconds by pre-computing indicators. AI

IMPACT Enables AI models to directly query and analyze extensive historical financial data, potentially improving investment strategies and market analysis.

RANK_REASON The item describes a custom-built tool for accessing financial data, not a release from a frontier AI lab or a major industry event.

Read on dev.to — MCP tag →

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Developer builds AI-accessible SQL server for 31M stock data records

COVERAGE [1]

  1. dev.to — MCP tag TIER_1 English(EN) · Christian Richter ·

    Building an MCP Server on 31 Million Rows of Financial Data

    <p>This is the architecture of <a href="https://shibui.finance" rel="noopener noreferrer">Shibui Finance</a>, an MCP server that gives Claude direct SQL access to 64 years of US stock market data. About 10,000 symbols, 31 million daily price records, quarterly financials back to …