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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 →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

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

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0 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Tool
The item describes a custom-built tool for accessing financial data, not a release from a frontier AI lab or a major industry event.
Source corroboration
Single-source cluster
Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics
product, infra
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AI-industry relevance
High
Clearly on-topic for AI-industry coverage.
Story freshness
60 days old
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Full methodology in our editorial standards.

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 …