Converts Quicken QIF files into a queryable DuckDB database and exposes financial data through MCP tools, enabling LLMs to query transactions, accounts, and summaries.
Read-only SQL MCP server for quantitative finance data (DuckDB) with stock quotes, financials, and historical K-lines, enabling cross-database JOIN queries.
Enables AI assistants to load Pakistan Stock Exchange data such as prices, screener metrics, index constituents, sectors, filings, debt market instruments, and margin-eligible scrips into a private in-memory DuckDB. It then lets them answer natural-language questions by running constrained SQL queries over the loaded tables.
Enables read-only access to market data and analytics through one vendor-neutral schema, with Alpaca built in and other providers pluggable. Large results are kept out of the model's context in a local DuckDB store the model queries with read-only SQL, and common analytics such as returns, volatility, correlation, drawdown and beta are computed on those stored results.
Provides 11 tools for stock research, including search, market history, financial statements, announcements, and data quality checks, with a local-first architecture using DuckDB and Parquet.
A local, fully vectorized computational engine for stock market analysis that enables AI to perform factor calculation, strategy backtesting, IC analysis, and GPU-based multi-dimensional visualization using local DuckDB data.
MCP server for Indian mutual fund NAV analytics. It provides tools to search funds, compute returns, and analyze categories using DuckDB over parquet data, supporting local files or Azure Blob.
Enables querying Indian mutual fund NAV analytics via DuckDB, offering tools for fund search, point-to-point returns, category rankings, and more, using local or Azure parquet data.
Enables remote AI agents to fetch and sync Binance spot candlestick data, cached in DuckDB and exposed over HTTP, with support for multiple intervals and automatic retention pruning.