"Apache Parquet" matching MCP servers:

Enables querying and replaying deterministic market data for crypto and US equities from a local Parquet lake via natural language.

Enables market-data analysis and quantitative research over a local Parquet lake with tools for bars, indicators, scans, backtests, and safe SQL queries.

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.

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.

Local-first MCP server for credit risk analysis. It enables explainable rule discovery, statistical validation, PSI drift monitoring, and root-cause diagnosis on user-approved Parquet data while preserving privacy.

Lets Claude search the WRDS catalog, check which datasets and years are available, and run read-only SQL queries or export results to CSV, Parquet, or Excel. Enforces the WRDS AI policy by restricting row-level queries to AI-allowed sources and returning only metadata and counts for other libraries.

A Model Context Protocol server that provides access to Databento's historical and real-time market data, including trades, OHLCV bars, and order book depth. It enables AI assistants to perform financial data analysis, manage batch jobs, and convert market data between DBN and Parquet formats.

Enables AI-driven banking workflows through secure interaction with Apache Fineract/MifosX Self-Service APIs, including authentication, account management, loans, savings, and transfers.