DeepSpringAI_parquet_mcp_server

DeepSpringAI_parquet_mcp_server

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databasesdeveloper_toolsknowledge_and_memory

The parquet_mcp_server is designed to facilitate the manipulation and analysis of Parquet files, offering integration with DuckDB and PostgreSQL for efficient data handling and text embedding. It is ideal for data scientists and applications requiring advanced data processing and conversion features.

Overview

parquet_mcp_server is a powerful MCP (Model Control Protocol) server designed to manipulate and analyze Parquet files. It offers five key functionalities:

  • Text Embedding Generation: Convert text columns in Parquet files into vector embeddings.
  • Parquet File Analysis: Extract detailed information about Parquet files including schema, row count, and file size.
  • DuckDB Integration: Convert Parquet files to DuckDB databases for efficient querying.
  • PostgreSQL Integration: Convert Parquet files to PostgreSQL tables with pgvector support.
  • Markdown Processing: Convert Markdown files into chunked text with metadata.