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parquet_mcp_server

@MCP-Mirror

Overview

what is parquet_mcp_server?

parquet_mcp_server is a powerful Model Control Protocol (MCP) server designed for manipulating and analyzing Parquet files, providing essential tools for data scientists and developers.

how to use parquet_mcp_server?

To use parquet_mcp_server, install it via Smithery or clone the repository, set up a virtual environment, and configure the necessary environment variables. Then, integrate it with Claude Desktop for seamless operation.

key features of parquet_mcp_server?

  • Text embedding generation from Parquet file columns.
  • Detailed analysis of Parquet file schemas, row counts, and sizes.
  • Conversion of Parquet files to DuckDB databases for efficient querying.
  • Conversion of Parquet files to PostgreSQL tables with pgvector support.
  • Markdown file processing into structured chunks with metadata.

use cases of parquet_mcp_server?

  1. Data scientists analyzing large datasets in Parquet format.
  2. Applications requiring vector embeddings for text data.
  3. Projects needing to convert and analyze Parquet files.
  4. Workflows leveraging DuckDB for fast data querying.
  5. Applications utilizing PostgreSQL for vector similarity searches.

FAQ from parquet_mcp_server?

  • Can parquet_mcp_server handle all types of Parquet files?

Yes! It is designed to work with various Parquet file structures.

  • Is parquet_mcp_server free to use?

Yes! It is open-source and free for everyone.

  • How can I troubleshoot common issues?

Check the SSL settings, ensure the Ollama server is running, and verify file permissions.

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