- parquet_mcp_server
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?
- Data scientists analyzing large datasets in Parquet format.
- Applications requiring vector embeddings for text data.
- Projects needing to convert and analyze Parquet files.
- Workflows leveraging DuckDB for fast data querying.
- 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.
Project Info
Created At
a year agoUpdated At
a year agoAuthor Name
MCP-MirrorStar
0Language
PythonLicense
-Category
research-and-data
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