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Provides a foundational server implementation for Dremio's Materialized Centralized Processing (MCP) protocol, enabling file-based data interactions.
About
This project offers a fundamental Materialized Centralized Processing (MCP) server, built in Python, that serves as a practical implementation of a Dremio tutorial. It demonstrates how to establish a server capable of interacting with MCP clients, such as Claude Desktop, to process local data files. Users can leverage this server to perform operations like summarizing CSV files or querying metadata from Parquet files, providing a clear example of how to extend a client's capabilities through custom tools.
Key Features
- Supports basic operations on local CSV and Parquet files
- 0 GitHub stars
- Integrates with Claude Desktop and custom MCP clients
- Built following a Dremio MCP server tutorial
- Implements basic Materialized Centralized Processing (MCP) server protocol
- Demonstrates file summarization and metadata queries
Use Cases
- Developing custom tools accessible through an MCP framework
- Extending MCP client capabilities for local data file interaction
- Learning and demonstrating Dremio's MCP server development
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