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by unravel-team • Data & Databases
An MCP server that lets Claude analyze local CSV or Parquet files without uploading full datasets.
Analyze large local CSV or Parquet datasets without uploading them to a remote service.
Integrate Claude with local data files on a developer workstation by adding an MCP server entry.
Process multiple files in a directory (using globs) to aggregate or query tabular data across files.
MCP Analyst provides an MCP-compatible server that exposes local CSV or Parquet files to Claude via the uv-based MCP framework. It is intended for workflows where datasets are larger than the model context window or when you want to avoid uploading full files to reduce cost. The README includes setup instructions for uv and how to add the server to Claude's mcpServers configuration, and it supports file globs to handle multiple files in a directory.
Get the list of files that are source of data
Get the schema of a single data file from the given file location
Reads the data from the given file locations. Note that file_locations can be a list of multiple files. However, all files must have the same schema and the same columns. Executes the given polars sql query and returns the result. Note that the polars sql query must use the table name as `self` to refer to the source data.
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