MCP Servers

MCP Mix Server

A tutorial implementation MCP server that enables analysis of CSV and Parquet files. Allows users to summarize data and query file information through natural language interactions.

README

MCP server tutorial

This is the implementation following tutorial from <a href="https://medium.com/data-engineering-with-dremio/building-a-basic-mcp-server-with-python-4c34c41031ed">Medium by Alex Merced</a>

MCP server

Navigate to your project directory, run these commands in the terminal.

source .venv/bin/activate

python main.py

NOTE: There are no outputs from the terminal - it's normal.

MCP client

Claude Desktop

On MacOS or Linx, add the following entry to <code>~/Library/Application\ Support/Claude/claude_desktop_config.json</code>

For Windows, add the following entry to <code>%APPDATA%\Claude\claude_desktop_config.json</code>

{
  "mcpServers": {
    "mcp-mix-server": {
      "command": "uv",
      "args": [
        "--directory",
        "{ABSOLUTE_PATH}/mcp-mix-server",
        "run",
        "main.py"
      ]
    }
  }
}

Verify server registery

Click on "Searches and tools" option. <image src="./images/claude-desktop-mcp-server-registry.png"></image>
Click on "mcp-mix-server", you should see the listed tools <image src="./images/claude-desktop-mcp-tools.png"></image>
Test with the following queries:
- “Summarize the CSV file named sample.csv.”
- “How many rows are in sample.parquet?”

Custom MCP client

Alternatively, implement custom MCP Client. Exaple from https://github.com/mlstudios-ai/mcp-mix-client.

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