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MCP Mix Server

by mlstudios-ai
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Python
  • Apple
  • Linux
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MCP server tutorial

This is the implementation following tutorial from Medium by Alex Merced

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 ~/Library/Application\ Support/Claude/claude_desktop_config.json

For Windows, add the following entry to %APPDATA%\Claude\claude_desktop_config.json

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

Verify server registery

  1. Click on "Searches and tools" option.

2. Click on "mcp-mix-server", you should see the listed tools 3. 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.

Install Server
-
security - not tested
F
license - not found
-
quality - not tested

How are these scores calculated?

local-only server

The server can only run on the client's local machine because it depends on local resources.

Tools

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.

  1. MCP server
    1. MCP client
      1. Claude Desktop
      2. Custom MCP client

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