🧠 MCP Server: Local AI Tooling with Python

@Hassenamri005

About 🧠 MCP Server: Local AI Tooling with Python

An MCP server that reads a CSV file.

Config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "mcp-server-example-hassenamri005": {
      "command": "uv",
      "args": [
        "venv"
      ]
    }
  }
}

Tools

No tools detected

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is 🧠 MCP Server: Local AI Tooling with Python?

This project sets up a lightweight Model Context Protocol (MCP) server using Python, enabling AI assistants like Claude to interact with local data files such as CSV and Parquet. By integrating with Claude for Desktop, you can perform tasks like summarizing datasets or retrieving specific information through natural language queries.

How to use 🧠 MCP Server: Local AI Tooling with Python?

Install uv, clone the repository, create a virtual environment, and install dependencies (mcp[cli], pandas, pyarrow). Then add a configuration entry to your Claude Desktop settings with absolute paths to the Python interpreter and mix_server.py. Once configured, use natural language prompts such as "Summarize the contents of data.csv" to interact with your data.

Key features of 🧠 MCP Server: Local AI Tooling with Python

Local MCP server (mix_server) for Claude communication
CSV and Parquet readers for tabular data
Modular structure for easy tool expansion
Seamless integration with Claude for Desktop

Use cases of 🧠 MCP Server: Local AI Tooling with Python

Summarize the contents of a CSV file
Retrieve row and column counts from a Parquet dataset
Query specific information from local tabular data via natural language

FAQ from 🧠 MCP Server: Local AI Tooling with Python

What are the dependencies and runtime requirements?

The server requires Python, uv (a fast Python package manager), and the packages mcp[cli], pandas, and pyarrow. A virtual environment is recommended.

What data formats are supported?

The server includes dedicated tools for reading CSV and Parquet files, two common tabular data formats used in data analysis.

How do I configure the server with Claude Desktop?

Add a JSON block to your Claude Desktop settings with the command pointing to your Python interpreter and args including the absolute path to mix_server.py. Exact instructions are provided in the README.

Is this project open source?

Yes, it is licensed under the MIT License.

Frequently asked questions

What are the dependencies and runtime requirements?

The server requires Python, `uv` (a fast Python package manager), and the packages `mcp[cli]`, `pandas`, and `pyarrow`. A virtual environment is recommended.

What data formats are supported?

The server includes dedicated tools for reading CSV and Parquet files, two common tabular data formats used in data analysis.

How do I configure the server with Claude Desktop?

Add a JSON block to your Claude Desktop settings with the `command` pointing to your Python interpreter and `args` including the absolute path to `mix_server.py`. Exact instructions are provided in the README.

Is this project open source?

Yes, it is licensed under the MIT License.

Comments

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