MCP server for reading CSV and Parquet files with summary tools
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# 🧠 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 ## 🚀 Features **Local MCP Server (`mix_server`)**: Facilitates communication between Claude and your local tool. **CSV and Parquet Readers**: Tools to load and process tabular data formats commonly used in data analysi. **Modular Structure**: Clean codebase designed for easy expansion with additional tool. **Seamless Claude Integration**: Connects directly with Claude for Desktop, allowing natural language interactions with your dat. ## 🛠️ Installation ### 1. Clone the Repositor ````bash git clone https://github.com/yourusername/mcp-server.git cd mcp-server `` ### 2. Set Up the Environment Using `uv [uv](https://github.com/astral-sh/uv) is a fast Python package and project manager written in Rut It serves as a drop-in replacement for tools like `pip`, `pip-tools`, and `virtualenv`, offering significant speed improvements and a unified interfae. #### Install `uv You can install `uv` using one of the following methos: - **Using `curl` (macOS and Linux):** ```bash curl -LsSf https://astral.sh/uv/install.sh | sh `` - **Using `pip`:** ```bash pip install uv `` - **Using `pipx`:** ```bash pipx install uv `` For more installation options and details, refer to the [official uv documentation](https://docs.astral.sh/uv). #### Create a Virtual Environment and Install Dependencie ```bash uv venv source .venv/bin/activate # On Windows: .venv\Scripts\activate uv pip install mcp[cli] pandas pyarrow `` This will create a virtual environment and install the necessary dependencies using `u`. ## 📁 Project Structue ```bash mcp-server/ ├── tools/ │ ├── csv_reader.py │ └──…
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