iflow-mcp_pandas-mcp-server

# Pandas-MCP Server A comprehensive Model Context Protocol (MCP) server that enables LLMs to execute pandas code through a standardized workflow for data analysis and visualization. ## 🎯 MCP Server Overview The Pandas-MCP Server is designed as a **Model Context Protocol (MCP) server** that provides LLMs with powerful data processing capabilities. MCP is a standardized protocol that allows AI models to interact with external tools and services in a secure, structured way. ## 🛠️ Installation ### Prerequisites - Python 3.8+ - pip package manager - Git (for cloning the repository) ### Step 1: Clone the Repository ```bash git clone <repository-url> cd pandas-mcp-server ``` ### Step 2: Install Dependencies ```bash pip install -r requirements.txt ``` ### Step 3: Verify Installation ```bash # Test the CLI interface python cli.py # Or test the MCP server directly python server.py ``` ### Dependencies - **pandas>=2.0.0** - Data manipulation and analysis - **fastmcp>=1.0.0** - MCP server framework - **chardet>=5.0.0** - Character encoding detection - **psutil** - System monitoring for memory optimization ### Claude Desktop Configuration Add this configuration to your Claude Desktop settings: ```json { "mcpServers": { "pandas-server": { "type": "stdio", "command": "python", "args": ["/path/to/your/pandas-mcp-server/server.py"] } } } ``` **Note**: Replace `/path/to/your/pandas-mcp-server/server.py` with the actual path where you cloned the repository. **Example paths:** - Windows: `"C:\\Users\\YourName\\pandas-mcp-server\\server.py"` - macOS/Linux: `"/home/username/pandas-mcp-server/server.py"` ### Configuration File Location - **Windows**: `%APPDATA%\Claude\claude_desktop_config.json` - **macOS**: `~/Library/Application Support/Claude/claude_desktop_config.json` - **Linux**: `~/.config/Claude/claude_desktop_config.json` ### Verification After configuration, restart Claude Desktop. The server should appear in the MCP tools list wi…