office-word-mcp-server

# 1. Install the server (if not already installed) # pip install office-word-mcp-server # 2. Run the MCP server. This makes its capabilities available via a local API. # The `uvx` command is often used for running CLI entry points from installed packages. # Ensure `uv` is installed (pip install uv) if `uvx` is not available. import subprocess import os # This command typically runs in a separate terminal or as a background service. # For a quick demo, we can run it via subprocess (though not ideal for production). # In a real scenario, you'd configure your AI agent/IDE to start and connect to it. print("Starting Office Word MCP Server...") # Use a placeholder for a real AI agent configuration or an actual API call # The server logs its activity, and AI agents communicate via its exposed API. # Example command from GitHub README [2] # For demonstration, we'll just print the command. Actual execution would block or run in background. server_command = "uvx --from office-word-mcp-server word_mcp_server" print(f"Execute this in your terminal: {server_command}") # To simulate interaction, an AI agent would make API calls like: # create_document(filename="report.docx", title="Quarterly Report") # add_heading(filename="report.docx", text="Introduction", level=1) # add_paragraph(filename="report.docx", text="This is the first paragraph of the report.") print("\nServer started. An AI agent can now interact with it, e.g., to create or edit Word documents.") print("Refer to your AI agent's documentation for connecting to a local MCP server.")