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Abstract This article introduces a method for integrating Google’s Gemini CLI and GitHub’s Copilot CLI using the Model Context Protocol (MCP). By configuring one CLI as an MCP server, the other can invoke it from a prompt, enabling a powerful, collaborative interaction between the two AI assistants for enhanced development workflows.
Introduction Recently, GitHub released the Copilot CLI, a command-line interface that brings the power of GitHub Copilot directly to your terminal.
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Abstract This article introduces a method for securely executing AI-generated Google Apps Script. By implementing a “fake-sandbox” using the gas-fakes library as an MCP server, users can empower the Gemini CLI to safely automate Google Workspace tasks with granular, file-specific permissions, avoiding significant security risks.
Introduction “Have you ever faced a task that isn’t part of your routine but is tedious to do manually, like, ‘I need to add a “[For Review]” prefix to the titles of all Google Docs in a specific folder this afternoon’?
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Abstract This guide explores a powerful workflow for generating articles and other content by integrating Gemini CLI, a Model Context Protocol (MCP) server, and Visual Studio Code (VSCode). Discover how to leverage this combination for efficient, context-aware content creation, modification, and distribution, complete with practical examples and prompts.
Introduction The integration of Gemini CLI with Visual Studio Code (VSCode) creates a highly efficient and context-aware environment for developers and writers alike.
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Abstract This article introduces a Node.js wrapper that dramatically reduces the startup time for the Gemini CLI when used with MCP servers built on Google Apps Script. This optimization enhances user experience by accelerating the initialization process, achieving a speed boost of approximately 15 times.
1. Introduction The Model Context Protocol (MCP) is a vital open standard enabling AI agents to connect with external tools and data sources for complex, real-world tasks.
ToolsForMCPServer was updated to v1.0.29 v1.0.29 (September 15, 2025)
The following 5 tools were added. These tools provide the information for building the request body of Google APIs.
explanation_analytics_data_properties_runReport explanation_analytics_data_properties_runRealtimeReport explanation_manage_google_sheets_using_sheets_api explanation_manage_google_docs_using_docs_api explanation_manage_google_slides_using_slides_api The following 8 tools were updated.
get_google_sheet_object_using_sheets_api manage_google_sheets_using_sheets_api get_google_doc_object_using_docs_api manage_google_docs_using_docs_api get_google_slides_object_using_slides_api manage_google_slides_using_slides_api analytics_data_properties_runReport analytics_data_properties_runRealtimeReport You can see the detailed information here https://github.com/tanaikech/ToolsForMCPServer