A Google Apps Script-based MCP network that allows AI to securely access Google Workspace data like Gmail and Calendar.
The Model Context Protocol (MCP) is an emerging standard designed to function as a universal adapter, enabling AI applications to seamlessly and securely connect with external systems and data sources. The core purpose of MCP is to provide a standardized method for AI models to request and receive contextually relevant information, which is crucial for performing complex tasks.
This repository introduces two directions:
v1.0.0 (May 8, 2025)
v1.0.1 (May 9, 2025)
v1.0.2 (May 29, 2025)
v2.0.0 (June 12, 2025)
v2.0.1 (June 18, 2025)
v2.0.2 (June 19, 2025)
v2.0.3 (July 1, 2025)
v2.0.4 (July 2, 2025)
v2.0.5 (July 31, 2025)
v2.0.6 (August 1, 2025)
v2.0.7 (August 6, 2025)
return new MCPApp.mcpApp({ accessKey: "sample" })
to return new MCPApp.mcpApp({ accessKey: "sample", lock: false })
.lock: false
), asynchronous requests from clients like the Gemini CLI may see an increase in processing speed. However, it's important to note that the maximum number of concurrent requests must not exceed 30. Please use this option with caution.v2.0.8 (August 6, 2025)
A Chrome extension that integrates MCP tools with AI platforms like ChatGPT and Gemini, allowing users to execute tools and insert results directly into conversations.
Interact with Ramp's Developer API to run analysis on your spend and gain insights leveraging LLMs
Provides advanced search, reporting, and analytics for recruitment data via Recruitee.
Access and manage your Monarch Money financial data and operations.
Interact with the Taiga project management platform through an MCP bridge, allowing AI tools to manage project resources.
Manage Obsidian vaults with knowledge graph operations and AI-powered features.
Interact with the ClickUp API to manage tasks, lists, and spaces, automating project planning and workflows.
A multi-agent mesh network designed for completing AI tasks in parallel.
A Jira integration that allows LLMs to act as project managers and personal assistants for teams.
Read text, metadata, and page count from PDF files securely within the project context.