iflow-mcp_deciduus-calendar-mcp

# Google Calendar MCP Server (Python) This project implements a Python-based MCP (Model Context Protocol) server that acts as an interface between Large Language Models (LLMs) and the Google Calendar API. It enables LLMs to perform calendar operations via natural language requests. ## Features * **Authentication:** Secure Google Calendar API access using OAuth 2.0 (Desktop App Flow with automatic token storage/refresh). * **Core Calendar Actions:** * List calendars (`mcp_google_calendar_list_calendars`). * Create calendars (`mcp_google_calendar_create_calendar`). * Find events with basic and advanced filtering (`mcp_google_calendar_find_events`). * Create detailed events (`mcp_google_calendar_create_event`). * Quick-add events from text (`mcp_google_calendar_quick_add_event`). * Update events (`mcp_google_calendar_update_event`). * Delete events (`mcp_google_calendar_delete_event`). * Add attendees to events (`mcp_google_calendar_add_attendee`). * **Advanced Scheduling & Analysis:** * Check attendee response status (`mcp_google_calendar_check_attendee_status`). * Query free/busy information for multiple calendars (`mcp_google_calendar_query_free_busy`). * Find mutual free slots and schedule meetings automatically (`mcp_google_calendar_schedule_mutual`). * Analyze daily event counts and durations (`mcp_google_calendar_analyze_busyness`). * *(Recurring event projection feature potentially added in Task 3.5, but not explicitly exposed as a tool yet)* * **Server:** FastAPI-based server exposing actions via a RESTful API. * **MCP Integration:** Provides MCP-compatible tools via stdio using the `mcp_sdk` library. ## Setup 1. **Prerequisites:** * Python 3.8+ installed. * Git installed. * Access to a Google Cloud Platform project. 2. **Clone Repository:** ```bash git clone <repository-url> # Replace with your repo URL cd <repository-directory> `…