"A guide to Python dependency resolution and package management" matching MCP servers:

Enables creating, modifying, and checking Google Calendar events from Claude desktop app using MCP protocol with secure OAuth2 authentication.

Enables comprehensive Google Meet and Calendar management through Google Calendar API v3 and Google Meet API v2, supporting calendar event creation with Meet links, space management, transcription, recording, attendance tracking, and meeting moderation controls.

Lets assistants connect a GitHub Projects backlog to Google Calendar and Tasks, so you can view entries, plan work into free time, and create events and to-dos.

Read your Pyunto Time Management schedule and log time from an AI assistant. E2EE project planning.

A Python-based MCP server for Microsoft Outlook integration using Microsoft Graph API, enabling email reading/sending, calendar management, and contact operations through Claude Desktop.

Enables voice assistants to find nearby service providers, connect users to live video representatives for natural conversation, and handle appointment booking. It also returns confirmed bookings so the assistant can add them to its calendar.

MCP server demonstrating elicitation for booking appointments and an interactive MCP App for viewing appointments with SQLite persistence.

A stateless MCP server that forwards calendar operations to a CalDAV server, enabling AI assistants to list, search, create, update, delete events, and query free/busy information via encrypted tokens.

Calendar and task management with kernel-level scraping for robust parsing, and integrates with DocMost wiki as source of truth.

Lets Claude read and manage your iCloud Reminders and Calendar through a custom MCP connector, enabling natural language queries and actions.

Enables users to interact with a business co-founder/executive assistant that integrates with Google services (Gmail, Calendar, Contacts), web search, and includes approval gating for sensitive operations.

Enables AI assistants to interact with Microsoft 365 and Office services through the Microsoft Graph API, providing tools for email, calendar, files, Teams, SharePoint, and more with configurable permissions and output formats.

Enables reading, converting, and managing email messages, calendars, and contacts, along with mail account folder/thread operations and personal name parsing/formatting, via typed MCP tools.

Enables users to view and create events in their iCloud Calendar using natural language through supported LLMs. It integrates with Apple's infrastructure via app-specific passwords to provide secure calendar management.

Enables AI agents and scripts to read and manage events on your account — guest lists with questionnaire answers, CSV export, check-in, approvals, invites and Text Blasts — through your own signed-in Chrome session, with no public API or official integration required. Runs locally over stdio, streamable HTTP, a REST API with OpenAPI docs, and a Python client.

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.

Enables Claude to schedule, query, and cancel Calendly events via Calendly API v2, allowing direct event management without the public booking form.

Enables AI agents and scripts to run a Booksy Biz account through your own signed-in Chrome session, exposing 28 tools for appointments, open slots, time off, clients, services, staff, reviews, Message Blasts, and reports over MCP, REST, or Python. Read-only mode and confirmation-gated client-facing actions let you plan schedules, reschedules, and outreach with human approval.

Self-hosted Fresha API and MCP server in Python: 17 Fresha tools for appointments, clients, services, team and reviews, on the session of your own Chrome. Personal use.

Enables LLM agents to query current time, DST schedules, timezone conversions, working hour overlaps, and meeting time suggestions across locations via the production findtime.io Time API, including natural-language time questions and location resolution.