"Resources for Learning Linux" matching MCP servers:

Exposes GitHub, SQLite database, and calendar tools, resources, and prompts over MCP so any MCP client can query data, manage issues, and schedule events.

Enables Claude Desktop users at the University of Ghana to read their own Sakai courses through safe, read-only tools — checking deadlines, announcements, calendars, assignments, feedback and grades, and extracting text and page images from lecture slides for study, planning and revision.

Enables local MCP clients to explore a student's Fuxam modules, learning units, progress, schedule, and semester options, and to plan, compare, and check proposed course sets for conflicts.

Enables MCP clients to search availability, read services, resources, bookings and customers, and, when writes are enabled, reserve slots, create or cancel bookings, and add or update customers.

A sample MCP server built with FastMCP that demonstrates basic tools and a Google OAuth integration for accessing Google APIs like Calendar.

A Model Context Protocol server that enables interaction with Microsoft 365 services (Excel, Calendar, Mail, OneDrive, Teams, etc.) through the Graph API, allowing AI assistants to manage Microsoft 365 resources via natural language.

Experimental server that implements the Model Context Protocol (MCP) for Nylas API, providing resources, tools, and prompts to help developers integrate email, calendar, and contacts functionality with AI applications.

Enables AI apps to read a student's Moodle courses, upcoming and overdue due dates, assignment submission statuses, course grades, gradebook items and announcements. It is strictly read only, so it can never submit, edit or delete anything.

Provides persistent memory, calendar integration, task management, and proactive assistance for Alexa+ through the Model Context Protocol.

Empowers AI assistants with real-world capabilities including note management, Gmail integration, Google Calendar and Tasks management, and Git repository operations through the Model Context Protocol.

Enables AI assistants to read, search, send, manage, schedule, and analyze messages across multiple IMAP/SMTP accounts, including real-time inbox watching, verification-code capture, calendar extraction, and analytics. Exposes 52 tools, 7 prompts, and 6 resources over stdio or Streamable HTTP.

Enables AI assistants to read, search, send, manage, schedule, and analyze email across multiple IMAP and SMTP accounts, with tools, prompts, and resources exposed over the Model Context Protocol. It also supports real-time inbox watching with AI triage, provider-aware label management, calendar extraction, analytics, and OAuth2 authentication.

Enables AI agents to read agents, teams, appointment types, bookable resources, and scheduling requests from the TimeZest API, and to create a scheduling request when explicitly requested, optionally linked to a PSA ticket. This supports appointment-booking workflows where MSP customers book time with technicians from PSA tickets.

Enables AI apps to read a student's courses, due dates, grades, missing work, announcements, modules, discussions, syllabus, and calendar events in a read-only way. It cannot submit, edit, or delete anything, and credentials go only to the user's own school.

Enables voice-driven appointment booking for small businesses, letting customers check availability, book, reschedule, and cancel appointments through any MCP client.

A hosted MCP server that allows AI assistants to access Google Calendar and Sheets via OAuth proxy, requiring no Google Cloud setup.

Enables AI assistants to book meetings, check availability, and manage Cal.com scheduling through natural conversation.

Enables MCP-capable AI clients to access and act on a user's 21Vianet Microsoft 365 resources—mail, calendar, OneDrive, SharePoint, Teams, contacts, and search—via Microsoft Graph China while preserving delegated permissions, confirmations, and audit boundaries.

MCP server giving Claude access to Tuta mail, calendar, contacts and drive. Supports mail modes (dedicated/shared/folder), trusted sender filtering with E2E verification, and Docker-based setup.

Enables AI assistants to manage GoHighLevel CRM data including contacts, conversations, opportunities, calendars, and forms through MCP tools and resources.