"Resources or information related to academic topics" matching MCP servers:

Enables AI clients like Claude to read and manage Microsoft To Do task lists and tasks via the Microsoft Graph API, running locally over stdio with secure token storage.

One-pass agentic inbox triage as an MCP server: fetch unread Gmail → classify (action_needed/fyi/newsletter/noise) → summarize → extract tasks → draft replies as Gmail DRAFTS (never sends) → flag calendar → write a triage report. Four stdio tools (fetch_emails, save_gmail_draft, append_tasks, write_report); the host is the LLM, so it runs keyless in Claude Code. Gmail scopes: readonly + compose

Enables to manage to-do items through natural language, with tools for creating, reading, updating, and deleting tasks.

Enables coding agents to manage Microsoft To Do lists and tasks through Microsoft Graph, with optional support for checklist items, linked resources, attachments, and delta synchronization.

A Model Context Protocol (MCP) server that enables AI assistants like Claude and Cursor to interact with Microsoft To Do via the Microsoft Graph API.

Enables an AI assistant to manage a simple to-do list stored in a local JSON file, with tools to add, list, get, complete, and delete tasks, plus a read-only pending tasks resource.

MCP server for Microsoft To Do via Microsoft Graph. MSAL device code flow, no client secret needed.

Lightweight project management for teams and AI agents.

Enables AI agents to manage Kanban boards, cards, sessions, and automations through a unified MCP interface with real-time updates, supporting delegation, agent sessions, and human-in-the-loop interactions.

Provides tools for managing project knowledge graphs, enabling structured representation of projects, tasks, milestones, resources, and team members.

Allows Claude Code agents to pull tasks from an EasyTopic Kanban board, automate planning, commenting, approval, implementation, and closing of topics.

MCP server for DCI API enabling AI models to extract and analyze DCI jobs, components, and topics, with integrations for Google Drive, Jira, GitHub, and Red Hat support cases.

Enables AI assistants to manage COR project management platform resources like projects, tasks, hours, clients, teams, and users through natural language.

Enables defect management on the SEPP platform, allowing users to query defects, retrieve user project information, and set up automated monitoring with alerts for new or unresolved defects via webhook or email.

Provides read-only access to JIRA REST API, enabling LLMs to query and retrieve information from JIRA instances.

Enables AI assistants to analyze Primavera P6 XER files for insights into critical paths, schedule health, and project performance. It provides 23 specialized tools for managing schedule data, resources, and earned value through local or remote interfaces.

A Model Context Protocol server that enables large language models to interact with Linear's issue tracking system, allowing management of issues, projects, teams, and other Linear resources.

Enables MCP clients to interact with Monday.com boards, allowing creation and management of items, sub-items, comments, and retrieval of board information.

A Model Context Protocol server that enables AI to manage AtomGit open source collaboration platform resources including repositories, issues, pull requests, branches, and labels.

Exposes 30 tools to manage Redmine resources (issues, projects, users, time entries, wiki pages, news, files, roles) via the REST API using stdio transport.