"Capture The Flag (CTF) cybersecurity competitions and challenges" matching MCP servers:

Enables MCP-compatible assistants to connect to a user's workspace, read across boards, notes, checklists, habits, money, meals, chores, and chat, and make scoped additions, changes, or removals with attribution.

Enables async-first working practices by providing tools to draft decision docs, convert meetings to async artifacts, score status updates, and triage sync vs async tasks. It also offers reference tools for the Open and Async book's principles and coaching prompts.

MCP server enabling AI agents to interact with OpenProject API v3 for project management, including creating and managing work packages, projects, comments, time entries, boards, and user dashboards.

Enables AI agents to break down complex tasks into manageable pieces using a structured JSON format with task tracking, context preservation, and progress monitoring capabilities.

Enables people to open a shared group chat as a card inside their own AI chat, where they and their AIs talk together and post, claim, and confirm tasks on a self-organizing board. Its tools also let any AI read the repository's code and submit a proposed change that becomes a pull request.

Lets a coding agent read and update a local-first roadmap over MCP, proposing actions, plans and checkpoints, reporting progress or blockers, and marking work complete only with evidence. Everything the agent sends stays a proposal until the user reviews and applies it in the app's planning screen.

Enables AI to read live weather data and manage a persistent to-do list through MCP tools, demonstrating both read and write capabilities without API keys.

Provides programmatic access to all Scoring Engine API functionality for managing Red/White/Blue team cybersecurity competitions, including scoreboard, overview, team management, service management, injects, notifications, and admin tools.

Enables agents to read and report, and to carry human-authored updates into systems of record after human consent, while structurally preventing autonomous writes of commitments like owners, due dates, or statuses.

Fast native Swift OmniFocus MCP server and CLI for macOS. Let AI assistants safely read, update, complete, and organize tasks and projects through documented Omni Automation APIs.

A comprehensive MCP server providing advanced Redmine project analytics, web automation via Playwright, and iTunes music integration. It enables detailed tracking of sprint metrics, bug counts, and team performance through a token-optimized tool architecture.

Connects Claude Desktop to Canvas LMS to monitor academic activities like assignments, announcements, and upcoming deadlines. It enables users to track courses and pending tasks through a unified interface using the Canvas REST API.

Exposes a curated set of Bot Army tools (chat, GTD tasks, docs search, dice roll) to external SSE-only MCP clients via authenticated SSE transport.

Provides AI clients with per-project todo management and persistent context notes via MCP, enabling task tracking and resume summaries.

A collection of MCP servers for Slack, Jira, Confluence, and release coordination to automate QA workflows and daily release status reporting.

A Model Context Protocol (MCP) server that provides AI assistants with secure, authenticated access to SpeechWire tournament data for speech-and-debate competitions.

Task capture and planning on Windows: add, search, plan and complete tasks in one local JSON file that a tray app and a CLI share.

MCP server for Directum RX (ECM/BPM): assignments, tasks, documents and their text, knowledge base, agile boards, project plans, any entity via OData, and search over the system help of your own RX version. Read-only by default; write tools are behind a flag and ask for confirmation.

Provides org-capture and org-agenda style workflows for managing tasks, notes, and events stored in plain-text .org files on local disk.

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 AI assistants to plan, capture, and organize work in OmniFocus on macOS, with tools for querying and managing tasks, projects, tags, perspectives, and session state.

Provides access to 27+ structured problem-solving frameworks and game-theoretic workflows for software development, project management, and operations research. Helps prevent analysis paralysis and scope creep by transforming open-ended challenges into systematic, time-boxed approaches with clear decision gates.

Enables interaction with Topcoder challenges through tools that support authentication-based access via JWT and role/permission guards.

Enables AI agents to capture, manage, and retrieve todos with due dates and provenance, while automatically escalating reminders until tasks are completed.

A lean MCP server giving LLM agents full access to the ShotGrid / Autodesk Flow Production Tracking API through 15 curated tools, including generic CRUD, schema discovery, and safe writes with a dry_run flag.

Enables AI coding agents to capture deliberately deferred issues in a plain-text markdown ledger, then list, status-update, and archive them across sessions. All operations are stateless stdio tools with no network or database, and the ledger remains directly readable and editable by humans.

Enables users to create, list, and assign tasks, with optional status/assignee filters and deadline capture, through MCP tools backed by SQLite.

Implements the Getting Things Done methodology with custom meeting SOPs, enabling capture, processing, and context-based management of tasks and projects, integrated with AI assistants via MCP.

Enables any MCP-capable coding agent to share one plain-Markdown project state — goals, tasks, decision logs, and session handoffs — stored in a project's .apm/ directory, with lock-safe concurrent writes and consistency checks that flag stale, blocked, or unowned work. This lets multiple agents and a human CLI resume work across interrupted sessions without a database or external service.

MCP server that connects AI assistants to Super Productivity for managing tasks, projects, and tags through natural language, supporting quick capture, batch triage, and full planning workflows.