"Screenshot or Screen Capture" matching MCP servers:

A local MCP server that captures screenshots and narrated screen recordings, then turns visual feedback into Markdown reports with screenshots and timestamps. Its nine tools cover screen capture, video analysis, screen descriptions, and exporting findings to GitHub or Linear; desktop capture targets macOS and Windows.

Lets any MCP client drive the recruiting workflow in natural language: create roles, screen CVs, schedule and manage candidate interviews, and read back scored reports with transcripts.

Turns product feedback pinned to a live UI into an actionable backlog for Claude Code — list comments, open one with its target element's HTML, computed styles and screenshot, and update its status.

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

MCP for Azure DevOps Boards is a MCP server that lets your favourite AI browse, query and update Azure DevOps work items as if it were a project manager. Written in Rust and optimized for tokens usagem, It runs via stdio or HTTP mode and uses standard Azure authentication with az login.

Enables AI assistants to access real-time weather data by city and manage HR operations including job applications, recruitment tracking, and interview scheduling through a unified, modular interface with live updates via SSE.

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

Connect an AI agent to your OKRs. FlowyTeam exposes 33 MCP tools covering OKR objectives, key results, KPI indicators and performance cycles, alongside tasks, projects, HR, attendance, tickets and CRM — one hosted connection for the whole workspace. Supports Claude Desktop, Claude web and mobile, ChatGPT (OAuth 2.0 + PKCE), and Claude Code / n8n (Bearer token). Tools respect the caller's existing

Enforces engineering governance for AI-driven software projects, ensuring state over prompt, freeze over generate, and audit over output through the 5S workflow.

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.

Provides AI assistants with a standardized interface to interact with the Todo for AI task management system. It enables users to retrieve project tasks, create new entries, and submit completion feedback through natural language.

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.

Enables AI-powered project management by connecting Claude to Planka kanban boards via 75+ MCP tools for creating, updating, and managing projects, boards, lists, and cards.

An MCP server for Things 3 on macOS that enables AI assistants to manage tasks using the Getting Things Done (GTD) methodology, including capture, clarify, organize, reflect, and engage stages.

Enables natural language task management: capture, edit, complete, and search tasks with duplicate detection and citation-backed answers.

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

Enables agents to capture and manage notes, tasks, events, and links in a private, file-first workspace, with tools for viewing today's agenda and searching Markdown notes.

Enables Discord integration through MCP, allowing server management, messaging, channel/role management, and automatic issue capture to PostgreSQL.

Enables coding agents to capture, claim, and summarize ideas from an idea inbox, with queue/retain modes and budget tracking.

An MCP server that interviews users to capture project planning facts into SQLite and enforces mechanical gates to ensure structured progress.