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    Enables AI assistants to create and manage visual automation configurations, workflows, and UI states through the Qontinui API. It supports project management, workflow execution, and configuration handling for automated web interactions.
    AGPL 3.0
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    Enables comprehensive management of OpenProject work packages, projects, comments, and relations through natural language. Supports creating, updating, and organizing tasks with assignees, watchers, hierarchies, and inter-task relationships.
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    Goodday‑MCP is a lightweight Model Context Protocol (MCP) server designed to seamlessly integrate with the Goodday project management platform via its API v2. It enables querying of projects, tasks, and users—without altering any data—making it ideal for secure context-aware applications
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    MIT
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    An MCP server for managing Tempo worklogs in Jira, allowing users to track time, retrieve logs, and perform bulk operations via natural language. It integrates with the Tempo API to support creating, editing, and deleting work entries through MCP-compatible clients like Claude and Cursor.
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    MIT
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    Enables submitting team check-ins to Steady (app.steady.space) by automating the web form through login, team discovery, and check-in submission with previous/next/blockers fields.
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    Provider agnostic ai orchestrator layer, kagan mcp allows controlling orchestrating and spawning subagents via mcp associated with tasks in kanban board that is accessible via kagan cli executable that bundles a chat repl, tui , mcp and a web client in a single uv tool install kagan wheel. Give it a try and submit feedback and feature requests! Consider starring the repo, its a free oss MIT based.
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    Simple MCP Server to enable a human-in-the-loop workflow in tools like Cline and Cursor. This is especially useful for developing desktop applications that require complex user interactions to test.
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    MIT
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    Integrates with the addTaskManager iOS/macOS app to manage tasks, projects, and ideas through the ADD (Assess-Decide-Do) framework. Enforces realm-based restrictions where users can create/edit content in Assess, assign contexts/dates in Decide, and mark items complete in Do.
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    Run your Tallyfy workflows from any AI assistant in plain English. 107 tools across processes, tasks, templates, form fields, automation rules, users, and search, each scoped to the signed-in user's Tallyfy permissions.
    Apache 2.0
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    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.
    AGPL 3.0
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    Vibsync gives Claude Code, Cursor, Codex, and other AI coding agents long-term team memory and live work context. It carries both what the team knows — discoveries, fixes, failed approaches, product rules, and decisions — and what the team is doing now — questions, tasks, ownership, and active work areas — across sessions and machines.
    MIT
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    MCP server providing access to JIRA data with relationship tracking, optimized payloads, and data cleaning for AI contexts. Supports both Jira Cloud and Server/Data Center.
    13
    MIT