Nifty MCP. Manage projects, tasks, and teams from your chat.

Your AI agent connects straight to your Nifty project management platform. This server gives you total control over tasks, tracking, and team collaboration, all just by chatting with it. You don't gotta open a single dashboard; everything runs through conversation.

Project Scope Management: When you need an overview of what's going on across the whole company, your agent starts by finding every active project and workspace using list_projects. If you want to see how different initiatives group together—like program rollups—it pulls those collections for you with list_portfolios. Need deep details on one specific setup? You can get the full structural metadata for any single project by calling get_project.

This initial scope check gives your agent the necessary IDs so it knows exactly where to focus subsequent commands.

Tasks and Backlog Management: Wanna create a new ticket? Just tell your AI client, and it uses create_task to drop a brand-new, specific task right onto any designated Nifty project board. If you're checking up on the current workload, running list_tasks pulls every existing ticket in that project, showing you who owns it and what its status is.

You can also pinpoint exactly what needs doing by using get_task_details, which grabs all the precise configuration data, notes, and status for any specific task ID. It’s how you keep the backlog clean.

Tracking Progress and Deadlines: To track major delivery phases, your agent generates a clear, chronological list of all big project milestones using list_milestones. You can also audit the effort spent on tasks by running list_time_logs, which pulls detailed records of time worked for any given project. If you need to know what documents are attached to a specific setup, it runs list_project_docs and gives you every file associated with that project ID.

Team Capacity and Auditing: When you gotta verify who's on the team or check resource capacity, your agent handles it fast. You just ask it to list all registered workspace members, and it spits out a full roster of current users along with their specific account IDs using list_members. If there’s any confusion about project parameters—maybe you need to know what's configured for the overall project or a single task—the system retrieves that granular metadata, giving you deep-dive access via get_project and get_task_details, respectively.

It truly manages everything from those tiny, specific tasks right up to massive program rollups. You don’t gotta jump through hoops or click around; your AI client handles the whole audit process just by talking to it.