From ticket to implementation in a single prompt
Connect your AI development tools to Rockety via the Model Context Protocol (MCP). Let your AI agent read tasks, build features, and update status - all automatically.
Get Started"Build this feature: https://app.rockety.io/projects/1af7cdbc-ebb5-44f5-964f-bfe683c9d9b6/tasks/f462f21a-1bef-45a3-a8e7-d20e9b34e22b"
What is MCP?
The Model Context Protocol (MCP) is an open standard that allows AI applications to connect with external tools and data sources. With Rockety's MCP integration, your AI coding assistants can directly interact with your project management workflow - reading tasks, making updates, and keeping everything in sync.
Works with your favorite AI development tools
How it works
A seamless bridge between your project management and AI-powered development
Copy a task URL from Rockety
Find the task you want to implement and copy its URL. That's all the context your AI needs.
Paste it into your AI tool
Share the URL with Claude Code, Cursor, or any MCP-compatible development tool.
Your AI reads and builds
The AI reads the task details, acceptance criteria, and related context - then builds the feature.
Status updates automatically
As work progresses, your AI updates the task status in Rockety - keeping your team in the loop.
What your AI agent can do with Rockety
Find and read tasks
Your AI can search for tasks across projects, read their descriptions, acceptance criteria, comments, and attachments. It gets all the context it needs to do the work.
Navigate projects
Need to find related tasks? Your AI can explore project structures, find dependencies, and understand the bigger picture of what you're building.
Update task status
As your AI makes progress, it can move tasks through your workflow - from "To Do" to "In Progress" to "Done" - keeping Rockety in sync with reality.
Create new tasks
Discovered a bug while implementing? Found a refactoring opportunity? Your AI can create new tasks in Rockety to track follow-up work.
Complete tasks
When the work is done, your AI can mark tasks as complete, add notes about what was implemented, and move on to the next item.
Write better tickets, ship faster
With Rockety's MCP integration, the quality of your task descriptions directly translates to development speed. A well-written ticket with clear acceptance criteria becomes a blueprint your AI can follow.
Imagine describing a feature once, in plain English, and having your AI handle the implementation while you focus on what matters - reviewing code, making decisions, and building your product.
The best project management is the kind that gets out of your way. With MCP, your tickets become the specification, and your AI becomes the developer.
Ready to give Rockety a try?
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