Sharing engine
Generate deeplinks for commands, rules, prompts, and skills. Share as compressed bundles or GitHub Gist when teams need portable setup across repositories.
CursorToys features, grouped by real workflows.
CursorToys is designed to help teams standardize how they share context, test integrations, and execute repeatable AI-assisted workflows inside Cursor.
HTTP workbench
Run API requests in-editor with environments, helper variables, and assertions to validate status, headers, response body paths, and execution timing.
Personal libraries
Organize commands, prompts, hooks, plans, notepads, and skills through dedicated tree views built for discoverability and quick edits.
AI accelerators
Refine technical text, process content with reusable prompts, and send context to chat quickly to reduce copy and paste overhead.
MCPB handling
Install and preview MCP bundles with environment awareness, then manage package lifecycle from focused side-panel actions.
Remote workflows
Connect remote workflows with Telegram controls and collaboration paths when local editor access is not enough.
Feature breakdown
Collaboration and sharing
- Share single files or entire folders as reusable bundles.
- Support deeplink, web URL, compressed format, and gist delivery.
- Import flows optimized for both personal and project destinations.
API development workflow
- Run requests without leaving Cursor.
- Use assertions to gate correctness before sharing changes.
- Keep environment definitions near request files for consistency.
Example team workflows
Onboarding a new engineer
- Share a starter command and prompt bundle via one link.
- Import team HTTP requests and environment templates.
- Pin core skills and plans in personal libraries.
Shipping an integration
- Create request suites and assertion checks in-editor.
- Refine release notes with AI before publishing.
- Share final workflow bundle with the full team.