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Automate planning, spec generation, and verified iterative development workflows.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "ralph-loop-mcp" yet — see the docs or source repo.
Create a three-phase development workflow for adding a notification center to an existing web app. Output an implementation plan, a technical specification, and a step-by-step task list with verification.
A structured development package with planning, a spec document, and verified task breakdowns.
Generate a development spec from the following requirements and break it into iterative executable tasks: add role-based access control, audit logs, and rollback verification steps to an internal admin system.
A clear specification and a phased list of verifiable development and testing tasks.
For an API response performance optimization project, follow the flow of planning, spec creation, and task execution; after each step, provide acceptance criteria and a verification result template.
A complete iterative workflow with phase outputs, acceptance criteria, and verification record templates.
Orchestrate RFC-based multi-agent workflows with quality gates and merge queues.
Orchestrate tasks as a DAG with validation loops and iterative fixes
Run iterative AI coding tasks on repositories with quality, security, and approvals.
Continuously mines and improves AI agent workflows for self-improving execution loops.
Run a safe local development loop with patching, testing, and fixes.
Automate Humanloop tasks through Rube MCP using current tool schemas first.