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Orchestrate complex AI workflows with phased execution, delegation, and specialized agents.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "iron-manus-mcp" yet — see the docs or source repo.
Use iron-manus-mcp's 8-phase process to plan 'build a SaaS MVP with authentication, payments, and an admin dashboard.' First break down the work, then assign Todos to frontend, backend, and QA roles, and list deliverables for each phase.
A phased execution plan, role-based Todo assignments, and clear deliverables for each stage.
Use iron-manus-mcp to coordinate a 'market opportunity study for AI customer service products' with the 8-phase workflow, covering research, competitor analysis, and synthesis, and assign tasks to researcher, analyst, and product manager roles.
A complete project workflow, role-specific tasks, dependencies, and a final research synthesis structure.
Use iron-manus-mcp to design an execution workflow for 'publishing a product launch blog post and supporting social copy.' Split Todos across planning, writing, review, and publishing roles, and specify inputs and outputs for each step.
An actionable content production workflow, role-based task lists, and defined outputs for each step.
Give AI agents MCP tools for task management and document retrieval.
Manage todo lists and tasks with natural language commands.
Orchestrate multiple AI agents in real time and monitor tasks and artifacts.
Enable AI agents to query, add, and modify Todoist tasks naturally.
Run a fully local multi-agent AI system with predefined workflows via MCP.
Build AI agent workflows and automate tasks using MCP-connected services.