Iron Manus MCP
About
A modular MCP server for task orchestration, API integration, and knowledge synthesis using a finite state machine.
Details
- Author
- dnnyngyen
- Categories
- Productivity, Automation, API, Project Management, AI
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Setup
Install Iron Manus MCP in your MCP client (Claude Desktop, Cursor, Windsurf, and others).
Repository: https://github.com/dnnyngyen/iron-manus-mcp
Follow the installation instructions in the repository README, then restart your MCP client.
A modular MCP server for task orchestration, API integration, and knowledge synthesis using a finite state machine.
Model Context Protocol server for AI workflow orchestrationinspired by Manus AI's orchestration patterns and Andrej Karpathy's "Iron Man" analogy.
Extended context management through agent delegation and Todos as a custom agent dispatch tool
Historical Notes: Architectural Patterns
Note: This project is now archived. The following notes document architectural decisions that later appeared in mainstream AI tooling.
Several patterns implemented in Iron Manus MCP (June 2024) were later adopted by Claude Code and similar tools. These emerged from independent experimentation rather than foresight, solving problems that turned out to be common across the ecosystem.
interface TodoItem { type?: 'TaskAgent' | 'SubAgent' | 'DirectExecution'; meta_prompt?: MetaPrompt; // Declarative agent configuration }
This MCP was the first to use todos as a subagent dispatch queue. Claude Code had TodoWrite/TodoRead at that point, but nobody (including Anthropic) was thinking of todos as an agent coordination primitive. The Task tool existed but was just non-specialized agents. Our implementation connected the two: todos become task dispatches. Boris Cherny announced "We're turning Todos into Tasks" on January 22, 2026, seven months after we shipped the same idea.
const PHASE_ALLOWED_TOOLS = { PLAN: ['TodoWrite'], EXECUTE: ['TodoRead', 'TodoWrite', 'Task', 'Bash', 'Read', 'Write', 'Edit'], VERIFY: ['TodoRead', 'Read'], // Read-only during verification };
Restricting tool availability by phase prevented misuse (e.g., writing files during verification). This pattern appears in Claude Code Agent Teams (February 2026) via phase-based permissions.
The explicitINIT → QUERY → ENHANCE → KNOWLEDGE → PLAN → EXECUTE → VERIFY → DONEworkflow enforced planning before execution. Claude Code's Plan Mode (August 2025) provides similar structure.
4. Context Isolation via File-Based Communication
./iron-manus-sessions/{session_id}/ ├── synthesized_knowledge.md ├── primary_research.md └── agent_output.md
Task()agents have isolated contexts and cannot share state directly. This project used session workspaces for inter-agent coordination. Claude Code Agent Teams implements similar patterns via~/.claude/teams/and~/.claude/tasks/.
Nine specialized roles (planner,coder,critic,researcher,analyzer,synthesizer,ui_architect,ui_implementer,ui_refiner) with distinct thinking methodologies. Claude Code custom subagents (July 2025) provide similar specialization.
(ROLE: coder) (CONTEXT: auth_system) (PROMPT: Implement JWT auth) (OUTPUT: auth_module.ts)
Declarative syntax for agent configuration embedded in todo content. Similar patterns appear in Claude Code's subagent configuration.
Iron Manus MCP (June 2024) introduced todos as subagent dispatch, phase-gated tools, structured planning phases, context isolation, and role-based agents. Claude Code adopted these patterns between July 2025 and February 2026. These patterns emerged from practical necessity. Multi-agent orchestration requires task decomposition, context isolation, and workflow structure, all of which eventually appeared in production tooling.
8-phase workflow orchestration:INIT → QUERY → ENHANCE → KNOWLEDGE → PLAN → EXECUTE → VERIFY → DONE
- JARVIS- 8-phase workflow controller
- APITaskAgent- API discovery and fetching with SSRF protection
- PythonComputationalTool- Python execution for data analysis
- IronManusStateGraph- Session state management
- SlideGenerator- HTML slide generation
- HealthCheck- Runtime diagnostics
git clone https://github.com/dnnyngyen/iron-manus-mcp cd iron-manus-mcp npm install npm run build npm start
docker build -t iron-manus-mcp . docker run -d --name iron-manus-mcp iron-manus-mcp
claude mcp add iron-manus-mcp node dist/index.js
{ "mcpServers": { "iron-manus-mcp": { "command": "node", "args": ["path/to/iron-manus-mcp/dist/index.js"] } } }
ALLOWED_HOSTS=api.github.com,httpbin.org # SSRF whitelist ENABLE_SSRF_PROTECTION=true # Enable security KNOWLEDGE_MAX_CONCURRENCY=2 # API concurrency limit KNOWLEDGE_TIMEOUT_MS=4000 # Request timeout (ms)
npm run build # Compile TypeScript npm run lint # Check code style npm run format # Format code npm start # Run server npm run dev # Build + watch mode
- SSRF protection blocks private IPs (192.168.x.x, 127.x.x.x, etc.)
- URL validation (HTTP/HTTPS only)
- Host allowlist enforcement
- Request timeout and size limits
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