Best for
- Developers using Claude Code who need DAG-based automation
- Teams that want deterministic, dependency-driven task execution
W
Workflow Orchestrator
Community
DAG-based workflow orchestration with parallel execution and run history
GitHub source repository ↗
27FMRS · D
A community MCP server for DAG-based workflow orchestration, published in the Tons of Skills / Claude Code plugins marketplace. The manifest lists version 1.0.0, npm distribution, and stdio transport, but no individual tools are documented in the supplied source.
Workflow Orchestrator is an MCP server that implements directed-acyclic-graph (DAG) based workflow orchestration. It enables parallel task execution, dependency management between tasks, and keeps a run history of executed workflows. It is distributed as the npm package @claude-code-plugins-plus/workflow-orchestrator (v1.0.0) and communicates via stdio.
Tools
The tool list has not been reviewed yet.
Setup
Install the ccpi CLI (pnpm add -g @intentsolutionsio/ccpi) and run ccpi install workflow-orchestrator, or use Claude Code's built-in /plugin marketplace add jeremylongshore/claude-code-plugins followed by /plugin install workflow-orchestrator@claude-code-plugins-plus. The npm package @claude-code-plugins-plus/workflow-orchestrator will run as a stdio MCP server.
Fit and risk
Not for
- Teams needing real-time collaboration or human-in-the-loop decision tools
- Scenarios where a simpler linear script is sufficient
Required permissions
- Runs as a local stdio process via the npm package @claude-code-plugins-plus/workflow-orchestrator
- No explicit permission documentation is provided in the source
Risks and side effects
- Third-party community plugin — no official upstream maintainer
- MIT-licensed, but the code is not audited in this profile
- No server-specific security documentation in the source
Troubleshooting
- Confirm the npm package @claude-code-plugins-plus/workflow-orchestrator is installed
- Ensure your MCP client supports stdio transport
- Check the repository's public wiki and production playbooks for MCP reliability guidance
Use cases
Orchestrating multi-step workflows with task dependencies
Running independent tasks in parallel
Reviewing run history of past executions
Supported clients
Claude CodeFull support