Workflows
Enables Large Language Models to execute complex, multi-step workflows by integrating cognitive actions and external tools.
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workflows-mcp transforms how AI assistants handle complex tasks by providing structured, reusable workflows that combine tool usage with cognitive reasoning. This system moves beyond ad-hoc task execution, offering deterministic and reproducible paths through multi-step processes, enabling LLMs to follow precise instructions and achieve specific outcomes without errors.
Características Principales
- Define clear, step-by-step instructions for LLMs
- 19 GitHub stars
- Implement advanced control flow including branching, loops, and parallel execution
- Maintain state by tracking variables and results across workflow steps
- Integrate cognitive actions like analyze, consider, validate, and reason
- Ensure workflow integrity through comprehensive validation before execution
Casos de Uso
- Automated code review with actionable feedback
- Research assistant for gathering information and generating reports
- ETL data processing pipelines with validation and quality checks