Retrieve and organize workflows with customizable filters and sorting options, enabling efficient management and access to task execution records within the MCP server.
Enhance project workflows by integrating new features into PRDs, analyzing their impact, and converting them into actionable tasks with full lifecycle management in GitHub Projects.
Break down complex projects into structured, actionable tasks with dependencies, priorities, and complexity estimates. Manage workflows with unlimited hierarchy depth for efficient project execution.
A Model Context Protocol implementation that enables LLMs to execute complex, multi-step workflows combining tool usage with cognitive reasoning, providing structured, reusable paths through tasks with advanced control flow.
An MCP (Multi-Agent Conversation Protocol) Server that enables interaction with Google Workflows API, allowing management of workflow executions and definitions through natural language commands.
Enables AI agents to programmatically create, manage, and execute independent Python workflow scripts with full CRUD operations, allowing AI to build and modify automation workflows themselves rather than just executing pre-built ones.