Handoff
Facilitates seamless AI agent collaboration by managing task handoffs with structured documentation and progress tracking.
About
The Handoff server is a specialized Model Context Protocol (MCP) server designed to streamline the transfer of work between AI agents. It provides a robust system for creating, updating, and tracking task handoffs, ensuring continuity and clarity across different agent interactions. By offering structured documentation, progress monitoring, and automatic organization of active and archived handoffs, it empowers agents to manage complex workflows efficiently. The server supports both standard and quick handoff types, organizing all data logically within a dedicated file system.
Key Features
- Structured handoff document creation with templates
- Real-time progress tracking from start to completion
- Automatic organization of active and archived handoffs
- Easy searching and filtering of past work
- Supports both standard and quick handoff types
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Use Cases
- Managing task transitions between different AI agents
- Documenting complex multi-agent workflows and progress
- Enabling seamless collaboration in AI-driven automation pipelines
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