mcp-handoff-server
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The MCP Handoff Server is a Model Context Protocol server designed to facilitate seamless work transitions between AI agents through structured documentation and progress tracking.
The MCP Handoff Server is a specialized server that enables AI agents to efficiently hand off tasks to one another. It provides a structured framework for creating, updating, and completing handoff documents, ensuring that all necessary information is captured and organized. The server supports both MCP clients and HTTP testing, making it versatile for different use cases. With automatic organization of active and archived handoffs, it simplifies the management of ongoing and completed tasks. The server also offers easy searching and filtering of past work, enhancing productivity and collaboration among AI agents. By using this server, AI agents can ensure that work transitions are smooth, well-documented, and easily trackable.
Features
- Structured handoff documents with templates
- Progress tracking from start to completion
- Automatic organization of active and archived handoffs
- Easy searching and filtering of past work
- Support for both MCP clients and HTTP testing
Tools
create_handoff
Start a new handoff document
read_handoff
Read an existing handoff
update_handoff
Add progress updates
complete_handoff
Mark work as finished
archive_handoff
Move completed work to archive
list_handoffs
Find and filter handoffs