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Share project state across sessions to keep AI handoffs aligned and continuous.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "handoff-mcp" yet — see the docs or source repo.
Use handoff-mcp to read the current project state, then summarize the north star goal, completed work, open tasks, and risks into a handoff note for the next session.
A structured handoff note with goals, progress, open tasks, and risks for seamless continuation.
Write this session’s conclusions to handoff-mcp: update the project goal, latest decisions, next steps, and issues that need follow-up.
The shared project state is updated so future sessions can read the latest context and action plan.
Use handoff-mcp to compare the current task with the project’s north star goal, identify misalignment, and suggest how to realign.
An alignment analysis showing whether the work has drifted and specific recommendations to get back on track.
Create structured development handoffs, track tasks, and coordinate complex project execution.
Offload non-critical LLM tasks to your own model and save premium quota.
Deploy remote MCP servers on Cloudflare Workers with OAuth and SSE connectivity.
Offload non-critical LLM tasks to your own model to save premium quota.
Host and expose MCP tools remotely to AI clients on Cloudflare Workers.
Use one MCP server for filesystem, database, web, and system operations.