stafett

stafett

A remote MCP server that gives AI assistants a shared memory, enabling structured handoffs, journaling, and notes for seamless continuation across sessions.

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README

stafett 🏃‍♀️

Swedish for "relay race" — because that's what it does: passes the baton between AI assistants.

A remote MCP server that gives all your AI assistants (Claude, ChatGPT, …) one shared memory. Work on something in one assistant, run out of tokens, open another one and say "continue where we left off" — and it actually can.

The problem

AI assistants don't share anything with each other. If you use multiple accounts or providers, every switch means re-explaining everything. An MCP server can't read your chat history — but it can give the assistant tools to save and restore working state. stafett makes that ergonomic:

  • Handoffs — before switching, ask the assistant to "save a handoff": a structured snapshot (summary, decisions, next steps, open questions, snippets).
  • Journal — sessions often die abruptly (token limits), too late for a handoff. The tool descriptions therefore instruct assistants to proactively log breadcrumb events during work, so there is always something to resume from.
  • Notes — free-form shared memory for ideas, links and reminders.

Tools

Tool Purpose
save_handoff Save a structured snapshot of the current session for a project
resume Fetch latest handoff + journal to continue in a new session
log_event Append a breadcrumb to a project's journal (called proactively)
list_projects List projects, most recently active first
save_note Save a free-form note
search_notes Keyword search across notes

Stack

TypeScript · official MCP SDK (stateless Streamable HTTP) · Express · Upstash Redis · deployed on Vercel.

Auth is a secret URL: the server only answers on /mcp/<long-random-token>. Claude and ChatGPT custom connectors support OAuth or no auth — a secret URL is the pragmatic middle ground for a personal server. Treat the URL as a password, and don't store anything sensitive.

Run locally

npm install
cp .env.example .env   # set MCP_SECRET (openssl rand -hex 32); Upstash optional locally
npm run dev            # http://localhost:3000/mcp/<MCP_SECRET>

Without Upstash credentials the server uses in-memory storage — fine for local testing, useless in production.

Deploy

  1. Create a free Redis database at Upstash (or via Vercel Marketplace).
  2. npx vercel — set env vars MCP_SECRET, UPSTASH_REDIS_REST_URL, UPSTASH_REDIS_REST_TOKEN.
  3. Your connector URL is https://<your-app>.vercel.app/mcp/<MCP_SECRET>.

Add to your assistants

  • Claude (claude.ai / Desktop): Settings → Connectors → Add custom connector → paste the URL. No auth.
  • ChatGPT: Settings → Connectors (requires developer mode) → Create → paste the URL. No auth.
  • Claude Code: claude mcp add --transport http stafett <url>

Add the same URL everywhere — that's the whole point.

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