Skip to main content
Glama

stafett ๐Ÿƒโ€โ™€๏ธ

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

A remote MCP server that gives all your AI assistants (Claude, ChatGPT, โ€ฆ) one shared memory. Work on something in one assistant, run out of tokens, open another one and say "continue where we left off" โ€” 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 โ€” but it can give the assistant tools to save and restore working state. stafett makes that ergonomic:

  • Handoffs โ€” before switching, ask the assistant to "save a handoff": a structured snapshot (summary, decisions, next steps, open questions, snippets).

  • Journal โ€” 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 โ€” free-form shared memory for ideas, links and reminders.

Related MCP server: memory-bank-mcp

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 ยท official MCP SDK (stateless Streamable HTTP) ยท Express ยท Upstash Redis ยท 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 โ€” 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 โ€” fine for local testing, useless in production.

Deploy

  1. Create a free Redis database at Upstash (or via Vercel Marketplace).

  2. npx vercel โ€” 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 โ†’ Connectors โ†’ Add custom connector โ†’ paste the URL. No auth.

  • ChatGPT: Settings โ†’ Connectors (requires developer mode) โ†’ Create โ†’ paste the URL. No auth.

  • Claude Code: claude mcp add --transport http stafett <url>

Add the same URL everywhere โ€” that's the whole point.

F
license - not found
-
quality - not tested
C
maintenance

Maintenance

โ€“Maintainers
โ€“Response time
โ€“Release cycle
โ€“Releases (12mo)
Commit activity

Resources

Unclaimed servers have limited discoverability.

Looking for Admin?

If you are the server author, to access and configure the admin panel.

Related MCP Servers

  • A
    license
    -
    quality
    D
    maintenance
    A self-hosted MCP server that provides AI assistants with a shared, persistent SQLite-backed memory for storing and retrieving project context, decisions, and discoveries. It enables cross-session continuity and team-wide knowledge sharing to keep AI coding tools aligned and informed.
    Last updated
    3
    MIT
  • A
    license
    B
    quality
    D
    maintenance
    An MCP server that gives AI assistants persistent memory across sessions. It stores project context, decisions, and progress in structured markdown files as well as a knowledge graph and sequential thinking for better memory storage.
    Last updated
    36
    63
    1
    MIT
  • A
    license
    A
    quality
    A
    maintenance
    A local MCP server that gives AI assistants a long-term memory by capturing sessions verbatim and surfacing relevant context automatically.
    Last updated
    15
    466
    MIT
  • F
    license
    -
    quality
    D
    maintenance
    A MCP server that provides persistent memory for AI assistants, storing personal information, relationships, and observations to enable personalized and contextual conversations.
    Last updated
    4

View all related MCP servers

Related MCP Connectors

  • User-owned memory for AI agents, Copilot, Claude, IDEs, CLIs, and chat apps over remote MCP.

  • Cloud-hosted MCP server for durable AI memory

  • Persistent memory and cross-session learning for AI coding assistants (hosted remote MCP).

View all MCP Connectors

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/lineaalba2/MCP'

If you have feedback or need assistance with the MCP directory API, please join our Discord server