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Shared, living memory for you and your people — coves your AI assistant can read and write.
About
Shared, living memory for you and your people — coves your AI assistant can read and write.
Remote endpoints: streamable-http: https://reefwith.me/mcp
Security Report
Remote MCP endpoint verified (157ms response). 3 trust signals: valid MCP protocol, requires auth, registry import. No security issues detected.
Endpoint verified · Requires authentication · 2 issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
Remote servers are capped at 8.0 because source code is not available for review. The score reflects endpoint verification only.
Permissions Required
This plugin requests these system permissions. Most are normal for its category.
How to Connect
Remote Plugin
No local installation needed. Your AI client connects to the remote endpoint directly.
Add this to your MCP configuration to connect:
{
"mcpServers": {
"me-reefwith-reef": {
"url": "https://reefwith.me/mcp"
}
}
}Documentation
View on GitHubFrom the project's GitHub README.
rif
A remote MCP server that gives a group long-term assistant memory.
Memory lives in spaces: one private space per person, created at first sign-in, plus any number of named shared spaces — a household, a school circle, an accountant, a small project. A space is a group of people, started by whoever needs it, joined by email invitation from its owner. Everyone reaches it from the assistant they already use — Claude, the ChatGPT desktop app, or Codex — by adding this server as a remote MCP connector.
The store is Postgres. Row-Level Security is the privacy boundary, so a
forgotten filter in application code fails closed rather than leaking. A space
is addressed by personal or by the name the reader gave it, resolved against
their own memberships, so nobody can name anybody else's space. Those names are
per person — UNIQUE (person_id, alias) on the membership, never a global
namespace — so two households may each have a family without either being
able to tell the other exists, and no name can be squatted.
That boundary only holds if the app connects as an ordinary role: a superuser
carries BYPASSRLS and ignores every policy. The app therefore runs as
rif_app (DML, no DDL) while migrations and backups use a separate admin
credential — see scripts/provision_app_role.py.
Retrieval is index first, then fetch — Andrej Karpathy's LLM Wiki
pattern,
adapted for a shared, permissioned MCP service. The assistant calls
load_index for a map of every page it may see (path, title, tags, one-line
description, no bodies), then fetches what the conversation needs with
read_pages, and keeps fetching as topics come up. The index is computed from
the store on every call, so it cannot drift.
Page bodies are Markdown from the start. The web app exports current content as Markdown or JSON and offers a full data dump with history and stored file bytes, so the knowledge outlives the deployment. One-way, app to files.
Design: docs/spec.md.
Going live: docs/runbook.md.
Backup and restore: docs/restore.md.
Market landscape: docs/competitor-research.md.
CLI and agent skill
The uv/PyPI package (uv tool install reef-cli) is the full CLI: it mirrors
the complete MCP tool surface as named commands using shell-friendly hyphens
(load_index becomes load-index), plus reef call for an exact MCP tool
name and a JSON object as lossless passthrough. Every result is JSON; an MCP
application error such as not_found also exits nonzero.
The npm package (npm install -g @haai/reef-cli) is a minimal client: reef login,
reef tools to list the live MCP schemas, and reef call <tool> '<json>' —
the same passthrough covers everything the full CLI's named commands do, just
without the per-tool shortcuts. Both distributions install a reef command
and both sign in through the same secure browser flow, but each caches its
own OAuth tokens, so logging in with one doesn't log in the other.
uv tool install reef-cli
reef login
reef load-index
reef get-operating-protocol
reef read-pages personal profile.md preferences.md
OAuth tokens are cached in a user-private config file. Set REEF_MCP_URL to
use another endpoint (the default is https://reefwith.me/mcp), or provide a
session-scoped REEF_ACCESS_TOKEN for a headless invocation. Run reef tools
for the live MCP schemas and reef <command> --help for local arguments.
Large Markdown and JSON inputs can come from files or stdin, and file uploads are encoded automatically:
reef write-page personal plans.md --body-file ./plans.md \
--message "Add the summer plan" --title Plans
reef write-pages personal @./pages.json --message "Reorganize notes"
reef add-file personal ./lease.pdf --description "Signed rental agreement"
reef call read_pages '{"space":"personal","paths":["plans.md"]}'
The matching agent skill is skills/reef/SKILL.md. It
adds the retrieval protocol, private-by-default writes, optimistic locking,
and explicit confirmation rules for sharing, invitations, persona changes,
member removal, and file deletion.
Status
Live since 6 Aug 2026, deployed on Railway behind WorkOS AuthKit and in daily use from Claude Code. The v1 build is complete and reviewed — schema, access control, index and page reads, versioned writes, section-level sharing, protocol delivery, general file storage, import, backup, and export. Tests pass against a real Postgres. The connector gate passed, the real service is deployed, and the personal corpus is imported.
Browser frontend ships in the same image. Members can browse and edit pages
at /app, and owners can manage spaces from there — a React app built with Bun,
served by the same service. The MCP surface is unchanged; the web UI is additive.
Multi-user spaces landed next: spaces are named groups rather than a fixed
household tier, each with an accountable owner who invites people by email
(create_space, invite, remove_member), sharing targets any space the
person belongs to and discloses that space's member list, and a new person's
personal space plus starter pages appear at their first sign-in. Read-only
memberships are enforced by the RLS policies from day one, though nothing yet
creates one.
Everything still outstanding is tracked in one place: the "Open items"
list at the top of docs/runbook.md, grouped by what
each item is waiting on. The headlines:
- Backups run, but only by hand. One real dump exists in R2 and the
restore drill passed against it — counts matched production and RLS
survived. The daily cron service is not created yet, so nothing is
automatic. See Phase 4 of
docs/runbook.md. - Only one person is seeded, so rif is single-user in practice until the first invite goes out. That is now a tool call by the space's owner, not a migration.
meta/persona.mdis still the placeholder written during the first end-to-end test.- The context ceiling has not been measured from a phone.
Development
Requires Docker and uv.
docker compose up -d # Postgres on 5433, creating rif and rif_test
uv run pytest # builds its own schema in rif_test
uv run python scripts/migrate.py # only needed for the rif dev database
The local Postgres deliberately does not run the app as a superuser — see the
comment in docker-compose.yml. Superusers carry BYPASSRLS, which would
make the security tests pass without proving anything.
The migrations in src/rif/piccolo_migrations/ seed one person, his personal
space, and the school shared space he owns. Nobody else is seeded, by design:
an email is the key a first login binds against, and migrations do not re-run
to correct a guess. Everyone after this first person arrives through invite —
see Phase 2 of docs/runbook.md.
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