Claude-Atlas-MCP
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Claude-Atlas-MCPget landscape for work"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Claude-Atlas-MCP
Self-hosted MCP server that gives Claude persistent memory across conversations — entities, observations, history, and time-based reminders, in a lightweight Node/SQLite backend you run yourself.
Point Claude at it as an MCP connector and it can remember what you're working on from one conversation to the next: ongoing projects, decisions and their rationale, facts about you and your setup, and things to resurface on a future date.
Why
Claude forgets everything when a conversation ends. Atlas is a small, boring, durable memory layer you own end to end — no third-party service, no vendor lock-in. It's a single Node process backed by one SQLite file. Run it on a home server, a VPS, or your laptop.
Related MCP server: claude-memory-mcp
Data model
Concept | What it is |
Entity | A topic or project you want Claude to track (e.g. "Home Network", "Q3 Planning"). Has a name and a one-line summary. |
Observation | A single fact attached to an entity ("switched the router to the 6E band on 2026-06-01"). The atomic unit of memory. |
History event | A notable thing that happened, logged to the timeline for later recall. |
Reminder | A note with a |
Section | A top-level namespace — one of two fixed values, |
Tools
The server exposes 13 MCP tools:
Reading
get_landscape— everything in a section: all entities with their observations, plus any due reminders. Call at the start of a conversation to get oriented.search— keyword search across entities, observations, and history.get_entity— one entity and its observations by name.get_history— the timeline of logged events.
Writing
upsert_entity— create or update an entity's name/summary.add_observation— attach a fact to an entity.remove_observation— drop a fact that's stale or done.remove_entity— delete an entity and its observations.log_event— record a notable event to history.
Reminders
create_reminder— a note with atrigger_date(and optional entity link).list_reminders— all reminders, or just those currently due.dismiss_reminder— mark a reminder handled (it stops surfacing).remove_reminder— delete a reminder outright.
Requirements
Node.js with built-in SQLite support (
node:sqlite) — Node 22+.Docker (optional, recommended for deployment).
There are no native dependencies — storage is the built-in node:sqlite module, so there's nothing to compile.
Quick start (Docker)
git clone https://github.com/dcazman/Claude-Atlas-MCP.git
cd Claude-Atlas-MCP
cp .env.example .env # set a token
docker compose up -d --buildThe server listens on port 7784. Data persists to ./data (a single SQLite file) via the mounted volume.
Quick start (bare Node)
Requires Node 22+ (for built-in node:sqlite).
npm install
cp .env.example .env # set a token
npm start # or: node src/server.jsConnecting Claude
Atlas speaks MCP over streamable HTTP at POST /atlas-mcp. Add it as a connector using the server's URL with your token:
https://<your-host>/atlas-mcp?token=<your-secret>The token is the secret half of an ATLAS_TOKEN caller:secret pair (see below). You can also pass it as an X-Atlas-Token header or a Bearer token instead of the query string.
There's no section in the URL — every tool takes a section argument (work or personal), and which one a given conversation should default to is best set in your Claude project's custom instructions (e.g. "Your Atlas section is personal"). A GET /health endpoint is available for liveness checks.
For real use you'll want it behind HTTPS — a reverse proxy or a tunnel (Cloudflare Tunnel, Tailscale, nginx, etc.) in front of the container. The token is the only auth, so do not expose the port publicly without TLS.
Once connected, a good habit is to have Claude call get_landscape at the start of each conversation and keep entries updated (upsert_entity / add_observation / log_event / remove_observation) as things change — you can encode that in the connector's instructions field or your project's custom instructions.
Securing it
Atlas's built-in auth is a single shared token — fine behind a private network or tunnel, but thin if you're exposing it to the internet. For real access control, put a dedicated auth gateway in front rather than hardening this server yourself.
mcp-auth-proxy is a drop-in OAuth 2.1 / OIDC gateway for MCP servers — no code changes to Atlas:
Authenticate against your own IdP (Google, GitHub, Okta, Auth0, Azure AD, Keycloak, any OIDC provider), with an optional password.
Authorize users by exact match or glob (e.g.
*@yourcompany.com).Terminates TLS and proxies HTTP transports through as-is, verified across Claude, Claude Code, ChatGPT, Copilot, and Cursor.
Roughly, you'd point it at Atlas's HTTP endpoint:
./mcp-auth-proxy \
--external-url https://<your-domain> \
--tls-accept-tos \
-- http://localhost:7784/atlas-mcpSee its documentation for IdP setup and configuration. (Not affiliated — just a clean fit for self-hosted MCP servers like this one.)
Configuration
Set via .env (see .env.example):
Variable | Purpose |
| Required. One or more |
| Listen port (defaults to |
| Path to the SQLite file (defaults to |
Security
See SECURITY.md for the threat model, deployment hardening notes, and how to report a vulnerability.
License
MIT — see LICENSE.
This server cannot be installed
Maintenance
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