Every change to every endpoint, on the record.
Ambiscribe snapshots your whole fleet every five minutes and keeps a field-level history of what changed and when. Your engineers read it in the dashboard. Their AI agents query it over MCP.
Windows · macOS · Linux agents · diff-aware check-ins · queryable over the Model Context Protocol
Every ticket starts the same way: someone re-discovers the machine from scratch.
What's installed. What changed recently. How much disk is left. Whether the security posture slipped. For a human engineer that's routine friction, repeated on every ticket.
For an AI support agent it's a hard wall. Without structured access to current and historical endpoint state, the agent is guessing, and a guess is not something you let it act on.
Ambiscribe removes the rediscovery step. The state is already collected, already diffed, already queryable, for the person on the ticket and the agent working alongside them.
How it works
Collect, diff, and answer. On a five-minute loop.
Three moving parts, one job: track every endpoint's current state and its full history, ready to read or query.
Agents snapshot state
A lightweight agent on each Windows, macOS, and Linux endpoint reports full state every five minutes: hardware, OS, software, users, services, disks, network, and security posture.
The server records changes
Each report is diffed against the last. Ambiscribe stores the field-level delta, when it happened, and flags the high-signal events: BitLocker off, a new local admin, stale Defender signatures.
People and agents query it
Engineers work the dashboard, scoped per client. AI agents hit the same data through the Model Context Protocol or the REST query API, with composable filters.
What you get
A documentation layer that keeps itself current.
Client-centric by design, built for the engineers and the agents who actually read it.
The change feed
A categorized, field-level record of everything that moved, per machine and across the whole client. Filter to the notable events; pull any machine's exact state at a past timestamp.
Built for AI agents
Six MCP tools expose the fleet to any compatible agent, out of the box. The agent queries real data and reasons over it, instead of scraping screens.
Compliance baselines
Define expected state per client. See a color-coded pass/fail matrix the moment a machine drifts.
Cert & license tracking
TLS certificate expiry at 30 / 7 / 0 days, plus software license seat counts per client.
Cross-machine correlation
When the same change lands on many endpoints in one window, Ambiscribe clusters it for you.
Point-in-time snapshots
Ask any machine what it looked like at an exact moment. Every snapshot is kept in full, field by field.
Self-updating agents
Agents verify and swap themselves on release. SHA256-checked, atomic, no re-enrollment.
Webhooks & PSA push
HMAC-signed webhooks and email on notable changes. Push configs and inventory into the documentation tools you already run.
For AI agents
Give your agent the context, not a login.
A user reports a slow laptop. Instead of paging a human, the support agent queries Ambiscribe. It sees that disk usage crossed 95% four days ago and two new startup items appeared around the same time, then sends a targeted fix.
The change feed is what makes that fix trustworthy. The agent reads the full timeline, so it acts on what actually changed.
Six MCP tools, scoped per client, work with any MCP-compatible agent.
Where the line is
An informational layer. Deliberately not an RMM.
Ambiscribe documents and answers. It does not reach out and change your endpoints, and that boundary is on purpose.
- No remote control or remote scripting. It doesn't run commands on machines.
- No patch management or bulk fleet actions. It records the patch state; it doesn't push them.
- No alert storms or ticketing. It feeds your tools; it isn't another console to babysit.
- A complete, current picture of every endpoint, per client.
- A field-level history: see any endpoint as it was on any date.
- Structured access for humans and AI agents, through the same source of truth.
Stop rediscovering your fleet.
Know every endpoint's current state, and exactly how it got there.