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STACK

Work with your STACK construction takeoffs and estimates from your AI assistant — find, review, create, and update projects in plain language, no code.

Category
Operations
View in the Claude registry
Integration details

Description

STACK is a construction takeoff and estimating platform used by estimators and preconstruction teams. This connector links your AI assistant to your STACK account so you can work with your projects, takeoffs, and estimates just by describing what you want — no code, and nothing to install. Once connected, your assistant can: • Find and review existing work — search projects and takeoffs, open and review estimates, and look things up in your takeoff libraries. • Create, update, and import — start new projects (including straight from an invitation-to-bid email), update project details, make bulk edits to takeoffs, and import from your libraries and company lists. You stay in control. You sign in on STACK's own secure page using standard OAuth 2.0 — your assistant never sees your password. A STACK-branded approval screen lets you choose exactly which capabilities to grant, and you can allow read-only work (finding and reviewing) without allowing changes. Before it creates, updates, or imports anything, your assistant shows you what it's about to do and waits for your approval. Your existing STACK permissions always apply: the connector can only see and change what you already could, and STACK enforces the same company ownership and user permissions it always has.

Integration type
Connector
Verification status
Community connector
Platform
Claude
Category
Operations

The broad Category that contains the Primary Subcategory.

Primary Subcategory
Field Service Management Software

The Primary Subcategory used for this profile’s headline score.

Secondary Subcategories
None listed

Other Subcategories where the Integration is listed.

Access
Account required
First tracked
2026-07-21
Tool count
19
Geography
US

Claude Discoverability Score

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Primary Subcategory
0 scoredVerified connectors by score · Community connectors A–Z
Primary Subcategory
—AI Dispatcher by FieldCampPending VerificationGet notified
—Axle ConnectPending VerificationGet notified
—CompanyCamPending VerificationGet notified
—CrisphivePending VerificationGet notified
—CryotosPending VerificationGet notified
—Field ControlPending VerificationGet notified
—FieldCampPending VerificationGet notified
—FluixPending VerificationGet notified
—Grid ControlPending VerificationGet notified
—HappyCoPending VerificationGet notified
—magicplanPending VerificationGet notified
—MaidPadPending VerificationGet notified
—Plan@JobPending VerificationGet notified
—ProjexionPending VerificationGet notified
—RdashPending VerificationGet notified
—ServiceM8Pending VerificationGet notified
—SitematePending VerificationGet notified
—STACKPending VerificationGet notified
—Trackunit IrisXPending VerificationGet notified
—WattwinPending VerificationGet notified
—WorkZenPending VerificationGet notified
—ZITAPending VerificationGet notified
Recommended guideHow to get your Claude Connector organically discoveredFollow the practical steps agents use to find, shortlist, and choose your Connector.Read guide
Tools

19 tools agents can invoke

STACK FAQ
How do I improve a Community connector's discoverability?

The levers are the listing surface agents actually read: names, descriptions, keywords, tool metadata, and registry health. Which lever matters depends on where discovery breaks, which is what continuous measurement shows.

What are STACK alternatives on Claude?

As of 2026-09-28, STACK competes with AI Dispatcher by FieldCamp, Axle Connect, CompanyCam, Crisphive, Cryotos, Field Control, FieldCamp, Fluix, Grid Control, HappyCo, Jobber, magicplan, MaidPad, Plan@Job, Projexion, Rdash, ServiceM8, Sitemate, Trackunit IrisX, Trussi AI, Wattwin, WorkZen, ZITA in Claude Field Service Management Software, ranked by public Discoverability Score.

Where is this profile measured?

This profile uses the geography attached to the latest public registry snapshot: US. Locale tags are intentionally omitted.