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JetStack AI CLI - Manage CRM assets programmatically

Package Exports

  • @jetstackai/cli
  • @jetstackai/cli/dist/index.js

This package does not declare an exports field, so the exports above have been automatically detected and optimized by JSPM instead. If any package subpath is missing, it is recommended to post an issue to the original package (@jetstackai/cli) to support the "exports" field. If that is not possible, create a JSPM override to customize the exports field for this package.

Readme

JetStack AI CLI

Manage HubSpot and Salesforce assets programmatically via the command line.

Installation

npm install -g @jetstackai/cli

Quick Start

  1. Go to your JetStack AI dashboard > Settings > API Keys
  2. Generate a new token and copy both the Instance ID and Access Token
  3. Run the login command:
jetstackai auth login

You will be prompted to enter your Instance ID and Access Token:

JetStack AI - Authentication

Enter your Instance ID: <paste Instance ID from dashboard>
Enter your Access Token: <paste Access Token from dashboard>

Validating credentials...
✓ Connected successfully
  Organization: org_xxx
  Scopes: portals:read, assets:read, ...

Command Reference

Authentication

Command Description
jetstackai auth login Authenticate with JetStack AI
jetstackai auth logout Remove stored credentials
jetstackai auth status Check authentication and connection status
jetstackai auth whoami Show current authentication details

Portals

Command Description
jetstackai portals list List connected HubSpot portals

HubSpot Browse

Command Description
jetstackai hubspot browse <portalId> <assetType> Browse assets in a HubSpot portal

Supported asset types: workflows, forms, emails, lists, pipelines, pages, templates, blogPosts, hubdbTables, properties, propertyGroups, customObjects

jetstackai hubspot browse abc123 workflows --format table
jetstackai hubspot browse abc123 properties --object-type contacts

Import

Command Description
jetstackai import start --portal <id> --assets <type:id,...> --name <name> Import assets from HubSpot
jetstackai import status <taskId> [--watch] Check/watch import progress 
jetstackai import start --portal abc123 --assets workflows:101,forms:202 --name "Q1 Import"
jetstackai import status task123 --watch

Assets

Command Description
jetstackai assets list [--type <type>] [--portal <id>] [--limit <n>] List imported library assets 
jetstackai assets list --type workflows --format table
jetstackai assets list --portal abc123 --limit 50

Modules

Command Description
jetstackai modules list List modules (playbooks)
jetstackai modules get <id> Get module details

Deploy

Command Description
jetstackai deploy start --name <name> --source <id> --target <id> --assets <type:id,...> [--mapping <json>] Deploy assets to target portal
jetstackai deploy status <taskId> [--watch] Check/watch deployment progress 
jetstackai deploy start --name "Prod Deploy" --source abc --target def --assets workflows:fsId1
jetstackai deploy status task123 --watch

Mapping

Command Description
jetstackai mapping structure --source <id> --target <id> --assets <type:id,...> Get mapping requirements
jetstackai mapping destinations --target <id> --type <assetType> [--object-type <type>] Get mapping targets in destination portal

Tasks

Command Description
jetstackai tasks list [--type <type>] [--status <status>] List background tasks
jetstackai tasks get <id> Get task details

Audits

Command Description
jetstackai audits list-blocks [--report-type <type>] [--category <cat>] List available audit blocks
jetstackai audits list-templates List audit templates
jetstackai audits get-template <id> Get audit template details
jetstackai audits create-template --name <name> --blocks <id,...> --report-type <type> Create audit template
jetstackai audits run --name <name> --template <id> --portal <id> [--watch] Run an audit
jetstackai audits status <auditRunId> [--watch] Check/watch audit progress
jetstackai audits data <auditRunId> Fetch audit results 
jetstackai audits list-blocks --report-type SIMPLE --format table
jetstackai audits run --name "Q1 Audit" --template tpl123 --portal abc123 --watch

Profiles

Search, scan, and inspect asset profiles for AI-driven matching and discovery.

Command Description
jetstackai profiles search [--type <type>] [--object-type <type>] [--portal <id>] Search library asset profiles
jetstackai profiles scan <portalId> <assetType> [--fresh] Scan a HubSpot portal for profiles (cached 24h)
jetstackai profiles scan-all <assetType> [--fresh] Scan all portals for profiles
jetstackai profiles detail <type> <id> Get full raw asset data from MongoDB
jetstackai profiles mermaid <id> Get Mermaid flowchart for an imported workflow
jetstackai profiles preview-mermaid <portalId> <workflowId> Preview Mermaid flowchart without importing 
# Search for workflow profiles across your library
jetstackai profiles search --type workflows --object-type Contact --format table

# Scan a portal for workflow profiles (fresh from HubSpot)
jetstackai profiles scan abc123 workflows --fresh --format table

# Scan ALL portals for the best workflow match
jetstackai profiles scan-all workflows --format json

# Get Mermaid diagram for an imported workflow
jetstackai profiles mermaid workflow-doc-id

# Preview a workflow from HubSpot without importing
jetstackai profiles preview-mermaid abc123 12345

Salesforce

The salesforce command (alias: sf) provides full Salesforce org management.

Command Description
jetstackai sf list List connected Salesforce orgs
jetstackai sf browse <connId> <assetType> Browse assets in a Salesforce org
jetstackai sf import start --connection <id> --assets <pairs> --name <name> Import SF assets to library
jetstackai sf import status <taskId> [--watch] Check/watch SF import progress
jetstackai sf deploy start --name <name> --target <id> --assets <pairs> Deploy SF assets to target org
jetstackai sf deploy status <taskId> [--watch] Check/watch SF deploy progress
jetstackai sf mapping structure --assets <pairs> Get mapping requirements
jetstackai sf mapping destinations --connection <id> --type <type> Get mapping targets from target org
jetstackai sf fieldsets list List Property Sets
jetstackai sf fieldsets get <id> Get Property Set details
jetstackai sf fieldsets delete <id> Delete a Property Set

Supported browse types: objects, fields, salesProcesses, leadProcesses, supportProcesses, recordTypes

Asset pair format: type:id,type:id (e.g., objects:JS_Project__c,salesProcesses:019gK...)

# List Salesforce connections
jetstackai sf list --format table

# Browse custom objects
jetstackai sf browse abc123 objects --format table

# Browse fields for a specific object
jetstackai sf browse abc123 fields --object-type Account

# Import custom objects
jetstackai sf import start --connection abc123 --assets "objects:JS_Project__c,objects:JS_Task__c" --name "Q1 Import"

# Watch import progress
jetstackai sf import status task123 --watch

# Get mapping requirements before deploy
jetstackai sf mapping structure --assets "objects:JS_Client__c" --format table

# Get Record Types available in target org
jetstackai sf mapping destinations --connection def456 --type recordTypes --format table

# Deploy with mapping
jetstackai sf deploy start --name "Prod Deploy" --target def456 --assets "objects:JS_Project__c" --mapping '{"recordTypes":{"012src":"012tgt"}}'

# Watch deploy progress
jetstackai sf deploy status task456 --watch

Output Formats

Most commands support --format to control output:

# JSON output (default)
jetstackai portals list

# Table output
jetstackai portals list --format table

Set the default format during login, or by editing ~/.jetstackai/config.json:

{
  "instanceId": "...",
  "accessToken": "jsai_...",
  "defaultFormat": "table"
}

Claude Code Integration

JetStack AI CLI works with Claude Code for AI-assisted HubSpot asset management. After authenticating, Claude Code can use the CLI to browse portals, search asset profiles, generate workflow diagrams, and manage deployments.

MCP Server

For direct AI integration via the Model Context Protocol, connect to https://mcp.jetstack.ai in Claude, ChatGPT, or other MCP-compatible AI assistants.

Configuration

Credentials are stored locally at ~/.jetstackai/config.json. Use jetstackai auth logout to remove them.

Documentation

License

MIT