Real-time
Two-way sync
Changes in Jumpcloud or MongoDB instantly reflect in both systems. No stale data, no manual imports.
Security and identity ⇄ Database
Jumpcloud to MongoDB integration — real-time, two-way sync
Keep Jumpcloud and MongoDB in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
- SOC 2 and 6 other compliance frameworks
- POC with real engineers in minutes
Adopted by fast-scaling companies moving mission-critical data in real time
Case study
Migrated from MuleSoft
Case study
Migrated from Celigo
Migrated from Heroku Connect
Migrated from Matillion
Case study
Migrated from Fivetran
Case study
Migrated from Celigo
Why teams connect Jumpcloud and MongoDB
Close the gap between your application data and your directory: MongoDB and Jumpcloud share users, groups, and access in real time, in both directions.
Jumpcloud is the system of record for who people are and what they can reach: users, the groups they belong to, and the applications assigned to them. MongoDB holds the operational data those same people show up in, whether an employee or member table that decides who should have an account at all, a customers list, or the rows an application checks before it authorizes an action. The two describe overlapping users and groups, and when a nightly export or a hand-run script is all that connects them, accounts lag joiners and leavers and the application authorizes against a stale picture of who has access.
Stacksync syncs Embedded documents and arrays, Indexes, Views, Change streams in MongoDB with Policies, Commands, Directory Insights events, System Users (Users) in Jumpcloud field by field, in real time, and in both directions. You decide which system owns which fields, with the directory holding credentials and group membership and the database holding the source list of people who should exist at all, and Stacksync keeps every copy consistent, resolving conflicts by rules you set. A person added to a table becomes an account within seconds, a departure disables one just as fast, and the directory's users and groups are always present in your tables as ordinary rows.
Common use cases
- 01 Keep a MongoDB-backed product catalog aligned with an ERP's item master in both directions.
- 02 Consolidate documents from multiple clusters or tenants into a single warehouse-facing store.
- 03 Read Systems and System Group memberships into a database for device inventory, patch reporting, and conditional-access analysis.
- 04 Drive Application and Policy assignments from HR attributes or entitlement tables so SSO access and device policies change the moment a role does.
Common sync patterns
Deprovision the moment the record changes
When someone is marked inactive or removed in MongoDB, the matching account in Jumpcloud is disabled within seconds, closing the window between a departure and a login that still works.
Read users and groups as ordinary tables
Users, groups, and their memberships from Jumpcloud land in MongoDB as rows your application and queries can join, so authorization checks and access reporting run against the database instead of the directory API.
Keep group and role membership aligned
A group or role change made in either system updates the other, so the entitlements an application enforces match what the directory grants.
What you can sync between Jumpcloud and MongoDB
Representative objects on each side — any object or custom field can map to any target. Schemas are auto-detected; types are converted between the two systems.
| Jumpcloud objects | MongoDB objects | How this pairing syncs | |
|---|---|---|---|
| Policies Device configuration and MDM policies; read, created from templates, and updated via v2 /policies, then bound to systems and system groups to enforce settings across the fleet. | Documents BSON records created, updated, and deleted during syncs, keyed by _id. | Policies is specific to Jumpcloud and Documents to MongoDB — each maps to any object or custom field on the other side. | |
| Commands Scripts and commands run on managed systems; full CRUD via v1 /commands, then triggered on target systems and groups for automation and remediation. | Embedded documents and arrays Nested structures that syncs flatten or map to related records in relational targets. | Commands is specific to Jumpcloud and Embedded documents and arrays to MongoDB — each maps to any object or custom field on the other side. | |
| Directory Insights events Audit stream of logins and admin actions across SSO, LDAP, RADIUS, systems, and MDM; read-only, queried by POST and used as the change feed and SIEM source. | Indexes Keep lookups by sync key fast on large collections. | Directory Insights events is specific to Jumpcloud and Indexes to MongoDB — each maps to any object or custom field on the other side. | |
| System Users (Users) Directory user accounts (email, username, attributes, status, MFA, group and app bindings); full CRUD via the v1 /systemusers API - create, update, activate or suspend, and delete to match an HR or identity source. | Views Read-only aggregation-defined sources for filtered sync datasets. | System Users (Users) is specific to Jumpcloud and Views to MongoDB — each maps to any object or custom field on the other side. | |
| User Groups User groups that grant app, LDAP, and RADIUS access; created, updated, and deleted via v2 /usergroups, with membership managed through the graph association endpoints. | Change streams The oplog-backed event feed that powers real-time change capture. | User Groups is specific to Jumpcloud and Change streams to MongoDB — each maps to any object or custom field on the other side. | |
| Systems (devices) Enrolled macOS, Windows, and Linux machines running the JumpCloud agent; agent-enrolled, so the API reads, updates, and deletes systems for inventory and management rather than creating them. | GridFS files Chunked file storage whose metadata can be referenced by synced documents. | Systems (devices) is specific to Jumpcloud and GridFS files to MongoDB — each maps to any object or custom field on the other side. |
How changes propagate between Jumpcloud and MongoDB
Each direction of the sync is driven by what the source system can signal and what the destination accepts — detection, delivery, and expected latency below.
Jumpcloud MongoDB Sub-second propagation
DetectionJumpcloud notifies Stacksync of record changes through webhook events. No database-style change log.
DeliveryEach detected change is applied to MongoDB as a row-level write, with types converted between the two schemas.
MongoDB Jumpcloud Sub-second propagation
DetectionChanges in MongoDB are captured at the source via change data capture — no polling loop against its API. MongoDB oplog and change streams (requires the database to run as a replica set — even single-node).
DeliveryEach detected change is written to Jumpcloud through its API, with automatic retries and rate-limit backoff.
Rate-limit considerations
- Jumpcloud: JumpCloud rate-limits API requests and returns HTTP 429 (Rate limit exceeded) when a client sends requests too quickly; its guidance is to back off and retry at a lower rate. Specific per-minute ceilings are not published, and the Directory Insights API is metered separately. Webhook deliveries are retried three times with exponential backoff on 5xx, 408, or 429 responses.
What ships with Jumpcloud ⇄ MongoDB
Connect Jumpcloud and MongoDB for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Jumpcloud–MongoDB connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Jumpcloud or MongoDB data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
At scale
Event queues
Handle millions of events per minute without losing a single Jumpcloud or MongoDB record.
Observability
Monitoring
Track your Jumpcloud ⇄ MongoDB sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Jumpcloud and MongoDB.
How the Jumpcloud and MongoDB connectors work
Jumpcloud
- Integration surface
- JumpCloud REST API - v1 (console.jumpcloud.com/api) for Systems, System Users, and Commands; v2 (/api/v2) for User Groups, System Groups, Applications, Policies, and resource associations; plus the Directory Insights API (api.jumpcloud.com/insights/directory/v1/events) and Webhook Channels for outbound events.
- Authentication
- Admin API key sent in the x-api-key header (keys are prefixed jca_, generated in the console with a 30-365 day expiry, and disabled for admins by default until enabled); an x-org-id header scopes calls to a single organization for MSP multi-tenant admins. System Context authorization (HMAC-signed) also exists for agent-run calls.
- Change detection
- No database-style change log. The Directory Insights API is queried by POST for login and admin events across SSO, LDAP, RADIUS, systems, MDM, and directory services - including the association_change event that records user-to-group and policy-to-device membership changes; Webhook Channels tied to Insights Rules POST JSON to a registered endpoint for near-real-time triggers.
- Capabilities
- read · write · webhooks
- Rate limits
- JumpCloud rate-limits API requests and returns HTTP 429 (Rate limit exceeded) when a client sends requests too quickly; its guidance is to back off and retry at a lower rate. Specific per-minute ceilings are not published, and the Directory Insights API is metered separately. Webhook deliveries are retried three times with exponential backoff on 5xx, 408, or 429 responses.
MongoDB
- Integration surface
- MongoDB wire protocol via official drivers; Atlas additionally offers an administration REST API for cluster management
- Authentication
- Database credentials (username/password) or TLS/SSL X.509 certificate (.pem upload), entered individually or via a MongoDB connection string (SRV or standard); Stacksync IP allowlisting required
- Change detection
- MongoDB oplog and change streams (requires the database to run as a replica set — even single-node); Stacksync leverages these built-in tools to track changes in real time
- Capabilities
- read · write · CDC
How it works
How to connect Jumpcloud to MongoDB — three steps, no code
Configure and sync within minutes, no code. Whether you sync 50k or 100M+ records, Stacksync handles the queues, infra, and plumbing. Integrations are non-invasive and need zero setup on your systems.
- 01
Connect your apps
Authenticate Jumpcloud and MongoDB with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Jumpcloud
connected
MongoDB
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Jumpcloud and MongoDB objects to sync — Stacksync auto-detects both schemas, including custom fields where the platform exposes them. Sync to existing tables, or let Stacksync create new ones with ideal data types.
objects · Jumpcloud ⇄ MongoDBCustomers 12,480Sales Orders 8,213Invoices 5,902Items 1,344 - 03
Map fields
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Jumpcloud MongoDBCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Jumpcloud and MongoDB integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Jumpcloud and MongoDB: authenticate both systems, choose the objects to sync (such as Jumpcloud's Policies and Commands), map fields visually, and changes propagate both ways in milliseconds — no code required.
-
Yes — Stacksync ships production-grade connectors for both Jumpcloud and MongoDB. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
-
Change detection on Jumpcloud: No database-style change log. The Directory Insights API is queried by POST for login and admin events across SSO, LDAP, RADIUS, systems, MDM, and directory services - including the association_change event that records user-to-group and policy-to-device membership changes; Webhook Channels tied to Insights Rules POST JSON to a registered endpoint for near-real-time triggers. On MongoDB: MongoDB oplog and change streams (requires the database to run as a replica set — even single-node); Stacksync leverages these built-in tools to track changes in real time. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
-
On the MongoDB side: Embedded documents and arrays, Indexes, Views, Change streams, plus custom fields where MongoDB exposes them. On the Jumpcloud side: Policies, Commands, Directory Insights events, System Users (Users). Stacksync auto-detects both schemas and converts types between the two systems.
-
Yes. Each object mapping can be bidirectional or restricted to a single direction (both systems accept writes). Read-only mirrors, one-way pushes, and full two-way sync can be mixed in the same integration.
-
Common patterns for Jumpcloud and MongoDB: Deprovision the moment the record changes; Read users and groups as ordinary tables; Keep group and role membership aligned. When someone is marked inactive or removed in MongoDB, the matching account in Jumpcloud is disabled within seconds, closing the window between a departure and a login that still works.
SECURITY
Security teams trust Stacksync
As a data company, we understand the importance of keeping your data secure. Stacksync is built with security best practices to keep your data safe at every layer, and is DPF-certified for US, EU, UK and CH data transfers.
SOC 2 Type II
ISO 27001
HIPAA BAA
GDPR
CCPA
DPF US-EU-UK-CH
→ SECURITY WITH BENEFITS
SSO & SCIM
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Alerts
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Secure connection options
Securely connects to your systems with:
Related integrations
Every pair below is a real-time, two-way sync. Search all 538 integrations available for Jumpcloud and MongoDB.
Popular · 8 of 538
-
Jumpcloud ⇄ RavenDB -
Jumpcloud ⇄ Redis Enterprise -
Jumpcloud ⇄ SAP ASE (Sybase) -
Jumpcloud ⇄ Scaleway Postgres -
MongoDB ⇄ Azure Active Directory -
MongoDB ⇄ Okta -
MongoDB ⇄ Onelogin -
MongoDB ⇄ Auth0
No integrations match .
