Two-way sync
Changes in Jira or Microsoft Teams instantly reflect in both systems. No stale data, no manual imports.
Keep Jira and Microsoft Teams in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Microsoft Teams is where customer-facing and operational work happens: the tickets, conversations, contacts, and records a team touches every day. Jira is where engineering runs the systems behind that work — the issue trackers, message brokers, directories, and monitors that keep services moving. The same items, people, and events matter to both, and when the only link between them is a manual hand-off or an overnight export, each side acts on a stale copy of what the other already knows.
Stacksync syncs Tabs & Installed Apps, Teams, Channels, Channel Messages in Microsoft Teams with Components, Users, Issues, Projects in Jira field by field, in real time, and in both directions. You decide which system owns which fields; Stacksync maps the overlap, resolves conflicts by rules you set, and keeps every copy current, with no middleware to build and no API limits to babysit.
Where both systems keep records for the same contacts, items, or users, a correction in either updates the other, ending dual maintenance and keeping IDs aligned for every other flow.
A ticket or request raised in Microsoft Teams opens or updates a matching issue in Jira, and status, comments, and resolution flow back, so support and engineering work the same item instead of retyping it.
Records created or changed in Microsoft Teams publish to the queue or topic in Jira as they happen, so downstream services react to real events rather than polling for them.
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.
| Jira objects | Microsoft Teams objects | How this pairing syncs | |
|---|---|---|---|
| Versions Release / fix-version records per Project; synced to align roadmap and release tools on what ships in each version. | Channel Messages Posted messages read for archiving or written to broadcast record changes. | Versions is specific to Jira and Channel Messages to Microsoft Teams — each maps to any object or custom field on the other side. | |
| Components Sub-project categories used to route and group Issues; synced so ownership and triage stay consistent across tools. | Chats & Chat Messages 1:1 and group chat content read under protected-API access for compliance use. | Components is specific to Jira and Chats & Chat Messages to Microsoft Teams — each maps to any object or custom field on the other side. | |
| Users Account records referenced as reporters, assignees, and watchers; read to resolve accountId to a person when mapping Issue ownership. | Team Members & Users Membership synced with identity, HR, or CRM ownership data. | Users is specific to Jira and Team Members & Users to Microsoft Teams — each maps to any object or custom field on the other side. | |
| Issues Core work items (stories, bugs, tasks, epics, sub-tasks); synced two-way with databases and other trackers, keyed by issue key with an updated field for incrementals. | Online Meetings Meeting records synced with scheduling and CRM activity timelines. | Issues is specific to Jira and Online Meetings to Microsoft Teams — each maps to any object or custom field on the other side. | |
| Projects Containers that group Issues, workflows, and permissions; usually read to segment syncs by team, or written when standing up a new project. | Tabs & Installed Apps App configuration read to audit or provision team workspaces. | Projects is specific to Jira and Tabs & Installed Apps to Microsoft Teams — each maps to any object or custom field on the other side. | |
| Comments Discussion threads on Issues; in v3 the body is Atlassian Document Format JSON, so rich text is preserved when syncing to and from other systems. | Teams Team containers provisioned or read to mirror org and project structure. | Comments is specific to Jira and Teams to Microsoft Teams — each maps to any object or custom field on the other side. |
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.
DetectionJira notifies Stacksync of record changes through webhook events. Jira webhooks (jira:issue_created / _updated / _deleted plus comment and worklog events) for near-real-time.
DeliveryEach detected change is written to Microsoft Teams through its API, with automatic retries and rate-limit backoff.
DetectionMicrosoft Teams notifies Stacksync of record changes through webhook events. Graph change notifications (webhooks) for messages and membership.
DeliveryEach detected change is written to Jira through its API, with automatic retries and rate-limit backoff.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Jira–Microsoft Teams connection.
Changes in Jira or Microsoft Teams instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Jira or Microsoft Teams data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Jira or Microsoft Teams record.
Track your Jira ⇄ Microsoft Teams sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Jira and Microsoft Teams.
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.
Authenticate Jira and Microsoft Teams with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Pick the Jira and Microsoft Teams 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.
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Yes. Stacksync provides a managed, real-time two-way integration between Jira and Microsoft Teams: authenticate both systems, choose the objects to sync (such as Jira's Versions and Components), map fields visually, and changes propagate both ways in milliseconds — no code required.
Jira: REST API v2 and v3 plus the Jira Software (Agile) REST API. Authentication: OAuth 2.0 (3LO) for apps, or Basic auth with an Atlassian account email plus API token. Microsoft Teams: REST API (Microsoft Graph). Authentication: OAuth 2.0 via Microsoft Entra ID; reading message content at scale requires Microsoft-approved protected-API access. Stacksync manages authentication, retries, and rate limits on both sides.
Microsoft Teams: Teams has no standalone API; all programmatic access goes through Microsoft Graph alongside the rest of Microsoft 365. Jira: Rate limiting is cost-based; JQL search is far more expensive than a single-issue read, and 429 responses carry a Retry-After header. Stacksync's field mapping accounts for these differences between Jira and Microsoft Teams without custom code.
Stacksync is SOC 2 Type II and ISO 27001 certified with HIPAA BAA support. Data is encrypted in transit, and a zero-persistent-storage architecture means Jira and Microsoft Teams records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Jira and Microsoft Teams connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Jira–Microsoft Teams integration in-house.
Yes — Stacksync ships production-grade connectors for both Jira and Microsoft Teams. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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.
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Securely connects to your systems with:
Every pair below is a real-time, two-way sync. Search all 324 integrations available for Jira and Microsoft Teams.