Front
Read and write support varies by record
Record types covered in the setup guide
| Record types | Coverage and requirements |
|---|---|
| Supported. Confirm field permissions and sync direction. |
Keep supported Front and Supabase records aligned with two-way sync. Give each team access to current data while controlling which system can update each field.
Set this up from Claude or ChatGPTExample workflow
Object-specific availability and field permissions determine this mapping. Use the restrictions shown for each record type.
Starting eventA change involving Front Conversations or the proposed message or conversation table in Supabase needs a defined result in the other system.
Start with Front Conversations and the proposed message or conversation table in Supabase. Use the record-matching and field-ownership rules from your mapping worksheet.
Resolve conversation, participant, and customer context before associating messages.
Test a normal update and one failed or repeated update in the supported direction. Keep both record IDs with the test results.
What to verifyTest a delivery-state change, repeated message, private conversation, and reply linked to the correct thread.
Review records and field ownershipAI assistant
Connect the Stacksync MCP server to your AI assistant, then ask for the sync in plain language. You only sign in; there is no code to write and no API key to paste.
Server URL
https://mcp.stacksync.com/mcp codex mcp add stacksync --url https://mcp.stacksync.com/mcp
codex mcp login stacksync Complete the browser sign-in with your Stacksync account, then start a new Codex session.
claude mcp add --transport http stacksync https://mcp.stacksync.com/mcp Open Claude Code, run /mcp, select stacksync and complete the browser sign-in.
Then ask: “List my Stacksync workspaces.” Sign-in connects your assistant; it does not create a sync yet.
Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI and other assistants: setup steps in the docs.
Create a two-way sync between my Front and Supabase.
You can also ask for workflows and AI agents (Genies) that use Front and Supabase. The assistant checks what each app supports, for example:
New to Stacksync? Create an account first, then sign in from your assistant.
Mapping essentials
Match records by stable IDs and assign an owner for each field. The record notes identify the coverage to check.
Download the mapping worksheetCSV · No email required
| Front record | Supabase record | Record matching | Field ownership |
|---|---|---|---|
| ConversationsProposed record; confirm Stacksync object support.Reporting dataset | Proposed message or conversation tableProposed table; choose its name and schema. | Retain message ID, conversation/thread ID, channel, and sender identity. | Separate message history from actions that send new messages; preserve private/public visibility and channel consent. |
| ContactsDocumented record: SupportedReporting dataset | Proposed contact tableProposed table; choose its name and schema. | Use a stable person/contact ID and an explicit cross-system lookup. Email can change and can be shared, so treat it as a matching clue rather than a universal key. | Keep consent and communication preferences under an agreed authority; a general contact update must not silently resubscribe someone. |
| AccountsDocumented record: SupportedReporting dataset | Proposed company tableProposed table; choose its name and schema. | Retain the source company ID and the destination customer/company ID. Separate legal entities, subsidiaries, and business units; a shared name or web domain is insufficient. | Assign ownership separately for relationship details and finance-controlled billing details. |
Use writable fields from the connected accounts. Read values from read-only fields without writing changes back to them, and define deletion handling separately.
Why teams connect Front and Supabase
Start with the work your team needs to complete: keep records up to date, make operational data available for reporting, or move data to a new system. Choose one Front and Supabase workflow to test, define what success looks like, and decide who handles failed updates.
Show a customer's Front support history inside the product, scoped by Row Level Security Policies.
Trigger in-app behavior from new Front Messages using standard Postgres tooling on Supabase.
Build admin Views over Front Inboxes without maintaining API integration code.
Start with the records your workflow needs. Check each system’s read and write requirements before mapping fields.
Read and write support varies by record
Record types covered in the setup guide
| Record types | Coverage and requirements |
|---|---|
| Supported. Confirm field permissions and sync direction. |
Read and write support varies by record
Record types covered in the setup guide
| Record types | Coverage and requirements |
|---|---|
| See connector requirements. Confirm field permissions and sync direction. |
Review how each system connects, detects changes, and permits access to your records.
View setup requirements and limits| Connection requirement | Front | Supabase |
|---|---|---|
| Integration interface | REST API (Core API) | PostgreSQL connection through the Supabase IPv4-compatible Transaction Pooler |
| Authentication | OAuth authorization via the Stacksync UI | Postgres database credentials entered in the secure Stacksync connection form |
| Change detection | The saved Stacksync guide does not specify the change-detection mechanism. | Postgres connector requirements apply. |
| Read access | Available for supported records | Available for supported records |
| Write access | Available for supported records | Available for supported records |
Enterprise controls
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:
Inspect sync errors and use retry and revert controls to resolve failed updates.
Read the recovery guideImplementation
Review setup, record relationships, testing, and recovery for your implementation.
Documentation reviewed 2026-09-15. Check the linked guides for current account and record requirements.
Documentation reviewed 2026-10-20. Check the linked guides for current account and record requirements.
Set up both accounts before testing the mapping. Use test records where available, and identify the account administrator who can approve access and help resolve setup errors.
Setup guides: Authorize Front
Setup guides: Authorize SupabasePostgres connectorRequired Postgres permissions
Record the fields each system can update, the first-load cutoff, both record IDs, the expected update delay, and who handles errors. Complete the tests before production before expanding to more records.
Use the Front and Supabase planning worksheet to capture these decisions. Record the access owner in the worksheet and enter credentials only in the connection setup.
Keep each record tied to its source ID. Use the references below to choose field owners and preserve relationships between records.
Download the mapping worksheet · CSV, no email required
Reporting dataset
Plan a message or conversation dataset while preserving its source meaning.
Object-specific availability and field permissions determine this mapping. Use the restrictions shown for each record type.
Fields to include
References: Front: Conversations documentation
Reporting dataset
Plan a contact dataset while preserving its source meaning.
Object-specific availability and field permissions determine this mapping. Use the restrictions shown for each record type.
Fields to include
References: Front: Contacts documentation
Reporting dataset
Plan a company dataset while preserving its source meaning.
Object-specific availability and field permissions determine this mapping. Use the restrictions shown for each record type.
Fields to include
References: Front: Accounts documentation
Reporting dataset
Plan a application user or identity dataset while preserving its source meaning.
Object-specific availability and field permissions determine this mapping. Use the restrictions shown for each record type.
Fields to include
References: Front: Teammates documentation
Reporting dataset
Plan a event or activity dataset while preserving its source meaning.
Object-specific availability and field permissions determine this mapping. Use the restrictions shown for each record type.
Fields to include
References: Front: Events documentation
Use Front Conversations and Supabase Proposed message or conversation table in Supabase (choose its name) for the first pilot. Verify its identity and permitted direction, then add dependent records only when the acceptance checks pass.
Object-specific availability and field permissions determine this mapping. Use the restrictions shown for each record type.
Starting event: A change to the selected Conversations or Proposed message or conversation table in Supabase (choose its name) record needs a defined result in the other system.
Expected result: Test a delivery-state change, repeated message, private conversation, and reply linked to the correct thread.
If it fails: Check provider delivery state before retrying a send; replaying history must not send the message again.
Object-specific availability and field permissions determine this mapping. Use the restrictions shown for each record type.
Starting event: A change to the selected Contacts or Proposed contact table in Supabase (choose its name) record needs a defined result in the other system.
Expected result: Test an email change, two records sharing an email, and a person associated with multiple organizations.
If it fails: Hold ambiguous matches for review and reconcile the person ID before retrying; preserve the consent decision already recorded by its owner.
Object-specific availability and field permissions determine this mapping. Use the restrictions shown for each record type.
Starting event: A change to the selected Accounts or Proposed company table in Supabase (choose its name) record needs a defined result in the other system.
Expected result: Use two organizations with similar names and one with multiple business units. Verify that an update reaches the intended entity only.
If it fails: Repair the cross-system ID relationship before retrying dependent records; do not merge companies solely to remove a sync error.
Validate the selected objects and operations even where connector-level direction is documented.
Starting event: A case or customer conversation in Front needs context from Supabase.
Expected result: A reopened or merged case retains its customer relationship; private service content is not exposed through another system.
If it fails: Review the current case/thread and any message already sent before retrying; a status repair should not create another reply.
Keep both record IDs with the expected and actual result. Reconcile the same filters and time window in each system.
Test a delivery-state change, repeated message, private conversation, and reply linked to the correct thread.
The expected message or conversation relationship is preserved with no duplicate action or unintended write.
Test an email change, two records sharing an email, and a person associated with multiple organizations.
The expected contact relationship is preserved with no duplicate action or unintended write.
Use two organizations with similar names and one with multiple business units. Verify that an update reaches the intended entity only.
The expected company relationship is preserved with no duplicate action or unintended write.
Test a renamed login, disabled account, missing group, and a user existing in two tenants.
The expected application user or identity relationship is preserved with no duplicate action or unintended write.
Check that each connected account can read and write the chosen objects. Exercise both directions with a test record before enabling production changes.
Only an approved, supported direction and permitted fields are written.
Measure source and destination times for the selected records under normal load and a burst. Reconcile IDs and values using the same filters and cutoff.
The process meets its agreed freshness target and reconciliation has no unexplained differences.
Start with the failed record and the destination error, then inspect the source value, field requirements, and access.
Inspect Front Conversations and Supabase Proposed message or conversation table in Supabase (choose its name), their IDs, and the destination error.
Check provider delivery state before retrying a send; replaying history must not send the message again.
Inspect Front Contacts and Supabase Proposed contact table in Supabase (choose its name), their IDs, and the destination error.
Hold ambiguous matches for review and reconcile the person ID before retrying; preserve the consent decision already recorded by its owner.
Inspect Front Accounts and Supabase Proposed company table in Supabase (choose its name), their IDs, and the destination error.
Repair the cross-system ID relationship before retrying dependent records; do not merge companies solely to remove a sync error.
Check the Front and Supabase connector guides, account permissions, and any operations marked On Request.
Ask the integration team to confirm a supported way to handle that record. Verify whether it needs connector configuration or a separate workflow step.
Compare current source values, destination validation, identity mappings, and any side effects already completed.
Stacksync issue retry reads the current source state. Decide the intended state before retrying or reverting; reconcile downstream effects separately.
Read the Stacksync issues dashboard guide for retry and revert behavior.
See how each system detects changes and which updates the other system can receive. Each direction has its own permissions and record requirements.
Detect changesThe saved Stacksync guide does not specify the change-detection mechanism. Confirm it for the selected objects.
Apply updatesSelected writable fields update in Supabase. Its permissions and validation rules still apply; rejected records can be inspected in the Issues dashboard.
Detect changesPostgres connector requirements apply. If logical replication permissions are unavailable, the documented Postgres Heroku connector provides a trigger-based alternative, including for non-Heroku databases.
Apply updatesSelected writable fields update in Front. Its permissions and validation rules still apply; rejected records can be inspected in the Issues dashboard.
Stacksync connects Front and Supabase with two-way sync for supported records. Authorize the accounts, select the record types, and map compatible fields. Both connectors support reading and writing; object permissions determine the available fields. Use the Issues dashboard to inspect and resolve rejected updates.
Stacksync supports two-way sync between writable records in both systems. The chosen objects and fields must permit updates in both directions. Read-only fields can supply values but cannot receive updates. Stacksync can read database views; it does not write back to the view.
Prepare both accounts, the selected object schemas, stable source and destination IDs, and the expected outcome. Create a Front connection in Stacksync and complete the authorization flow. Connect the Supabase database through the Postgres connection flow using an IPv4-compatible Transaction Pooler connection string. Use the pair worksheet to record ownership and acceptance criteria.
Measure initial-load and ongoing-change latency separately. Source detection, selected objects, account limits, and destination validation determine the observed delay.
No. Stacksync documents that pre-existing duplicates are not merged automatically when two-way sync begins. Review the initial dataset and matching plan before enabling it; an empty destination can simplify the first load.
Start with one business entity and a stable record ID. Map a small set of editable fields with compatible types, test required values and relationships, then expand after the pilot passes.
Check the destination error, field constraints, permissions, and current source value. The Stacksync issues dashboard supports retry and revert; retry reads current source values, so verify the intended record state before acting.
Use the current Stacksync pricing page and confirm the supported implementation with the team. Scope the required objects, record volume, update frequency, initial load, and support needs when comparing a managed connector with native or custom development.
Start by reviewing Conversations in Front and Proposed message or conversation table in Supabase (choose its name) in Supabase. Check how these records relate in your workflow, then confirm the actual fields and supported operations. Test record matching and one failed or repeated update before adding more records.
Use Front Conversations and Supabase Proposed message or conversation table in Supabase (choose its name) for the first pilot. Verify its identity and permitted direction, then add dependent records only when the acceptance checks pass.
Next step
Walk through your Front and Supabase records, field mappings, and requirements with an integration engineer.