PRACTICAL FIELD GUIDE

Handle deletion events without assuming a later fetch succeeds

After a deletion, a follow-up record fetch may correctly return not found. A consumer needs enough event context or its own state to process removal without treating that response as an unrelated outage.

MCPBackend editorial team · · Examples are illustrative

Put it into practice

  1. Inspect the documented deletion event and identify the record key it supplies.
  2. Remove or mark the corresponding downstream item through an idempotent operation.
  3. Test duplicate and out-of-order delete handling with controlled fixtures.

What this looks like

ILLUSTRATIVE EXAMPLE

A search index receives a deletion notification and then tries to fetch the row, which no longer exists. The missing row is expected.

A boundary to keep clear

Do not interpret every 404 as a deletion without authorized event or reconciliation context. Access restrictions can also hide a record.

MCPBackend context

MCPBackend webhooks currently make one delivery attempt with a five-second timeout and no retry or ordering guarantee. Treat them as change notifications, not a durable event ledger. For workflows that must complete, use a durable processing system you operate and reconcile its state against the data API.

Take the next step

Inspect the current project contract, try the change with disposable data, and verify the result through the same credentials your app will use. Record the expected response and one denied-access case before release.

Sources and further reading

These references explain the underlying protocols and design principles. For supported MCPBackend operations and exact request shapes, inspect your project’s generated API contract.