5.31 Release Notes - AWS

Release notes for Harbr version 5.31, covering features and fixes for platforms deployed using an AWS data plane.

New Features

MCP Discovery Tools

EARLY ACCESS

Harbr's MCP server now exposes a read-only discovery surface, allowing users and AI agents to search, browse, and inspect products and assets on a user's behalf.

• Search products by free text (eg. product name, summary and product description) using prompts related to what you can do with them or by asset type.

• Open a single product to see the caller's own permissions on it, list its assets, and inspect an asset's schema.

• Only what the signed-in user is actually allowed to see is ever returned — the same organisation rules, product visibility, and plan eligibility that apply everywhere else on the platform are respected here too.

Note: this release covers discovery only (search, browse, inspect) — subscribing, exporting, and sharing via MCP are not yet included.

For user guidance, please see https://docs.harbrdata.com/v6/using-the-harbr-mcp . For operator set-up information, see Configuring the MCP Server.

AI Query

Private Preview

AI Query is a new asset type that allows a producer to provision access to an existing Databricks Genie Agent through the Harbr UI. The functionality currently facilitates question-and-answer with text and table responses only.

• Producers register a Genie Agent they've already built by choosing a Databricks connector, selecting from the Genie Agents that connector can reach, and publish.

• Consumers granted the ‘access’ permission on products, are able to ask questions in natural language via a chat modal that opens in place from the product page and My Collection.

• No credentials are shared, no data is moved onto the platform. Rather, every question is proxied through Harbr using the connector's identity, so no user accesses Databricks directly, and each question is recorded for usage and cost visibility.

• Conversations are persisted inside a session. Old sessions are not saved.

For more information on how to create and consume this new asset type, please see https://docs.harbrdata.com/v6/ai-query .

Improvements

Databricks Connector Setup Checks

Harbr now runs a series of capability checks on Databricks connectors before they can be finalized, checking from two vantage points — from Harbr, and from the processing environment — so a non-functional connector is more likely to be identified during setup rather than discovered later.

For guidance, please see the relevant section within https://docs.harbrdata.com/v6/create-a-connector . For operator information, see Configuring Connector Capability Checks.

Asset Usage Permission Enforcement

This is the second phase of the asset usage permission changes introduced in 5.30.

The previous release updated what was shown in sharing flows and My Collection, by hiding usage options the platform couldn't fulfil for a given asset or plan. Usage permissions can now only be granted for usage types the asset actually supports — enforcing, at grant time, the same restriction that has been surfaced since 5.30.

Other related improvements to this feature include:

• Asset creators automatically keep full usage permissions, including any new usage types added to the platform later.

• An asset creator's own usage permissions can no longer be changed by other users.

• Usage permissions can no longer be granted on an asset before it has been released.

Note: Each of these three rules is controlled independently via ecosystem metadata and is currently set to off by default. Please see Configuring Usage Permission Enforcement for set-up guidance.

Other Improvements

• New connectors list shows full detail parity for every connector type and Connector create/edit now uses a sticky page layout.

• Introduced a scheduled sweep of delta share permissions to ensure accuracy.

• Prevented editing the source database on a connector with 'at source' enabled.

• Databricks connectors now specify their SQL warehouse via a dedicated field, rather than through integration metadata.

• A batch of hardening improvements, including dependency updates and rebuilt images to patch known vulnerabilities, and a fix for an HTML injection issue in the Spaces description field.

• Improvements to platform performance.

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Fixes

• Fixed Jupyter app creation failures caused by a casing mismatch in Athena credentials.

• Fixed bug where IAM Role ARN not showing for some S3 connectors.

• Fixed row-expand control making table rows taller than others.

• BigQuery connectors now return a clear message for a malformed service-account key.

• Fixed asset update failures after a prior partial attempt caused by an SFTP folder-creation issue, and intermittent SFTP connection errors during asset read/pull.

• Fixed intermittent timeouts on the endpoint of data products in Spaces.

• Fixed the Databricks connector silently failing to re-authenticate after its secret was rotated.

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