Changelogs

Follow up on the latest improvements and updates.

Release notes

April 2026 lets you comment on a catalog object without leaving Blink, and remembers the view you picked as you move between modules.

From conversation to action: AI-powered collaboration in Blink

We delivered a new AI-powered chatbot capability that allows users to leave comments on an object while interacting with Blink. It saves time and improves communication through clearer, AI-assisted language.

This is a major step toward embedding AI across the platform: operating within the chatbot while enabling collaboration and catalog updates beyond it.

Unified navigation experience

We've introduced persistence for the user's selected view (List, Grid or Data Map). This preference is now retained across modules, ensuring a consistent experience when navigating the application.

Additionally, visual styling has been enhanced to clearly indicate the currently active view, improving usability and reducing ambiguity.

The Marketplace module is excluded from this behavior, as it relies on a dedicated Gallery view.

In the current interface, the display mode menu offers Detail View, List View and Datamap View.

Release notes

June 2026 opens the MCP Server up to writing: an AI agent can now enrich and maintain catalog objects directly. The News widget on your Workspace Home also gets much bigger and refreshes on its own.

Update catalog objects via the MCP Server

The MCP Server now supports updating objects in the catalog.

Using an AI agent, you can automatically enrich and maintain catalog objects by:

  • generating or updating descriptions;
  • assigning tags and statuses;
  • setting owners and stewards;
  • populating custom attributes.

Updates can be based on user instructions, information from related catalog objects, or analysis performed by the agent.

This capability is currently available by request. To enable it for your environment, please contact your Account Manager.

News widget update: bigger, bolder, instant

We've rolled out three improvements to the News widget on your Workspace Home:

  • A much bigger news block: the widget is now around ten times larger, so you can see far more updates at a glance instead of scrolling through them one at a time.
  • A more visible image zone: article images now stand out clearly, making each post easier to spot and more engaging to read.
  • No more refreshing: when you create a new article, it appears in the widget right away. The old "refresh the page to see your post" step is gone.

Head to your Workspace Home to check it out.

Release notes

May 2026 consolidates six separate MCP search tools into a single entry point, search_objects, which combines free-text search and structured filters in one request.

MCP Server update: simplified search experience

We've released an update to the MCP server that simplifies how search works by consolidating multiple search tools into a single, unified entry point: search_objects.

What changed

The following tools have been merged into search_objects:

  • search_by_object_name
  • search_by_entity_type
  • search_by_description
  • search_by_creation_time
  • search_by_modification_time
  • search_by_module_name

Why we made this change

This update is part of our ongoing effort to simplify the MCP API design and improve how LLM-based clients interact with the platform.

Benefits include:

  • Fewer entry points to manage
  • Simpler integration logic
  • Better support for combining filters in a single query
  • Improved reliability for AI-assisted search workflows

For example, clients can now search by both entity_type and module_name within the same request.

Welcome to the new unified tool: search_objects

search_objects supports free-text search across:

  • object name
  • description
  • summary
  • synonyms

It also supports structured filters for:

  • entity type
  • module name
  • creation date
  • last modification date

Read more

Release notes

July 2026 gives DataGalaxy a refreshed interface, and lets Blink and the MCP Server page through the full set of search results instead of returning only a sample.

A clearer, smoother interface

DataGalaxy has been revamped with a simpler, more consistent design. Visual cues are sharper, key actions are more prominent, and navigation feels more natural. Catalog and Portfolio are being visually aligned to provide a more unified experience.

Search beyond the sample results

When searching for objects, Blink and the MCP Server no longer return only a sample of the matching results. They now support pagination, allowing AI agents and users to retrieve the next matching objects as needed.

This enables the model to explore the full set of results, leading to more complete and accurate answers for broad or ambiguous searches.

This capability is now available in both Blink and the MCP Server.

Release notes

August 2026 is a big month for the DataGalaxy MCP Server: clearer field information, an explicit search scope, a slimmer toolset and a steadier Semantic Search. The Power BI extension also matches reports to your catalog on its own, and rich text formatting now survives an export and re-import.

MCP Server: Semantic Search updates

Changed

  • No more automatic query rephrasing. semantic_search previously generated two extra phrasings behind the scenes on every call, adding a hidden model call and extra latency. It no longer does this. For better recall, submit a few phrasings yourself (a synonym, or the spelled-out versus abbreviated form of a term) rather than relying on the server to vary your query.
  • Clearer signal when a workspace isn't indexed. Instead of silently returning zero results, semantic_search now tells you when indexing hasn't happened. If none of your accessible workspaces are indexed, the call returns an explicit error. If only some aren't, and your search comes back empty, the response now names which workspaces were skipped, so an empty page is never mistaken for "nothing matches".

Fixed

  • One bad record no longer breaks the whole call. A malformed record in the search index used to fail the entire request. Now that record is skipped and the rest of your results still come back.
  • Steadier performance under load. Result enrichment now runs with bounded concurrency, reducing slow or inconsistent responses when the catalog service is busy.

Automated matching between Power BI reports and your catalog

No more searching for the right catalog object every time you open a Power BI report. The DataGalaxy extension now automatically detects and surfaces the matching object for you, when possible.

  • Exact match? The corresponding catalog object opens directly in the extension.
  • Multiple matches? A list of search results appears so you can quickly pick the right one.
  • Want to compare? Click the target icon to pin an object in place and browse other reports without losing it.

A short banner walks you through the feature: dismiss it once, or turn it off.

Screenshot: Power BI report matching in the extension. (Re-add this image here — the original Freshdesk link expires after a few days.)

DataGalaxy MCP Server: product update

We've shipped a set of updates to the DataGalaxy MCP server focused on clearer field information, more reliable search and updates, and a cleaner overall toolset.

New

  • get_object_attributes: see exactly what fields a catalog object supports: whether each is editable and, for fields with a fixed set of options, exactly which values are valid. Previously there was no way to distinguish "this field is empty" from "this object doesn't have this field". That gap is now closed.
  • get_object now supports field coverage: pass an optional flag and get_object also returns which fields the object supports and which are currently empty, the same information as get_object_attributes, folded into your existing object lookups. It is off by default, so nothing changes unless you ask for it.

Changed

  • update_object now takes a single flat list of fields to change, for example {"status": "Validated", "Business Domain": "Finance"}, using the same field names get_object shows you, whether the field is standard or custom. This replaces the old split between standard and custom field formats.
Action required: any integration calling update_object directly needs to be updated to this new format.
  • Search scope is now explicit: search_objects and semantic_search take workspace_id and version_id parameters instead of relying on connection-level settings. Omit both to search across every workspace you have access to in a single call.
  • search_objects no longer accepts included_attributes: this parameter's valid values varied by workspace and were undiscoverable, making mistakes easy and hard to debug. Search now returns a fixed, documented set of fields; use get_object or get_object_attributes when you need more.
  • Four legacy tools retired: get_object_details, get_ancestors, get_linked_objects and get_object_fields are gone, replaced by get_object (full object overview) and get_object_relations (paging through links, children, fields or ancestors). get_object_tags is also retired: tag information is now included in get_object.
  • natural_language_search removed: it translated free-form questions into search filters with a limited vocabulary, silently falling back to unfiltered, low-precision search for anything outside it. search_objects and semantic_search are the more reliable path forward.

Fixed

  • Updates to fields not actually available on a given object could silently "succeed" without saving anything. This is now caught before the update is sent, with a clear error naming the fields that are actually available.
  • Viewing an object's full parent hierarchy could wrongly report "not found" for anything other than a top-level object.
  • Object type labels are now consistent across all tools, fixing inconsistencies that could affect how category or child-item information was displayed.
  • Internal error messages no longer leak through: you always get a clean, generic error instead.
  • Large result pages are now summarized accurately, so reported counts always match what is actually shown.
For Blink users: since Blink is also built on this MCP server, these changes, combined with earlier fixes, carry over directly to Blink, improving the accuracy and reliability of its answers as well.

Rich text formatting now preserved on export and import

Previously, exporting text fields with rich content (bold, italics, lists, links, etc.) converted everything to plain text, so formatting was lost as soon as you re-imported the CSV.

That's now fixed. Text fields with rich formatting export as HTML, so all formatting is preserved when the file is re-imported into the catalog. You can now export, edit externally and re-import without losing your work.

Rich text support in the API is coming next.

Please check with your account manager regarding the rollout plan.