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v2.31.0

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@github-actions github-actions released this 29 Jun 05:49
f786c37

Features

  • Connect external AI clients (such as Claude Desktop or Cursor) to Devhub through a new MCP server with OAuth authorization, letting an AI assistant run queries, sample tables, browse schema, search saved queries, and review query history and audit logs — all bound by the same per-user permissions, redaction, and approvals as a person.
  • Added a guided onboarding experience for QueryDesk: a welcome prompt and a persistent checklist that walks new users through running their first query, connecting a database, inviting teammates, and setting up approval flows.
  • Added a Connected Apps settings page where you can see the applications you've authorized and revoke their access.
  • You can now share one license (and its seat pool) across multiple installations by generating a link token, so users are only billed once across installs.
  • Query results can now be retained and re-opened later from query history, with a configurable retention period per database.

Improvements

  • You can now invite a brand-new user (and assign them a license) directly from the access screens for users, dashboards, databases, roles, and workflows, instead of having to invite them separately first.
  • Databases now have AI configuration controls: enable or disable AI access, cap the rows an AI query may return, set a result-memory limit, and choose which credentials the AI may use.
  • Database credentials can now have their own query timeout that caps how long any query (or AI query) may run.
  • Data protection rules can now match columns by type (for example, allowlist every boolean column), in addition to matching by name.
  • AI-generated queries are now badged as "AI" in pending queries and the audit log so you can tell them apart from human-run queries.
  • Added a Help menu and a keyboard-shortcuts reference to the navigation.
  • Added clearer empty-state guidance (with documentation links) across QueryDesk pages including dashboards, labels, shared queries, the audit log, the query library, pending queries, and AI chat.