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Jira & Confluence

Jira and Confluence integration for operational access and scalable knowledge search

The Jira & Confluence integration gives assistants direct access to tickets, project context, and knowledge pages from meinGPT.

Platform capabilities

Depending on setup, the connector can support:

  • searching and reading Jira issues
  • retrieving issue details and status information
  • searching Confluence pages and reading content
  • using Atlassian project knowledge directly in assistants

Two operating modes

1. Native connector (user-level permissions)

Tool calls run in user context, so Jira/Confluence permissions remain in effect.

  • access is limited to what the authenticated user can see
  • ideal for day-to-day operational use cases
  • strong security alignment with existing role models

For larger knowledge estates, you can ingest Jira/Confluence content into a data pool (for example via Data Vault source sync) and search it at scale.

  • better for broad enterprise search across large datasets
  • optimized for scalable retrieval and RAG usage
  • important: native user-level permissions do not carry over automatically

Recommendation

  • use native connectors for permission-sensitive operational scenarios
  • use data pools for high-scale knowledge retrieval and RAG
  • combine both patterns per use case

Google Workspace

The Google Workspace integration allows you to access Gmail and Google Calendar directly from meinGPT to read emails and manage calendar entries.

Overview

Overview of connectors in meinGPT

On this page

Platform capabilitiesTwo operating modes1. Native connector (user-level permissions)2. Data pool for large-scale searchRecommendationRelated