Conduit Integration Service

Example Use Cases

• 1

  Search, read, or create Jira issues across multiple Atlassian sites and manage sprints programmatically.

• 2

  Retrieve Confluence page hierarchies, fetch cleaned page content for LLM consumption, or create/update pages with embedded images using markdown.

• 3

  A reliable file-backed workflow for multi-line markdown content conversion and safe submission to enterprise collaboration platforms.

Description

Conduit is a Python integration framework exposing Jira and Confluence functionality to CLI users and MCP-compatible AI tools (e.g., Cursor, Claude Desktop). It provides multi-site support, markdown-to-platform conversion, file-based content handling for reliable rich-text operations, and Confluence image attachment/embed support. The MCP integration is experimental and focuses on core read/write operations (issue search/create/update, page read/create/update, sprint management) while the CLI exposes additional features. Benefits include consistent formatting, safer multi-line content handling, and easier AI-driven automation of knowledge and collaboration workflows.