Omni Dev vs MCP Server Atlassian Confluence

Jira and Confluence MCP connectivity

Bidirectional Markdown and ADF conversion

Schema validation during conversion

Detection of unsupported ADF-only structures

Protection against silent content loss

conf_get

Read any Confluence data. Returns TOON format by default (30-60% fewer tokens than JSON). **IMPORTANT - Cost Optimization:** - ALWAYS use `jq` param to filter response fields. Unfiltered responses are very expensive! - Use `limit` query param to restrict result count (e.g., `limit: "5"`) - If unsure about available fields, first fetch ONE item with `limit: "1"` and NO jq filter to explore the schema, then use jq in subsequent calls **Schema Discovery Pattern:** 1. First call: `path: "/wiki/api/v2/spaces", queryParams: {"limit": "1"}` (no jq) - explore available fields 2. Then use: `jq: "results[*].{id: id, key: key, name: name}"` - extract only what you need **Output format:** TOON (default, token-efficient) or JSON (`outputFormat: "json"`) **Common paths:** - `/wiki/api/v2/spaces` - list spaces - `/wiki/api/v2/pages` - list pages (use `space-id` query param) - `/wiki/api/v2/pages/{id}` - get page details - `/wiki/api/v2/pages/{id}/body` - get page body (`body-format`: storage, atlas_doc_format, view) - `/wiki/rest/api/search` - search content (`cql` query param) **JQ examples:** `results[*].id`, `results[0]`, `results[*].{id: id, title: title}` API reference: https://developer.atlassian.com/cloud/confluence/rest/v2/