0DTE Confluence vs MCP Server Atlassian… | AllMCPs
Side-by-Side Model Context Protocol Comparison
0DTE Confluence vs MCP Server Atlassian Confluence
In-depth architectural comparison of the 0DTE Confluence and MCP Server Atlassian Confluence MCP servers. Compare execution transports, security boundaries, tool capabilities, quality scores, and ready-to-paste client installation snippets for Claude, Cursor, Windsurf, and VS Code.
At a Glance & Executive Verdict
0DTE Confluence
Workplace & Productivity · Remote HTTP/SSE
Quality: 30/100 (Emerging) | Auth: No auth required
MCP Server Atlassian Confluence
Workplace & Productivity · Local stdio
Quality: 63/100 (Good) | Auth: API Key required
Verdict Summary: Choose 0DTE Confluence if you need specialized Workplace & Productivity tools running via a hosted cloud SSE transport. Choose MCP Server Atlassian Confluence if your workspace requires Workplace & Productivity integration with local subprocess execution. Both servers can be configured concurrently in your client's mcpServers manifest.
Which MCP Server Should You Choose?
0
Choose 0DTE Confluence when:
You need dedicated capabilities in the Workplace & Productivity domain.
You prefer remote streaming HTTP/SSE transport architecture.
Your security boundary fits: No auth required (Free / Open Source).
Gamma rails, options flow tape, and graded 0DTE setups for SPY/QQQ/IWM. Advisory only.
Atlassian Confluence Cloud integration. Enables AI systems to interact with Confluence spaces, pages, and content with automatic ADF to Markdown conversion.
No explicit tool names declared in metadata yet. Check project README on main listing page.
MCP Server Atlassian Confluence Tools (5)
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/
conf_post
Create Confluence resources. Returns TOON format by default (token-efficient).
**IMPORTANT - Cost Optimization:**
- Use `jq` param to extract only needed fields from response (e.g., `jq: "{id: id, title: title}"`)
- Unfiltered responses include all metadata and are expensive!
**Output format:** TOON (default) or JSON (`outputFormat: "json"`)
**Common operations:**
1. **Create page:** `/wiki/api/v2/pages`
body: `{"spaceId": "123456", "status": "current", "title": "Page Title", "parentId": "789", "body": {"representation": "storage", "value": "<p>Content</p>"}}`
2. **Create blog post:** `/wiki/api/v2/blogposts`
body: `{"spaceId": "123456", "status": "current", "title": "Blog Title", "body": {"representation": "storage", "value": "<p>Content</p>"}}`
3. **Add label:** `/wiki/api/v2/pages/{id}/labels` - body: `{"name": "label-name"}`
4. **Add comment:** `/wiki/api/v2/pages/{id}/footer-comments`
API reference: https://developer.atlassian.com/cloud/confluence/rest/v2/
Ready-to-Paste Client Configurations
Paste either (or both) of these JSON server blocks into your client config file (e.g. claude_desktop_config.json or ~/.cursor/mcp.json).
0DTE Confluence is categorized under Workplace & Productivity and uses a remote streaming HTTP/SSE transport. In contrast, MCP Server Atlassian Confluence belongs to Workplace & Productivity using local stdio subprocess. Select 0DTE Confluence when you need capabilities focused on workplace & productivity and MCP Server Atlassian Confluence when you require tools for workplace & productivity.