# atlassian-confluence

Connects AI coding assistants to Confluence spaces to search docs, read attachments, and draft pages. Generated from the OpenAPI specification with automated tool testing.

- MCP server · `type=mcp` · Claude Code, Codex, Cursor, GitHub Copilot, Windsurf (Devin Desktop), Cline, Zed, Gemini CLI · ★ 32
- Author: mcparmory
- License: not stated · policy=link-only · description only; the file stays with the author
- Source: https://github.com/mcparmory/registry
- Updated: 2026-05-12
- HTML: https://affpapa.org/en/nevibecode/mcp/atlassian-confluence

## What it does

This MCP server exposes Atlassian Confluence API endpoints to AI assistants. It allows your agent to look up team documentation, update existing wiki pages, and upload attachments. Requests pass Pydantic validation before leaving your machine.

Execution requires Python 3.11+ alongside `uvx`. Built on FastMCP, the standalone package `mcparmory-atlassian-confluence` handles network resilience with retries and exponential backoff. It supports authentication via Bearer tokens, API keys, or Basic auth.

The server will fail immediately without valid Atlassian credentials in your environment. You can also turn on response sanitization to filter out sensitive corporate fields.

## Requirements
- Needs: Python and uv (commands run via uvx)
- Works with: Confluence, Atlassian

## Install

### Claude Code (native platform)

**Platform CLI**
```bash
claude mcp add atlassian-confluence -- uvx mcparmory-atlassian-confluence
```
uvx runs the command named after the package; if the README names another one, use uvx --from mcparmory-atlassian-confluence <command>

### Codex

**Platform CLI**
```bash
codex mcp add atlassian-confluence -- uvx mcparmory-atlassian-confluence
```
uvx runs the command named after the package; if the README names another one, use uvx --from mcparmory-atlassian-confluence <command>

### Cursor

**Config file**
File `.cursor/mcp.json`:
```json
{
    "mcpServers": {
        "atlassian-confluence": {
            "command": "uvx",
            "args": [
                "mcparmory-atlassian-confluence"
            ]
        }
    }
}
```
uvx runs the command named after the package; if the README names another one, use uvx --from mcparmory-atlassian-confluence <command>

### GitHub Copilot

**Config file**
File `.vscode/mcp.json`:
```json
{
    "servers": {
        "atlassian-confluence": {
            "type": "stdio",
            "command": "uvx",
            "args": [
                "mcparmory-atlassian-confluence"
            ]
        }
    }
}
```
uvx runs the command named after the package; if the README names another one, use uvx --from mcparmory-atlassian-confluence <command>

### Gemini CLI

**Platform CLI**
```bash
gemini mcp add atlassian-confluence uvx mcparmory-atlassian-confluence
```
uvx runs the command named after the package; if the README names another one, use uvx --from mcparmory-atlassian-confluence <command>

## When to use it
- search internal documentation across Confluence spaces
- publish generated project documentation to wiki pages
- attach logs and architectural files to articles
- update outdated Confluence content directly from the editor

## Example prompts
- Search our Confluence workspace for backend deployment guidelines
- Draft a new Confluence page in the DEV space with our API schema
- Find and inspect the latest attachment on the release notes page

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