Iurykrieger Claude Bedrock Claude Bedrock

Confluence Fetcher

Internal module — invoked by /bedrock:learn Phase 1 and /bedrock:sync Phase 2, not user-invocable.

Fetches a Confluence page and returns its content as Markdown. Three layers in fallback order: MCP (preferred) → REST API → Browser DOM extraction.

Dependency: Browser fallback (Layer 3) requires scripts/extract.js (relative to this skill directory).

Step 1 — Parse URL

Parse the Confluence URL. Accept these formats:

• https://<domain>.atlassian.net/wiki/spaces/<spaceKey>/pages/<pageId>/<title>
• https://<domain>.atlassian.net/wiki/spaces/<spaceKey>/pages/<pageId>
• https://<domain>.atlassian.net/wiki/x/<shortlink>
• https://<domain>.atlassian.net/wiki/pages/viewpage.action?pageId=<pageId>

Extract:

• Base URL: https://<domain>.atlassian.net (everything before /wiki/...)
• Page ID: the numeric ID from the URL path (segment after /pages/) or pageId query parameter
• Full URL: the original URL as provided (needed for browser fallback)

Step 2 — Layer 1: MCP (Atlassian)

The preferred layer. Uses the plugin:atlassian:atlassian MCP server if installed and authenticated.

2.1 Check MCP availability

Use ToolSearch to check if Atlassian MCP tools are available:

ToolSearch(query: "atlassian confluence page", max_results: 5)

Evaluate the result:

• MCP tools found and functional (tools other than authenticate and complete_authentication are available) → proceed to 2.2 Fetch via MCP
• Only authenticate / complete_authentication tools found (MCP installed but not authenticated) → proceed to 2.3 Guide authentication
• No Atlassian MCP tools found → log and fall through:

MCP not available: No Atlassian MCP server installed. Install the Atlassian MCP plugin for Claude Code to enable direct Confluence access. Falling back to API (Layer 2).

2.2 Fetch via MCP

Use the Atlassian MCP tools to fetch the page content. The specific tool depends on what the MCP exposes after authentication (typically a page read or content retrieval tool).

Call the MCP tool passing the page ID or URL. The MCP returns the page content directly.

• Success → convert content to Markdown if not already, proceed to Output Contract
• Error → log the error and fall through to Layer 2:

MCP fetch failed: {error message}. Falling back to API (Layer 2).

2.3 Guide authentication

If the MCP is installed but not authenticated, guide the user:

MCP not authenticated: The Atlassian MCP server is installed but requires authentication. Run mcp__plugin_atlassian_atlassian__authenticate to start the OAuth flow, then complete it in your browser. After authentication, Confluence pages can be fetched directly via MCP.

Ask the user: "Would you like to authenticate the Atlassian MCP now, or skip to API fallback (Layer 2)?"

• User wants to authenticate → invoke mcp__plugin_atlassian_atlassian__authenticate, wait for the user to complete the OAuth flow, then retry 2.2 Fetch via MCP
• User declines → log "User declined MCP authentication, falling to Layer 2" → continue to Step 3

Step 3 — Layer 2: API (REST)

Uses the Confluence REST API with Basic Auth (API token + email).

3.1 Check credentials

echo "CONFLUENCE_API_TOKEN: ${CONFLUENCE_API_TOKEN:+set}" && echo "CONFLUENCE_USER_EMAIL: ${CONFLUENCE_USER_EMAIL:+set}"

• Both set → proceed to 3.2 Compute auth header
• Either missing → guide and fall through:

API not available: CONFLUENCE_API_TOKEN or CONFLUENCE_USER_EMAIL environment variable is not set. Generate an API token at https://id.atlassian.com/manage-profile/security/api-tokens and export both variables: export CONFLUENCE_API_TOKEN="your-token" and export CONFLUENCE_USER_EMAIL="your-email". Falling back to Browser extraction (Layer 3).

3.2 Compute Basic Auth header

echo -n "${CONFLUENCE_USER_EMAIL}:${CONFLUENCE_API_TOKEN}" | base64

3.3 Fetch the page

Use WebFetch:

WebFetch(
  url: "{baseUrl}/wiki/api/v2/pages/{pageId}?body-format=storage",
  headers: {
    "Authorization": "Basic {base64_value}",
    "Accept": "application/json"
  }
)

If WebFetch cannot send the Authorization header, fall back to curl via Bash:

curl -sL -H "Authorization: Basic {base64_value}" -H "Accept: application/json" \
  "{baseUrl}/wiki/api/v2/pages/{pageId}?body-format=storage"

3.4 Extract content from response

The API returns JSON with:

• title — page title
• body.storage.value — XHTML content (Confluence storage format)

3.5 Convert XHTML to Markdown

Convert the storage format XHTML to Markdown using these rules:

3.6 Error handling

API authentication failed: API returned 401. The token may be expired or invalid. Regenerate your token at https://id.atlassian.com/manage-profile/security/api-tokens. Falling back to Browser extraction (Layer 3).

API access denied: API returned 403. The user does not have access to this page. Verify page permissions in Confluence.

Page not found: API returned 404. The page ID may be incorrect. Verify the URL: {original_url}.

Step 4 — Layer 3: Browser (Claude in Chrome)

Last resort. Opens the page in Chrome and extracts content via DOM scraping.

4.1 Load Chrome tools

Via ToolSearch:

select:mcp__claude-in-chrome__tabs_context_mcp,mcp__claude-in-chrome__tabs_create_mcp
select:mcp__claude-in-chrome__navigate
select:mcp__claude-in-chrome__javascript_tool

If Chrome MCP tools are not available, abort:

Browser not available: Claude in Chrome MCP is not installed or not running. Install the Claude in Chrome extension and ensure it is connected. No further fallback layers available — cannot fetch this Confluence page.

4.2 Get browser context

mcp__claude-in-chrome__tabs_context_mcp(createIfEmpty: true)

4.3 Navigate to the page

mcp__claude-in-chrome__tabs_create_mcp()
mcp__claude-in-chrome__navigate(url: "<full confluence URL>", tabId: <id>)

4.4 Execute extraction script

Read scripts/extract.js from this skill's directory using the Read tool. Then execute it:

mcp__claude-in-chrome__javascript_tool(
  action: "javascript_exec",
  text: <contents of extract.js>,
  tabId: <id>
)

The script returns JSON:

{
  "status": "ready",
  "totalLength": 52969,
  "totalChunks": 6,
  "chunkSize": 10000,
  "title": "Page Title",
  "instructions": "Run window.__confluence.chunk(0), window.__confluence.chunk(1), etc."
}

If the script returns an error field: handle accordingly (login page, empty content, wrong page).

4.5 Read chunks

For each chunk from 0 to totalChunks - 1:

mcp__claude-in-chrome__javascript_tool(
  action: "javascript_exec",
  text: "window.__confluence.chunk(N)",
  tabId: <id>
)

Concatenate all chunks into a single Markdown string.

4.6 Validate

Check that the result is not empty and not a login page. If validation fails:

Browser extraction failed: Could not extract content from the page. Ensure you are logged into Confluence in Chrome and the page has loaded. No further fallback layers available — cannot fetch this Confluence page.

Output Contract

Return to the caller (/bedrock:learn or /bedrock:sync):

• Markdown content: the full page content as Markdown
• Page title: extracted from MCP response, API response (title field), or browser extraction (title in JSON)
• Layer used: MCP, API, or Browser

The caller is responsible for saving the content to its target location.

Hard Rules

Troubleshooting

Source: iurykrieger/claude-bedrock — distributed by TomeVault.