Which integrations are available for this server?

Crawls Confluence page trees, follows internal and external links, and caches pages as Markdown. Provides tools for searching, retrieving, listing, and refreshing cached Confluence pages. Integrates with Slack through the nanobot framework, allowing users to search and retrieve Confluence content directly from Slack.

How do I use confluence-mini-mcp?

1. Click on "Install Server". 2. Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state. 3. In the chat, type @ followed by the MCP server name and your instructions, e.g., "@confluence-mini-mcp search for latest engineering updates" That's it! The server will respond to your query, and you can continue using it as needed. Here is a step-by-step guide with screenshots.

confluence-mini-mcp

by bonkey

Overview Schema Related Servers Score Discussions

Python

Remote

confluence-mini-mcp

Lightweight MCP server that crawls Confluence subtrees and serves cached Markdown. Works with Claude Code and nanobot (Slack) via stdio.

Claude Code config

{
  "mcpServers": {
    "confluence-docs": {
      "command": "uvx",
      "args": ["--from", "git+https://github.com/bonkey/confluence-mini-mcp", "confluence-mini-mcp"],
      "env": {
        "CONFLUENCE_BASE_URL": "https://company.atlassian.net/wiki",
        "CONFLUENCE_EMAIL": "you@company.com",
        "CONFLUENCE_API_TOKEN": "...",
        "CONFLUENCE_ROOT_PAGE_IDS": "123456,789012"
      }
    }
  }
}

Pin to a tag: "--from", "git+https://github.com/bonkey/confluence-mini-mcp@v0.1.1"

Related MCP server: confluence-mcp-server

Nanobot config

[mcp.confluence]
command = "uvx"
args = ["--from", "git+https://github.com/bonkey/confluence-mini-mcp", "confluence-mini-mcp"]
env = { CONFLUENCE_BASE_URL = "https://company.atlassian.net/wiki", CONFLUENCE_EMAIL = "you@company.com", CONFLUENCE_API_TOKEN = "...", CONFLUENCE_ROOT_PAGE_IDS = "123456,789012" }

Tools

Tool	Description
`search_pages`	Keyword search across cached pages (title 10x weight)
`get_page`	Full Markdown content by page ID (Confluence or external)
`list_pages`	Index of all cached pages (optional space_key filter)
`refresh_cache`	Force re-crawl, bypass TTL

Crawling

The crawler walks a graph, not just a tree:

Child pages — standard parent → children traversal
Linked Confluence pages — any internal link in page content is followed (enables a single "hub page" linking to multiple subtrees)
External HTTP links — fetched as Markdown (1 level deep, follows redirects only)

In-page directives

Add a [confluence-mcp] block anywhere on a Confluence page to control crawl behaviour for that subtree:

[confluence-mcp]
max_depth=3
follow_links=false
follow_external=true

Directive	Default	Description
`max_depth`	(global config)	Override crawl depth from this page down
`follow_links`	`true`	Follow linked Confluence pages in content
`follow_external`	`true`	Fetch external HTTP links in content

The directive block is stripped from the Markdown output — agents never see it.

Configuration

All settings via env vars or confluence-mini-mcp.toml:

Env var	Description	Default
`CONFLUENCE_BASE_URL`	Wiki base URL	required
`CONFLUENCE_EMAIL`	Atlassian email	required
`CONFLUENCE_API_TOKEN`	API token	required
`CONFLUENCE_ROOT_PAGE_IDS`	Comma-separated root page IDs	required
`CONFLUENCE_CACHE_DIR`	Cache directory	`~/.cache/confluence-subtree-mcp`
`CONFLUENCE_CACHE_TTL_MINUTES`	Cache max age	`30`
`CONFLUENCE_MAX_DEPTH`	Max crawl depth	`10`
`CONFLUENCE_MAX_PAGES`	Max pages to crawl	`500`
`CONFLUENCE_REFRESH_INTERVAL`	Background refresh interval (0=off)	`5`
`CONFLUENCE_DRY_RUN`	Fake cache mode, no API calls	`false`

Development

just dev     # run in dry-run mode
just check   # format + test
just release # tag + push

All tasks in the Justfile. Requires uv and just.

This server cannot be installed

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maintenance

How are these scores calculated?

Maintenance

–Maintainers

–Response time

–Release cycle

–Releases (12mo)

Commit activity

Resources

GitHub Repository

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