---
id: markdown-to-confluence
version: "0.6.2"
license: MIT
license_treatment: permissive
maintenance: active
---

# markdown-to-confluence — Publish Markdown files to Confluence wiki

License: permissive · Maintenance: active · Downloads: 1.8M/mo

## What it is and what it does

This package automates the tedious task of replicating Markdown documentation from version control systems into Confluence wiki. It parses Markdown, converts it to Confluence Storage Format (XHTML), and uploads the result via Confluence REST API v2, including images as attachments. The tool handles a broad range of Markdown features—sections, text formatting, links, lists, code blocks, tables, footnotes, and admonitions—plus optional rendering of draw.io, Mermaid, and PlantUML diagrams into images before upload.

Configuration is straightforward: set Confluence domain, API token, space key, and username either as environment variables or runtime arguments. The package uses HTTP Basic authentication or scoped API tokens. It requires Python 3.10 or later and has ten runtime dependencies (markdown, lxml, requests, orjson, pyyaml, cattrs, pymdown-extensions, pathspec, truststore, typing-extensions). Optional features like diagram rendering require external tools (Java, Graphviz, draw.io, mermaid-cli, PlantUML, or Matplotlib), but the core Markdown-to-Confluence conversion works without them.

Use it for:

- Automatically sync project README and documentation from GitHub/GitLab to Confluence during CI/CD pipelines
- Batch-publish multiple Markdown files to Confluence spaces without manual copy-paste
- Keep Confluence documentation in sync with version-controlled Markdown sources to prevent drift
- Convert Markdown diagrams (Mermaid, PlantUML, draw.io) to images and embed them in Confluence pages
- Publish technical specifications written in Markdown to company wikis accessible to non-VCS users

## Worth the install?

AI-flagged interpretation of the facts above — verify before relying.

Converts Markdown files to Confluence Storage Format and publishes them to Confluence wiki via REST API, handling text formatting, images, code blocks, diagrams, and tables.

Yes. The package is actively maintained, has no known vulnerabilities, uses a permissive MIT license, and solves a real problem—automating Markdown-to-Confluence publishing. Install friction is low. The broad feature set (tables, code blocks, diagrams, admonitions) covers most documentation needs. Optional diagram rendering requires external tools but doesn't block basic use. Suitable for teams needing to bridge Markdown and Confluence workflows.

## Install

pip install markdown-to-confluence
uv add markdown-to-confluence
poetry add markdown-to-confluence

## Installing markdown-to-confluence

Before you install: Low install friction with a pure-Python wheel distribution. Active maintenance with a recent release (18 days old) and steady repository activity. Ten runtime dependencies are all established packages, though optional features like diagram rendering require external tools (draw.io, mermaid-cli, PlantUML, Java, Graphviz).

License in practice: MIT license permits free use, modification, and distribution with minimal restrictions—suitable for both personal and commercial projects.

Quickstart:

pip install markdown-to-confluence

from markdown_to_confluence import publish_markdown

publish_markdown(
    domain='example.atlassian.net',
    space_key='SPACE',
    api_token='your_token',
    markdown_file='README.md'
)

Requires Confluence API token and valid domain/space credentials. Optional diagram rendering features (draw.io, Mermaid, PlantUML) need external command-line tools and Java installed separately.

Verify before relying:

- Whether the package handles concurrent uploads or batch operations efficiently
- Performance characteristics when publishing large Markdown files or many images
- Extent of Markdown dialect support beyond standard CommonMark

## Package facts

- License: MIT (permissive)
- Python support: supports_current
- Install friction: low
- Maintenance: active
- Downloads: 1.8M/month (top 5,000 on PyPI)
- Known vulnerabilities: none known

## Tags

markdown to confluence converter, publish markdown to confluence, confluence wiki automation, markdown confluence sync, confluence content uploader, md2conf tool, confluence api markdown, documentation-automation, confluence-integration, markdown-conversion

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