mcp-server-atlassian-confluence and md2confluence-mcp

These tools are complementary: one is a Node.js/TypeScript MCP server providing AI systems access to Confluence content via CQL, while the other is an MCP server specifically designed to upload Markdown, including diagrams and code, to Confluence.

Maintenance 10/25
Adoption 8/25
Maturity 17/25
Community 19/25
Maintenance 10/25
Adoption 5/25
Maturity 20/25
Community 12/25
Stars: 50
Forks: 21
Downloads:
Commits (30d): 0
Language: TypeScript
License:
Stars: 11
Forks: 2
Downloads:
Commits (30d): 0
Language: JavaScript
License: MIT
No License
No risk flags

About mcp-server-atlassian-confluence

aashari/mcp-server-atlassian-confluence

Node.js/TypeScript MCP server for Atlassian Confluence. Provides tools enabling AI systems (LLMs) to list/get spaces & pages (content formatted as Markdown) and search via CQL. Connects AI seamlessly to Confluence knowledge bases using the standard MCP interface.

Connects AI assistants like Claude or Cursor AI directly to your Confluence knowledge base. You can ask natural language questions about your team's documentation and receive instant answers from Confluence spaces and pages. This tool is for anyone who uses Confluence for documentation, such as developers, product managers, HR, and support teams, to streamline their information access.

knowledge-management documentation-search team-collaboration AI-assistants content-management

About md2confluence-mcp

Gyeom/md2confluence-mcp

MCP server to upload Markdown to Confluence. Auto-converts Mermaid diagrams, code blocks, images, and tables.

This tool helps technical writers, project managers, and documentation specialists easily publish their content from Markdown files to Confluence. It takes your well-structured Markdown, including diagrams, code blocks, and images, and automatically converts and uploads it to create or update Confluence pages, ensuring your documentation is always current and accessible. The output is a fully formatted Confluence page, ready for your team to view.

documentation-management technical-writing knowledge-management content-publishing wiki-maintenance

Scores updated daily from GitHub, PyPI, and npm data. How scores work