tqiqbal/mcp-confluence-server

Overview

Connects your AI assistant to a self-hosted Confluence Data Center instance so it can search and read documentation, useful for teams whose knowledge base lives on-premise rather than in Confluence Cloud. Ask it to find a page or pull content into a conversation instead of searching Confluence yourself. A niche fit given it only works with Data Center, not Cloud.

Best for

Best for
Teams on self-hosted Confluence Data Center who want faster access to documentation

Use cases

• Search Confluence Data Center for a specific page or answer
• Pull documentation content into a conversation for reference
• Prototype AI-assisted access to an on-premise knowledge base

How to use

Install

pip install -r requirements.txt

Tools exposed

• mcp

Tested with

Claude Desktop

Example client config

CONFLUENCE_API_BASE=http://localhost:8090/rest/api\nCONFLUENCE_USERNAME=your_username\nCONFLUENCE_PASSWORD=your_password

Notes

A Python-based Model Context Protocol (MCP) server that enables AI agents to interact with Confluence Data Center via its REST API. It exposes Confluence resources as MCP tools for programmatic access.

3 stars on GitHub. Last updated 2025-07-09.

Use cases

• Retrieving Confluence pages and content for AI context
• Searching Confluence spaces and documents programmatically
• Integrating Confluence data into MCP-compatible AI workflows

Pros

• Open source and Python-based, easy to extend or modify
• Follows the MCP standard for interoperability with AI agents
• Targets Confluence Data Center, suitable for on-premise deployments

Cons

• Limited to Confluence Data Center, not compatible with Confluence Cloud
• Low community adoption (3 stars) suggests minimal support and documentation
• Single-developer project may have slower updates and fewer features

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.