tqiqbal/mcp-confluence-server

Overview

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.

Best for

Best for
Developers needing to connect AI agents to on-premise Confluence Data Center instances

Use cases

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

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.