Confluence MCP Server
by tqiqbal
A Model Context Protocol (MCP) server for interacting with Confluence Data Center via REST API. This server provides a set of tools that allow AI models to interact with Confluence content.
Last updated: N/A
What is Confluence MCP Server?
The Confluence MCP Server is a tool that allows AI models to interact with Confluence Data Center through its REST API. It acts as a bridge, enabling AI to query, create, update, and delete Confluence pages.
How to use Confluence MCP Server?
To use the server, you need to clone the repository, install the dependencies, configure the .env file with your Confluence credentials, and run the server using the MCP CLI tool in development mode. Alternatively, you can install it in Claude Desktop.
Key features of Confluence MCP Server
Execute CQL searches
Get page content by ID
Create new pages
Update existing pages
Delete pages
Find pages by space key
Find page by title and space key
Use cases of Confluence MCP Server
Automated content creation in Confluence
AI-powered knowledge base management
Intelligent search and retrieval of Confluence content
Integration with AI assistants for Confluence tasks
FAQ from Confluence MCP Server
What is CQL?
What is CQL?
CQL stands for Confluence Query Language, which is used to search for content within Confluence.
How do I configure the server?
How do I configure the server?
You need to create a .env file with your Confluence API base URL, username, and password.
What is the recommended way to run the server?
What is the recommended way to run the server?
The recommended way is to use the MCP CLI tool in development mode, which provides the MCP Inspector UI for testing and debugging.
Can I run the server directly with Python?
Can I run the server directly with Python?
Yes, but it's not the standard way and has limited functionality. It's only intended for basic testing.
How do I install the server in Claude Desktop?
How do I install the server in Claude Desktop?
Use the command mcp install confluence.py.