Confluence
A server based on FastMCP that provides seamless integration with the Confluence REST API, supporting programmatic access to spaces, pages, and content search functions.
rating : 2 points
downloads : 11
What is the Confluence MCP Server?
The Confluence MCP Server is a tool that can seamlessly connect to Confluence via REST API, allowing you to easily manage and access spaces, pages in Confluence, and perform advanced searches.How to use the Confluence MCP Server?
You can start using it in just a few steps, including installation, configuring environment variables, and starting the server. Then, you can use the provided API interfaces for operations.Applicable scenarios
Suitable for enterprise users who need to automate the management of Confluence content, such as IT departments, product managers, or technical support teams.Main features
Space managementList and filter Confluence spaces with specific names.
Page operationsGet and manage the content of a specific version of a page.
Search functionalityPerform complex searches through CQL (Confluence Query Language).
Security authenticationUse API tokens to achieve secure programmatic access.
Advantages and limitations
Advantages
Simplify the management of Confluence content
Support large-scale data processing
Improve work efficiency
Limitations
Require a certain technical background
May encounter network latency issues
How to use
Clone the repository and set up a virtual environment
Clone the project code locally and create a Python virtual environment.
Install dependencies
Ensure that all necessary Python packages are installed.
Configure environment variables
Edit the.env file to add necessary configuration information.
Start the server
Run the script to start the Confluence MCP Server.
Usage examples
Example 1: List engineering spacesDemonstrate how to quickly find the Confluence space named "Engineering".
Example 2: Search for project plansSearch for pages related to project plans in a specific space.
Frequently Asked Questions
How to obtain an API token?
What if you encounter a permission error?
Does it support multi - language content search?
Related resources
Official documentation
Detailed user guides and technical documentation.
GitHub repository
Source code and contribution guidelines.
Video tutorial
Quick start tutorial.
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