Spring Boot Ai Confluence MCP Server

Spring Boot Ai Confluence MCP Server

This project is an example of a Confluence MCP service built on Spring Boot AI, providing integration with Confluence Cloud, supporting space management, document operations, etc., and can be tested through an MCP client.

Knowledge management and memory Developer tools #Document management #Confluence #Spring Boot #MCP service .Java

rating : 2 points

downloads : 14

update time : 2025-04-28

What is Confluence MCP Server?

This is a server built on Spring Boot AI, specifically designed to integrate with the Confluence Cloud platform. It provides document management functions through the Model Context Protocol (MCP), allowing you to directly operate on the content in Confluence through AI tools.

How to use Confluence MCP Server?

You can connect to this server through any MCP protocol - compatible client (such as the Claude desktop application), and then call the predefined document management functions. There's no need to write code; simply send simple instructions to manage Confluence content.

Use cases

Suitable for teams that need to automate the management of Confluence documents, especially scenarios where you want to combine AI capabilities to create, query, or update knowledge base content.

Main features

Confluence Cloud integrationSeamlessly connect to the Confluence Cloud platform, supporting management operations on spaces, pages, and document history.

Callable toolsExpose various document management functions through the @Tool annotation, such as listing spaces and creating documents.

Automatic tool registrationAutomatically register available service methods with the MCP framework using ToolCallbackProvider.

Client testing supportCompatible with various MCP clients, including the Claude desktop application, facilitating testing and invocation.

Advantages and limitations

Advantages

Simplify the Confluence document management process

Provide a natural - language interaction experience through AI tools

Based on the Spring Boot AI framework, easy to develop and extend

Compatible with mainstream MCP clients, with a low usage threshold

Limitations

Currently only supports Confluence Cloud, not the local version

Requires Confluence administrator privileges to use all functions

Initial configuration requires technical knowledge

How to use

Set up the server

Configure Confluence API credentials and server connection parameters

Start the server

Run the Spring Boot application to start the MCP server

Connect the client

Use an MCP client (such as Claude) to connect to the server address

Call functions

Send instructions through the client to call Confluence management functions

Usage examples

Automatically create meeting minutesAutomatically generate a Confluence page after transcribing a voice meeting through an AI tool

Knowledge base content updateAutomatically update the version information in product documents regularly

Frequently Asked Questions

What permissions are required to use this server?

Which MCP clients are supported?

Can multiple Confluence instances be managed simultaneously?

Related resources

Guide to building an MCP server with Spring Boot AI

Detailed technical implementation guide

Confluence REST API documentation

Official API reference

MCP protocol specification

Official specification of the Model Context Protocol

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