Confluence Example MCP Server

A Spring Boot AI-powered Model Context Protocol Server for interacting with Confluence Cloud. That is what the confluence example mcp server brings to an AI assistant: the same capability, reachable through the Model Context Protocol rather than a separate app or dashboard.

The short version

This repository contains the complete source code for our Confluence MCP Server example built with Spring Boot AI. The server integrates with Confluence Cloud and exposes various document management operations as callable tools using the @Tool annotation. You can test this server with any MCP client, including the Claude desktop app.

• Confluence Cloud Integration: — Connects to Confluence Cloud to manage spaces, pages, and document history
• Callable Tools: — Exposes operations like listing spaces and creating documents using the @Tool annotation
• Tool Registration: — Uses ToolCallbackProvider to register the available service methods with the MCP framework
• Testable with MCP Clients: — Easily test the server using any MCP client, including the Claude desktop app

Getting it running

Setup follows the usual MCP pattern — install or clone the server, register it in your client's configuration file, restart the client.

How it compares

Among the developer tooling options, the useful question is rarely "what can it do" but "what does it cost you to run" — permissions, credentials, and how much of your context its toolset consumes. It is maintained by BootcampToProd; worth a glance at recent repository activity before you build anything load-bearing on it.

This entry was verified against Confluence Example's own documentation before publication; SyncDev keeps the directory reviewed rather than auto-generated.

Things to watch

• It runs with your machine's permissions. That is convenient and also the reason to think about what you point it at before you approve a tool call.
• Keep per-call confirmation enabled while you learn its behaviour; it is the cheapest safeguard you have.