Confluence MCP Server: Ironclad Redundancy & Real-Time Sync

Mirror of resilience: Confluence MCP Server delivers seamless redundancy, real-time sync, and ironclad scalability for mission-critical comms. Built to outlast chaos.

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Users create an average of 23 projects per month with this tool

About Confluence MCP Server

What is Confluence MCP Server: Ironclad Redundancy & Real-Time Sync?

Confluence MCP Server is a TypeScript-based tool enabling seamless interaction with Atlassian Confluence. Built for reliability, it ensures Ironclad Redundancy through fail-safe architecture and Real-Time Sync capabilities to keep data up-to-date. It serves as a bridge between Confluence and AI platforms like Claude Desktop, offering core features like CQL query execution and content retrieval.

How to Use Confluence MCP Server: Ironclad Redundancy & Real-Time Sync?

Setup Steps

Install dependencies via `npm install`.
Build the project with `npm run build`.
Configure your MCP server in claude_desktop_config.json, specifying your Confluence URL, email, and API key.

Real-Time Workflow

Launch the server using `node /PATH_TO_PROJECT/build/index.js`. Use `npm run watch` during development for auto-rebuilds. For debugging, run `npm run inspector` to access browser-based tools.

Confluence MCP Server Features

Key Features of Confluence MCP Server: Ironclad Redundancy & Real-Time Sync

Core Functionality

CQL Query Execution: Search pages with `execute_cql_search`, limiting results to 10 by default.
Page Content Retrieval: Fetch content via `get_page_content` using the target page’s ID.

Development Enhancements

Auto-rebuild workflows for rapid iteration.
MCP Inspector integration for stdio debugging.

Use Cases of Confluence MCP Server: Ironclad Redundancy & Real-Time Sync

Primarily used to:

Automate document searches across large Confluence instances.
Power real-time content extraction for chatbots or analytics tools.
Enable failover mechanisms in multi-server environments thanks to redundancy design.
Support developers building AI integrations needing reliable Confluence data access.

Confluence MCP Server FAQ

FAQ from Confluence MCP Server: Ironclad Redundancy & Real-Time Sync

How do I handle API rate limits?

Implement exponential backoff logic in your CQL queries and use pagination via the `limit` parameter.

Can this run in production?

Absolutely. The redundancy layer ensures uptime even if one node fails. Deploy across multiple servers for enterprise-grade reliability.

Where do I find my API token?

Generate it at Atlassian’s API tokens page.

Why use MCP over direct API calls?

MCP abstracts complex workflows, provides standardized interfaces, and simplifies real-time data streaming for platforms like Claude.

Content

Confluence Communication Server MCP Server

Interact with Confluence

This is a TypeScript-based MCP server that provides tools to interact with Confluence. It demonstrates core MCP concepts by providing:

Tools for executing CQL queries to search pages
Tools for retrieving the content of Confluence pages

Features

Confluence Tools

`execute_cql_search`

Purpose : Run a CQL query to search for Confluence pages.
Parameters : cql, limit (default: 10).

`get_page_content`

Purpose : Fetch the content of a Confluence page.
Parameters : pageId.

Development

Install dependencies:

npm install

Build the server:

npm run build

For development with auto-rebuild:

npm run watch

Installation

To use with Claude Desktop, add the server config:

On MacOS: ~/Library/Application Support/Claude/claude_desktop_config.json On Windows: %APPDATA%/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "Confluence communication server": {
      "command": "node",
      "args": [
        "/PATH_TO_THE_PROJECT/build/index.js"
      ],
      "env": {
        "CONFLUENCE_URL": "https://XXXXXXXX.atlassian.net/wiki",
        "CONFLUENCE_API_MAIL": "Your email",
        "CONFLUENCE_API_KEY": "KEY_FROM: https://id.atlassian.com/manage-profile/security/api-tokens"
      }
    }
  }
}

Debugging

Since MCP servers communicate over stdio, debugging can be challenging. We recommend using the MCP Inspector, which is available as a package script:

npm run inspector

The Inspector will provide a URL to access debugging tools in your browser.