Confluence MCP Server

Confluence MCP Server

MCP server for Confluence Cloud that enables searching, reading, managing documentation and linting for best practices.

Category
Visit Server

README

Confluence MCP Server

Model Context Protocol (MCP) server for Confluence Cloud search and management. Enables Claude Code to connect to your Confluence instance for searching, reading, and managing documentation with built-in best-practice linting.

Features

Phase 1: Connection Proof ✅

  • confluence_ping - Test connection and verify authentication
  • confluence_whoami - Get authenticated user information
  • confluence_list_spaces - List accessible Confluence spaces

Phase 2: Read & Search ✅

  • confluence_search - Search using CQL (Confluence Query Language)
  • confluence_get_page_by_title - Find pages by exact title
  • confluence_list_pages - List pages in a space
  • confluence_get_page - Get full page content and metadata
  • confluence_get_page_metadata - Get metadata without body
  • confluence_get_children - Get child pages

Phase 3: Safe Write Operations ✅

  • confluence_create_page - Create new pages (with dry-run)
  • confluence_update_page - Update existing pages (with dry-run)
  • confluence_add_labels - Add labels to pages
  • confluence_remove_labels - Remove labels from pages
  • confluence_archive_page - Archive pages (with dry-run)

All write operations support dryRun: true for previewing changes.

Phase 4: Best Practices ✅

  • confluence_lint_page - Check pages for best practice violations
  • confluence_suggest_improvements - Get actionable improvement suggestions

Checks for:

  • Title conventions (length, formatting, generic terms)
  • Missing metadata (owner, last reviewed date)
  • Content structure (headings, paragraphs, code blocks)
  • Labels (missing or non-standard)
  • Staleness (pages not updated in 6+ months)
  • Excessive nesting depth (4+ levels)

Setup

1. Install Dependencies

cd ~/repos/confluence-mcp-server
npm install

2. Configure Environment

Create a .env file from the template:

cp .env.example .env

Edit .env with your Confluence details:

# Your Confluence Cloud instance
CONFLUENCE_BASE_URL=https://your-domain.atlassian.net

# Your Atlassian account email
CONFLUENCE_EMAIL=your-email@example.com

# API token (generate at https://id.atlassian.com/manage-profile/security/api-tokens)
CONFLUENCE_API_TOKEN=your-api-token-here

# Enable write operations (default: false)
CONFLUENCE_WRITE_ENABLED=false

# Optional: Restrict write operations to specific spaces
# CONFLUENCE_ALLOWED_SPACES=TEAM,DOCS,WIKI

# Optional: Enable audit logging (default: true)
CONFLUENCE_AUDIT_LOG=true

3. Generate Confluence API Token

  1. Go to https://id.atlassian.com/manage-profile/security/api-tokens
  2. Click "Create API token"
  3. Give it a name (e.g., "Claude Code MCP")
  4. Copy the token and paste it into your .env file

4. Add to Claude Code Configuration

Edit ~/.claude.json and add to the global mcpServers section:

{
  "mcpServers": {
    "confluence": {
      "type": "stdio",
      "command": "/Users/joshuamullet/repos/confluence-mcp-server/start-mcp-server.sh",
      "args": [],
      "env": {}
    }
  }
}

Important:

  • Use the ABSOLUTE path to start-mcp-server.sh
  • Add to global mcpServers, NOT inside a project's mcpServers
  • Must include "type": "stdio" field

5. Restart Claude Code

Fully restart Claude Code to load the new MCP server:

# Exit current session
/exit

# Start new session
claude-code

6. Verify Connection

In Claude Code, check that the server is loaded:

/mcp

You should see confluence listed with connection status.

Usage

Connection Test

Test your Confluence connection:

Can you ping the Confluence server and show me the current user?

Claude will call confluence_ping and confluence_whoami to verify connectivity.

Search Examples

Search all spaces:

Search Confluence for pages about "API documentation"

Search specific space:

Search for pages in the TEAM space that contain "deployment"

Advanced CQL:

Search Confluence using this CQL: type=page AND space=DOCS AND lastModified >= "2025-01-01"

Read Examples

Get page by title:

Get the page titled "Getting Started" from the TEAM space

Get page by ID:

Show me the content of Confluence page 123456

List pages:

List all pages in the DOCS space

Get page tree:

Show me all child pages of page 123456

Best Practices Linting

Lint a page:

Lint Confluence page 123456 for best practice issues

Get improvement suggestions:

Suggest improvements for Confluence page 123456

Example output:

{
  "pageId": "123456",
  "pageTitle": "API Documentation",
  "totalFindings": 3,
  "findings": [
    {
      "severity": "warning",
      "category": "metadata",
      "message": "Missing owner or contact information",
      "recommendation": "Add an 'Owner' or 'Contact' section"
    },
    {
      "severity": "info",
      "category": "labels",
      "message": "Page has no labels",
      "recommendation": "Add labels to improve discoverability"
    }
  ]
}

Write Operations (when enabled)

Important: Write operations require CONFLUENCE_WRITE_ENABLED=true in your .env file.

Create a page:

Create a new page in the TEAM space titled "New Feature" with this content:
<h1>Overview</h1>
<p>This is a new feature.</p>

Update a page (dry-run first):

Update page 123456 with a new title "Updated Title" - show me what will change first

Add labels:

Add labels "documentation" and "api" to page 123456

Security

Authentication

  • Uses Confluence Cloud API tokens (not passwords)
  • API tokens are stored in .env (gitignored, never committed)
  • Authentication via HTTP Basic Auth (email + API token)

Write Protection

  • Write operations disabled by default
  • Requires explicit CONFLUENCE_WRITE_ENABLED=true
  • All write operations support dry-run mode
  • Optional space allowlist restricts modifications

Audit Logging

  • All tool calls are logged to stderr
  • Logs include: timestamp, tool name, parameters, success/error
  • Sensitive data (API tokens) never logged
  • View logs: tail -f ~/.claude/logs/*.log

Rate Limiting

  • Automatically detects 429 responses
  • Returns clear error with retry-after information
  • Implements basic retry logic with backoff

Troubleshooting

Server not appearing in /mcp

  1. Check ~/.claude.json configuration:

    • Is the server in the global mcpServers section?
    • Is the path to start-mcp-server.sh absolute and correct?
    • Is "type": "stdio" present?
  2. Check server starts manually:

    cd ~/repos/confluence-mcp-server
    node mcp-server.js
    

    Should output: Confluence MCP Server running on stdio

  3. Check Claude Code logs:

    tail -f ~/.claude/logs/*.log
    

Authentication errors

  • Verify CONFLUENCE_BASE_URL is correct (should be https://your-domain.atlassian.net)
  • Verify CONFLUENCE_EMAIL matches your Atlassian account
  • Regenerate API token if needed
  • Test credentials manually:
    curl -u "your-email:your-token" "https://your-domain.atlassian.net/wiki/rest/api/space"
    

Write operations disabled

  • Check CONFLUENCE_WRITE_ENABLED=true in .env
  • Restart Claude Code after changing .env
  • Verify the setting loaded: server logs show "Write operations: ENABLED"

Missing environment variables

Error: Missing required environment variables

Solution:

  1. Ensure .env file exists in the server directory
  2. Verify all required variables are set
  3. Check dotenv is loading (see server startup logs)

API Reference

Search with CQL

CQL (Confluence Query Language) examples:

type=page AND space=TEAM
type=page AND title~"API"
type=page AND space=DOCS AND lastModified >= "2025-01-01"
type=page AND label="documentation"
creator=currentUser()

See Confluence CQL documentation for more.

Pagination

Most list operations support pagination:

{
  "limit": 25,    // Results per page (max 100)
  "start": 0      // Offset (0 = first page, 25 = second page, etc.)
}

Dry Run Mode

All write operations support dry-run:

{
  "pageId": "123456",
  "title": "New Title",
  "dryRun": true  // Preview changes without applying
}

Returns what would be changed without making actual modifications.

Development

Project Structure

confluence-mcp-server/
├── mcp-server.js              # Main MCP server (loads dotenv first)
├── start-mcp-server.sh        # Shell wrapper for Claude Code
├── tools/
│   ├── confluence-client.js   # Confluence REST API client
│   └── best-practices.js      # Linting and suggestions
├── package.json
├── .env                       # Your credentials (gitignored)
├── .env.example               # Template
├── .gitignore
└── README.md

Testing Manually

Test individual API calls:

cd ~/repos/confluence-mcp-server
node -e "
import('./tools/confluence-client.js').then(async ({ ConfluenceClient }) => {
  const client = new ConfluenceClient(
    process.env.CONFLUENCE_BASE_URL,
    process.env.CONFLUENCE_EMAIL,
    process.env.CONFLUENCE_API_TOKEN
  );
  const result = await client.ping();
  console.log(result);
});
"

Resources

License

ISC

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured