What is Confluence Mcp Server

Confluence-MCP-Server is a FastMCP-based server that allows seamless integration with Confluence’s REST API, providing programmatic access to Confluence spaces, pages, and content search functionalities.

Use cases

Use cases include automating content retrieval from Confluence, managing documentation workflows, executing complex searches across Confluence spaces, and integrating Confluence data into other applications.

How to use

To use Confluence-MCP-Server, install it via Smithery or manually clone the repository, set up a virtual environment, install dependencies, and configure environment variables including your Confluence API token.

Key features

Key features include space management, page operations, search functionality using CQL, space navigation, and secure API token-based authentication.

Where to use

Confluence-MCP-Server can be used in various fields such as software development, project management, and documentation management where Confluence is utilized for collaboration and content management.

Confluence MCP Server

A FastMCP-based server that provides seamless integration with Confluence’s REST API, enabling programmatic access to Confluence spaces, pages, and content search functionality.

Key Features

• Space Management: List and filter Confluence spaces
• Page Operations: Retrieve and manage page content
• Search Functionality: Execute CQL (Confluence Query Language) searches
• Space Navigation: List all pages within specific spaces
• Authentication: Secure API token-based access

System Requirements

• Python 3.8+
• pip (Python package manager)
• Active Confluence instance with API access
• Valid Confluence API token

Installation

Installing via Smithery

To install confluence-mcp-server for Claude Desktop automatically via Smithery:

npx -y @smithery/cli install @MahithChigurupati/confluence-mcp-server --client claude

Manual Installation

1. Clone the Repository

   git clone https://github.com/MahithChigurupati/Confluence-MCP-Server.git
   cd Confluence-MCP-Server
   

2. Set Up Virtual Environment (Recommended)

   python -m venv venv
   source venv/bin/activate  # On macOS/Linux
   # or
   .\venv\Scripts\activate  # On Windows
   

3. Install Dependencies

   pip install -r requirements.txt
   

Configuration

1. Create Environment File

   cp .env.example .env
   

2. Configure Environment Variables

   CONFLUENCE_BASE_URL=https://your-instance.atlassian.net/wiki/rest/api
   [email protected]
   API_TOKEN=your-api-token-here
   

3. Obtain Confluence API Token

   1. Visit Atlassian API Tokens
   2. Click “Create API Token”
   3. Enter a meaningful label (e.g., “MCP Server Access”)
   4. Copy the generated token immediately (it won’t be shown again)

Usage Guide

Starting the Server

python confluence.py

Available API Methods

1. List Spaces

response = await list_spaces(
    query="engineering",  # Optional: Filter spaces by name
    limit=25,            # Optional: Maximum number of spaces to return
    start=0             # Optional: Starting index for pagination
)

2. Get Page Content

response = await get_page_content(
    page_id="123456",   # Required: Confluence page ID
    version=2           # Optional: Specific version number
)

3. Search Content

response = await search_content(
    query="project plan",    # Required: Search query
    space_key="TEAM",       # Optional: Limit search to specific space
    limit=50,               # Optional: Maximum results
    start=0                 # Optional: Starting index
)

4. List Pages in Space

response = await list_pages_in_space(
    space_key="TEAM",       # Required: Space key
    limit=100,             # Optional: Maximum pages to return
    start=0               # Optional: Starting index
)

Integration with MCP Clients

Claude Desktop Configuration

{
  "mcpServers": {
    "confluence": {
      "command": "python path",
      "args": [
        "/path/to/Confluence-MCP-Server/confluence.py"
      ]
    }
  }
}

Location: ~/.claude/claude_desktop_config.json (macOS/Linux) or %USERPROFILE%\.claude\config.json (Windows)

Cursor Configuration

{
  "mcpServers": {
    "confluence": {
      "command": "python path",
      "args": [
        "/path/to/Confluence-MCP-Server/confluence.py"
      ]
    }
  }
}

use which python to find python path

use pwd inside cloned repository to get the path. Don’t forget to add confluence.py in the end.

Location: ~/.cursor/mcp.json (macOS/Linux) or %USERPROFILE%\.cursor\config.json (Windows)

Error Handling

Common error codes and their meanings:

• 401: Invalid API token or credentials
• 403: Insufficient permissions
• 404: Resource not found
• 429: Rate limit exceeded

Troubleshooting

1. Connection Issues

   • Verify CONFLUENCE_BASE_URL format
   • Check network connectivity
   • Confirm API token validity

2. Authentication Errors

   • Ensure USERNAME matches Atlassian account email
   • Verify API_TOKEN is correctly copied
   • Check for special characters in .env file

3. Permission Errors

   • Confirm user has required Confluence permissions
   • Verify space and page access rights

Support

For issues and feature requests, please create an issue in the repository’s issue tracker.

License

MIT License. See LICENSE file for full terms.