confluence-mcp
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A Go-based Model Context Protocol (MCP) server for integrating AI assistants with Atlassian Confluence.
Confluence MCP
A Go-based Model Context Protocol (MCP) server for integrating AI assistants with Atlassian Confluence. This tool provides a seamless interface for interacting with the Confluence API through the standardized MCP, enabling AI models to search, retrieve, create, and update Confluence content.
Features
- Search Confluence pages and spaces
- Get page details and content
- Create new pages and spaces
- Update existing pages
- Manage page permissions and metadata
- Get page comments
- List spaces
Installation
There are several ways to install the Confluence MCP:
Option 1: Download from GitHub Releases
- Visit the GitHub Releases page
- Download the binary for your platform:
confluence-mcp_linux_amd64for Linuxconfluence-mcp_darwin_amd64for macOSconfluence-mcp_windows_amd64.exefor Windows
- Make the binary executable (Linux/macOS):
chmod +x confluence-mcp_* - Move it to your PATH (Linux/macOS):
sudo mv confluence-mcp_* /usr/local/bin/confluence-mcp
Option 2: Go install
go install github.com/nguyenvanduocit/confluence-mcp@latest
Option 3: Docker
Using Docker directly
-
Pull the pre-built image from GitHub Container Registry:
docker pull ghcr.io/nguyenvanduocit/confluence-mcp:latest -
Or build the Docker image locally:
docker build -t confluence-mcp .
Configuration
Environment Variables
The following environment variables are required for authentication:
ATLASSIAN_HOST=your_confluence_host
ATLASSIAN_EMAIL=your_email
ATLASSIAN_TOKEN=your_token
You can set these directly in environment variables or through a .env file for local development.
Transport Methods
The Confluence MCP supports two transport methods:
1. Standard I/O (stdio) - Default
This is the default transport method used by most MCP clients like Claude Desktop and Cursor.
2. Streamable HTTP Server
For HTTP-based integrations, you can run the server with HTTP transport using the --http_port flag.
Usage Examples
With Claude Desktop / Cursor (stdio transport)
Add to your MCP configuration file:
{
"mcpServers": {
"confluence": {
"command": "/path/to/confluence-mcp",
"args": ["-env", "/path/to/.env"]
}
}
}
With Docker (stdio transport)
{
"mcpServers": {
"confluence": {
"command": "docker",
"args": [
"run",
"--rm",
"-i",
"-e", "ATLASSIAN_HOST=your_confluence_instance.atlassian.net",
"-e", "ATLASSIAN_EMAIL=your_email@example.com",
"-e", "ATLASSIAN_TOKEN=your_atlassian_api_token",
"ghcr.io/nguyenvanduocit/confluence-mcp:latest"
]
}
}
}
With HTTP Transport
For HTTP-based integrations, run the server with:
confluence-mcp --http_port 8080 --env .env
This will start the server at http://localhost:8080/mcp
Or with Docker:
docker run -p 8080:8080 \
-e ATLASSIAN_HOST=your_confluence_instance.atlassian.net \
-e ATLASSIAN_EMAIL=your_email@example.com \
-e ATLASSIAN_TOKEN=your_atlassian_api_token \
ghcr.io/nguyenvanduocit/confluence-mcp:latest \
--http_port 8080
Available Tools
search_page- Search pages in Confluence using CQLget_page- Get Confluence page content and metadatacreate_page- Create new Confluence pagesupdate_page- Update existing Confluence pagesget_comments- Get comments from a Confluence pagelist_spaces- List Confluence spaces
Contributing
- Fork the repository
- Create your feature branch (
git checkout -b feature/amazing-feature) - Commit your changes (
git commit -m 'Add some amazing feature') - Push to the branch (
git push origin feature/amazing-feature) - Open a Pull Request
License
This project is licensed under the MIT License - see the LICENSE file for details.
