Content
# 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
1. Visit the [GitHub Releases](https://github.com/nguyenvanduocit/confluence-mcp/releases) page
2. Download the binary for your platform:
- `confluence-mcp_linux_amd64` for Linux
- `confluence-mcp_darwin_amd64` for macOS
- `confluence-mcp_windows_amd64.exe` for Windows
3. Make the binary executable (Linux/macOS):
```bash
chmod +x confluence-mcp_*
```
4. Move it to your PATH (Linux/macOS):
```bash
sudo mv confluence-mcp_* /usr/local/bin/confluence-mcp
```
### Option 2: Go install
```bash
go install github.com/nguyenvanduocit/confluence-mcp@latest
```
### Option 3: Docker
#### Using Docker directly
1. Pull the pre-built image from GitHub Container Registry:
```bash
docker pull ghcr.io/nguyenvanduocit/confluence-mcp:latest
```
2. Or build the Docker image locally:
```bash
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:
```json
{
"mcpServers": {
"confluence": {
"command": "/path/to/confluence-mcp",
"args": ["-env", "/path/to/.env"]
}
}
}
```
### With Docker (stdio transport)
```json
{
"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:
```bash
confluence-mcp --http_port 8080 --env .env
```
This will start the server at `http://localhost:8080/mcp`
Or with Docker:
```bash
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 CQL
- `get_page` - Get Confluence page content and metadata
- `create_page` - Create new Confluence pages
- `update_page` - Update existing Confluence pages
- `get_comments` - Get comments from a Confluence page
- `list_spaces` - List Confluence spaces
## Contributing
1. Fork the repository
2. Create your feature branch (`git checkout -b feature/amazing-feature`)
3. Commit your changes (`git commit -m 'Add some amazing feature'`)
4. Push to the branch (`git push origin feature/amazing-feature`)
5. Open a Pull Request
## License
This project is licensed under the MIT License - see the LICENSE file for details.
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