This Confluence Cloud MCP Server provides a standardized interface for AI assistants to interact with Confluence Cloud, enabling management of spaces, pages, and content through the Model Context Protocol (MCP).
The simplest way to use the server is with the pre-built Docker image:
docker run --rm -i \
-e CONFLUENCE_API_TOKEN=your-api-token \
-e [email protected] \
-e CONFLUENCE_DOMAIN=your-domain.atlassian.net \
ghcr.io/aaronsb/confluence-cloud-mcp:latest
You can also build the server locally:
git clone https://github.com/aaronsb/confluence-cloud-mcp.git
cd confluence-cloud-mcp
# Build the Docker image
./scripts/build-local.sh
# Run the server
CONFLUENCE_API_TOKEN=your-token CONFLUENCE_EMAIL=your-email ./scripts/run-local.sh
If you prefer to run directly from source:
npm install
.env
file:CONFLUENCE_DOMAIN=your-domain.atlassian.net
[email protected]
CONFLUENCE_API_TOKEN=your-api-token
npm run build
node build/index.js
Add the server to your MCP-compatible AI assistant's configuration:
{
"mcpServers": {
"confluence": {
"command": "docker",
"args": ["run", "--rm", "-i", "ghcr.io/aaronsb/confluence-cloud-mcp:latest"],
"env": {
"CONFLUENCE_DOMAIN": "your-domain.atlassian.net",
"CONFLUENCE_EMAIL": "[email protected]",
"CONFLUENCE_API_TOKEN": "your-api-token"
},
"disabled": false,
"autoApprove": []
}
}
}
The get_confluence_page
tool automatically converts Confluence's storage format to Markdown, handling:
This makes page content more accessible and easier to work with in AI interactions.
To add this MCP server to Claude Code, run this command in your terminal:
claude mcp add-json "confluence" '{"command":"docker","args":["run","--rm","-i","ghcr.io/aaronsb/confluence-cloud-mcp:latest"],"env":{"CONFLUENCE_DOMAIN":"your-domain.atlassian.net","CONFLUENCE_EMAIL":"[email protected]","CONFLUENCE_API_TOKEN":"your-api-token"},"disabled":false,"autoApprove":[]}'
See the official Claude Code MCP documentation for more details.
There are two ways to add an MCP server to Cursor. The most common way is to add the server globally in the ~/.cursor/mcp.json
file so that it is available in all of your projects.
If you only need the server in a single project, you can add it to the project instead by creating or adding it to the .cursor/mcp.json
file.
To add a global MCP server go to Cursor Settings > Tools & Integrations and click "New MCP Server".
When you click that button the ~/.cursor/mcp.json
file will be opened and you can add your server like this:
{
"mcpServers": {
"confluence": {
"command": "docker",
"args": [
"run",
"--rm",
"-i",
"ghcr.io/aaronsb/confluence-cloud-mcp:latest"
],
"env": {
"CONFLUENCE_DOMAIN": "your-domain.atlassian.net",
"CONFLUENCE_EMAIL": "[email protected]",
"CONFLUENCE_API_TOKEN": "your-api-token"
},
"disabled": false,
"autoApprove": []
}
}
}
To add an MCP server to a project you can create a new .cursor/mcp.json
file or add it to the existing one. This will look exactly the same as the global MCP server example above.
Once the server is installed, you might need to head back to Settings > MCP and click the refresh button.
The Cursor agent will then be able to see the available tools the added MCP server has available and will call them when it needs to.
You can also explicitly ask the agent to use the tool by mentioning the tool name and describing what the function does.
To add this MCP server to Claude Desktop:
1. Find your configuration file:
~/Library/Application Support/Claude/claude_desktop_config.json
%APPDATA%\Claude\claude_desktop_config.json
~/.config/Claude/claude_desktop_config.json
2. Add this to your configuration file:
{
"mcpServers": {
"confluence": {
"command": "docker",
"args": [
"run",
"--rm",
"-i",
"ghcr.io/aaronsb/confluence-cloud-mcp:latest"
],
"env": {
"CONFLUENCE_DOMAIN": "your-domain.atlassian.net",
"CONFLUENCE_EMAIL": "[email protected]",
"CONFLUENCE_API_TOKEN": "your-api-token"
},
"disabled": false,
"autoApprove": []
}
}
}
3. Restart Claude Desktop for the changes to take effect