Adobe Journey Optimizer Content API MCP server
This server does not currently have a deployable release on Glama. Follow the repository's setup instructions to install and configure it for your MCP client, including any required credentials and local dependencies.
Adobe Journey Optimizer Content API MCP server
Recommended workspace layout
my-workspace/
├── config/
│ └── credentials.json
├── docker-compose.yml
└── ajo-content-mcp-server/
├── Dockerfile
└── ...Place the exported Adobe environment JSON at config/credentials.json and create a small config/settings.json for the sandbox name. Mount ./config into the container.
Dedicated settings file
Create config/settings.json like this:
{
"sandboxName": "dev"
}The container reads this file by default from /app/config/settings.json and uses it to populate AJO_SANDBOX_NAME.
You can override the path with:
AJO_SETTINGS_FILE=/custom/path/settings.jsonBehavior
At startup, the container:
Looks for
/app/config/settings.jsonand loads the sandbox name.Looks for
/app/config/credentials.jsonand loads the Adobe credentials.Converts those JSON files into generated env files.
Sources the generated env files.
Starts the MCP server.
You can override the JSON path with:
AJO_CREDENTIALS_FILE=/custom/path/credentials.jsonThe example JSON file you shared contains keys such as CLIENT_SECRET, API_KEY, ACCESS_TOKEN, SCOPES, TECHNICAL_ACCOUNT_ID, IMS, and IMS_ORG. The loader maps those into the internal AJO_* variables used by the app. fileciteturn0file0
Build
docker build -t ajo-content-api-mcp-server .Run
docker run --rm -it \
-v "$(pwd)/config:/app/config:ro" \
ajo-content-api-mcp-serverDocker Compose
services:
ajo-content-mcp:
build: .
image: ajo-content-api-mcp-server
volumes:
- ./config:/app/config:roWith this layout, credentials.json and settings.json both live under the same mounted folder.
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