Domo is a business intelligence and data visualization platform that connects to multiple data sources and provides dashboards, reports, and analytics. It enables organizations to monitor KPIs and make data-driven decisions through a cloud-based interface.
10 of 33 checks passed. 14 unscored.
Can an agent find and understand this tool without a web search?
Can an agent create an account and get credentials without human intervention?
Can an agent operate autonomously without upfront payment or contracts?
How well does the API work for non-human consumers?
Does the tool fail gracefully when an agent makes a mistake?
Domo has a REST API with reasonable documentation and OAuth2 support, but lacks an MCP server, llms.txt, or programmatic account creation—account setup requires human intervention through their web interface. The API is moderately agent-friendly with structured JSON responses, though documentation could be more discoverable. Pricing requires contacting sales, making autonomous agent adoption difficult; no free tier or sandbox environment is readily available for experimentation. Reliability appears solid given its enterprise BI focus, but the lack of discoverability tools and friction in setup significantly limit agent-native compatibility.
Install the Agent Native Registry MCP server. Your agents can search, compare, and score tools mid-task.
claude mcp add --transport http agent-native-registry https://agentnativeregistry.com/api/mcp