An open-source time-series database designed for high-performance ingestion and querying of time-series data with millisecond latency. Optimized for financial data, metrics, and event streams.
14 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?
QuestDB has good documentation and an open-source, self-hostable model that aids discovery, but lacks an MCP server or formal OpenAPI spec—agents must rely on PostgreSQL-compatible protocol or REST API. Account creation is programmatically feasible for self-hosted deployments but Cloud requires manual signup. Agent tooling is adequate through SQL/REST but structured response parsing could be more consistent; error messages are basic. The project is stable and well-maintained with reasonable rate limits, though cloud pricing opacity and self-hosting overhead may deter autonomous agent deployments.
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