One of the most robust conclusions from the study of the successful use of climate knowledge is the need for frequent iteration between the producers and consumers of climate information. For the climate information to be salient in policy and planning, the specific context of the application is often critical. Therefore, there is a scaling problem; namely, how can a relatively small community of scientist data providers scale to meet the demand of a very large community of climate data users. This talk advocates that one of the approaches of meeting this scaling challenge and reducing the technical barriers to use of climate information is through community-based development of translational tools. These tools need to be focused on interfaces between communities, developed as services, with adherence to the standards of the communities acting at the interfaces. Specific examples are given of emerging efforts with attention to strategies to encourage the evolution of more vigorous and effective participation in community tool building.