Data Orlando is a hosted MCP server that exposes tools for discovering datasets in the Orlando Open Data catalog, querying them with Socrata SoQL, and retrieving dataset schemas and metadata. It is intended for developers and AI agents that need structured access to municipal open data.
In the API design, testing & docs space, data-orlando takes a focused approach. It focuses on accessing and querying Orlando open-data datasets programmatically through AI agents. data-orlando is a B2B product aimed at developers and AI agent builders. data-orlando is available on the web and API.
Behind data-orlando is Pipeworx. Among its 6 catalogued features are dataset search, soQL queries, and schema metadata. It exposes integrations via an MCP server and a public API.
Summary written by a language model from the project’s public pages.
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