Misata
Generates realistic, multi-table synthetic datasets from natural language descriptions, YAML schemas, or existing databases with r
Misata is a Python library and MCP server for generating realistic, multi-table synthetic datasets without real data or machine learning models. It creates relational data with referential integrity across tables using natural language descriptions, YAML schema definitions, or existing database structures. The MCP integration allows AI assistants like Claude and Cursor to generate synthetic data through conversational commands, with support for 18 built-in domain schemas, constraint engines, and multiple export formats.
Source
Repository: https://github.com/rasinmuhammed/misata
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