MCP server for authoring, analyzing, debugging, and running Snowfakery recipes
MCP server for authoring, analyzing, debugging, and running Snowfakery recipes. Exposed over MCP by the snowfakery mcp server, that capability becomes something an assistant can invoke while it works, not something you go and do afterwards.
Snowfakery is a YAML-based tool for programmatically generating test data. This MCP server connects Snowfakery to AI assistants, letting you:
Setup follows the usual MCP pattern — install or clone the server, register it in your client's configuration file, restart the client. The configuration blocks on this page cover the common clients.
This sits in the knowledge and memory group, where several servers overlap in what they claim to do but differ sharply once you actually set them up. It is maintained by composable-delivery; worth a glance at recent repository activity before you build anything load-bearing on it.
We check each listing at SyncDev against the project's documentation before it goes live — if something here drifts out of date, it is a bug worth reporting.
{
"mcpServers": {
"snowfakery-mcp": {
"command": "snowfakery-mcp"
}
}
}Configuration as documented by the project. Restart the client after saving.
A knowledge graph your assistant keeps between sessions — entities, relations and observations that persist.
Kill hallucinated APIs — version-accurate, up-to-date library documentation injected straight into context.
Your workspace, on speaking terms with AI — search, read and write Notion pages and databases.
A structured scratchpad for hard problems — stepwise reasoning with revisions, branches and visible logic.
Symbol-level code navigation, refactoring and memory for coding agents — the IDE brain your assistant has been missing.
Chat with your second brain — search, read and write vault notes through the Local REST API.