This server connects Claude to Aleatoric's deterministic market simulation engine, letting you generate reproducible synthetic order books, trade events, and funding data directly from prompts. You configure it with an API key from aleatoric.systems and can then request venue-specific datasets like "generate 1 hour of SOL perpetual data with seed 42" in natural language. The engine outputs L2 books and trades as Parquet, JSONL, or streaming data, all stamped with provenance metadata. Same manifest and seed always produce identical output, which makes it useful for regression testing quant strategies, replaying incident conditions, or building audit trails for model validation. It's infrastructure for reproducible scenario testing, not a prediction or signal generation tool.
silenceper/mcp-k8s
azure/containerization-assist
io.github.evozim/aws-builder
reza-gholizade/k8s-mcp-server
flux159/mcp-server-kubernetes