4 docs tagged with "MCP"

A repeatable agent pattern — ontology first, query spec second, constrained execution, and failure recovery when labels or fields are wrong.

A practical workflow for exploring a RushDB project you did not design — using ontology tools, label listing, and progressive query refinement before building reliable retrieval.

Go beyond installation — learn the operator workflow for grounded, hallucination-resistant agent queries with the RushDB MCP server.

End-to-end guide — connect RushDB to OpenClaw, install the RushDB skills pack, and let your AI assistant query, store, and model structured data without writing a single line of code.