uriburner-opal-agent-skills

You can query knowledge graphs across local and remote SPARQL endpoints using KG-first workflows that provide multi-endpoint fallback, clickable describe links, and support for both SPARQL and SQL.

KG-first endpoint orchestration coordinates querying across MCP, REST, and OPAL routing to identify KG data across distributed endpoints. You need it when scalable semantic data operations require provenance and multi-endpoint fallback.

Yes, you can use SPARQL and SQL queries together within MCP REST and OPAL routing workflows. The toolkit identifies KG data across endpoints while generating clickable describe links and maintaining provenance across both query languages.

Querying remote SPARQL endpoints adheres to strict quantity and timeout controls enforced by the KG-first toolkit. These constraints prevent overloading endpoints and ensure reliable multi-endpoint fallback during knowledge graph retrieval operations.

Verifying knowledge graph data with agent-annotation flows is supported through commands like /kg-verify when explicitly requested. The toolkit routes these annotations across MCP, REST, and OPAL protocols to validate KG data with provenance.

Multi-endpoint fallback activates when local URIBurner endpoints become unavailable by automatically routing queries to remote endpoints. The KG-first toolkit maintains provenance and clickable describe links across all fallback endpoints during the transition.