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Connect AI to any SPARQL endpoint for querying and updating RDF data.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "mcp-server-sparql" yet — see the docs or source repo.
Connect to this SPARQL endpoint and write a SPARQL 1.1 query to find broader concepts, narrower concepts, and related entities for 'artificial intelligence', then organize the results into a table by category.
Provides an executable SPARQL query and a table of entities grouped by relationship type.
Generate a SPARQL UPDATE statement for the target triple store to add placeholder English labels for all resources that have Chinese labels but no English labels, and explain how to verify before and after execution.
Returns the update statement, applicability notes, and sample verification queries for before and after execution.
Help me inspect the schema information of this SPARQL endpoint: common classes, properties, namespaces, and the resource types with the most instances, then summarize it in a concise report.
Outputs a set of inspection queries and a brief analysis report on the data structure and coverage.
Query and manage Microsoft SQL Server databases with natural language.
Provides Spark query plans and catalog data for optimization and discovery.
Query Wikidata with SPARQL to retrieve structured facts and entity relationships.
Securely connect AI assistants to SQL Server for queries, analysis, and admin tasks.
Let AI agents query, search, and manage MarkLogic 12 databases.
Connect to MySQL with natural language for schema exploration and SQL queries.