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Enable AI to query knowledge graphs via SPARQL and return structured results.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "io.github.daedalus/mcp-sparql" MCP server from askskill: Run: claude mcp add 'io-github-daedalus-mcp-sparql' -- npx -y mcp-sparql
Use SPARQL to query a knowledge graph for Alan Turing's birthplace, occupations, and main research areas, then return the results in a table.
Executed SPARQL query results organized into a clear table by field.
Write and run a SPARQL query to find items in the dataset published after 2020 and related to climate change, returning title, publication date, and link.
A list of matching records with key fields and source links.
The following SPARQL query does not return the expected results. Please inspect the issue, fix the query, rerun it, and explain the changes.
A corrected query, its execution results, and a brief explanation of the original issue.
Let AI query semantic data through SPARQL endpoints with caching and flexible outputs.
Adds nodes, edges, and semantic retrieval to agent knowledge graphs.
Query Wikipedia-derived structured data for entity lookup and knowledge analysis.
Query and retrieve data across GitHub, Neo4j, PostgreSQL, and Milvus.
Query a cultural heritage SPARQL endpoint with ontology guidance and validation.
Query and explore Neo4j graph databases with natural language and Cypher.