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		<summary type="html">&lt;p&gt;Israel40D2: Created page with &amp;quot;The [https://gitlab.com/revanalex/wikidata-google-knowledge-mcp Wikidata MCP] provides a set of standardized tools that allow large language models (LLMs) to explore and query Wikidata programmatically. It is designed for agentic AI or AI workflows that need to search, inspect, and query Wikidata, without relying on hardcoded assumptions about its structure or content.&amp;lt;br&amp;gt;&amp;lt;br&amp;gt;The Wikidata Query Service requires an understanding of SPARQL’s syntax and Wikidata’s data...&amp;quot;&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;The [https://gitlab.com/revanalex/wikidata-google-knowledge-mcp Wikidata MCP] provides a set of standardized tools that allow large language models (LLMs) to explore and query Wikidata programmatically. It is designed for agentic AI or AI workflows that need to search, inspect, and query Wikidata, without relying on hardcoded assumptions about its structure or content.&amp;lt;br&amp;gt;&amp;lt;br&amp;gt;The Wikidata Query Service requires an understanding of SPARQL’s syntax and Wikidata’s data model. While many LLMs can generate syntactically valid SPARQL queries, they lack an understanding of Wikidata’s schema and the relationships between items within a specific domain. The Wikidata MCP connects LLMs to the Wikidata API and Wikidata Query Service to assist users in their research.&lt;/div&gt;</summary>
		<author><name>Israel40D2</name></author>
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