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    Enables searching Google's Knowledge Graph for real-world entities via two tools: search by query or lookup by Machine ID, returning structured data including entity types, descriptions, and URLs.
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    MIT
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    Structured knowledge for AI agents — Wikipedia, Wikidata, Wiktionary and growing as clean JSON. 1.9M searchable. Free, no auth.
    MIT
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    Enables AI assistants to search, explore, and query any CKAN open data portal through natural language, making public datasets accessible without requiring knowledge of the portal's API.
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    MIT
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    MCP server that exposes skills from the Brazilian National Common Curricular Base (BNCC) with thematic units, knowledge objects, and prioritization layer from Mapa de Foco, enabling lookup, search, listing, and statistics of educational skills.
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    Enables AI agents to search and retrieve academic papers from China National Knowledge Infrastructure (CNKI), supporting various search types including subject, keyword, author, and DOI lookups.
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    Enables federated search across 10 open-knowledge providers via Open Idea. Users can search for papers, code, datasets, models, hardware, and videos using natural language queries.
    MIT
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    Enables natural language access to Denmark's Statistics API (Danmarks Statistik), allowing users to query and analyze Danish statistical data without coding knowledge through AI-powered interactions.
    MIT
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    Provides MCP tools to search, compare, and get recommendations for open-source projects from a structured knowledge graph of GitHub data.
    MIT
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    Connects LLMs to Wikidata's structured knowledge base using a hybrid architecture that optimizes for both fast entity searches and complex relational queries. It provides tools for entity and property retrieval, metadata lookups, and direct SPARQL execution to ground AI responses in verified data.
    2