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qualityThe Model Context Protocol (MCP) server provides a conversational interface for the exploration and analysis of RDF Turtle Knowledge Graph in Local File mode or SPARQL Endpoint.
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3
Python
MIT License
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Why this server?
Enables exploration and analysis of RDF Turtle Knowledge Graphs, which are closely related to ontologies.
Why this server?
Enhances the MCP memory server by implementing PouchDB and enabling the creation and management of a knowledge graph, which utilizes ontological principles.
Why this server?
Helps AI assistants maintain persistent project context through structured markdown files, providing a systematic approach to knowledge organization, a function related to ontology creation.
Why this server?
Allows AI models to query and interact with FalkorDB graph databases, which are used to represent knowledge and relationships in a structured manner similar to ontologies.
Why this server?
An MCP server that enables graph database interactions with Neo4j, allowing users to access and manipulate graph data through natural language commands; graph databases can be used to store and query information structured using ontological principles.