A Model Context Protocol (MCP) server for RDF knowledge graph exploration and analysis
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# RDF Explorer v1.0.0 ## Overview A Model Context Protocol (MCP) server that provides conversational interface for the exploration and analysis of RDF (Turtle) based Knowledge Graph in Local File mode or SPARQL Endpoint mode. This server facilitates communication between AI applications (hosts/clients) and RDF data, making graph exploration and analyzing graph data through SPARQL queries. A perfect tool for knowledge graph research and AI data preparation. ## Components ### Tools The server implements SPARQL queries and search functionality: - `execute_on_endpoint` - Execute a SPARQL query directly on an external endpoint - Input: - `endpoint` (str): The SPARQL endpoint URL to query. - `query` (str): The SPARQL query to execute. - `ctx` (Context): The FastMCP context object. - Returns: Query results as a newline-separated string, or an error message. - `sparql_query` - Execute a SPARQL query on the current graph or active external endpoint - Input: - `query` (str): The SPARQL query to execute. - `ctx` (Context): The FastMCP context object. - `use_service` (bool): Whether to use a SERVICE clause for federated queries in local mode (default: True). - Returns: Query results as a newline-separated string, or an error message. - `graph_stats` - Calculate and return statistics about the graph in JSON format - Input: - `ctx` (Context): The FastMCP context object. - Returns: JSON string containing graph statistics (e.g., triple count, unique subjects). - `count_triples` - Count triples in the graph. Disabled in SPARQL Endpoint Mode; use a custom prompt instead. - Input: - `ctx` (Context): The FastMCP context object. - Returns: Number of triples as a string, or an error message. - `full_text_search` - Perform a full-text search on the graph or endpoint, avoiding proprietary syntax. - Input: - `search_term` (str): The term to search for. - `ctx` (Context): The FastMCP contex…
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