An MCP server that enables AI-powered exploration of RDF data and SPARQL querying via RDF4J. It provides tools for executing queries, searching knowledge graph resources, and retrieving schema summaries.
An MCP server that enables graph database interactions with Neo4j, allowing users to access and manipulate graph data through natural language commands.
An MCP server that enables LLMs to perform semantic and fulltext searches within Neo4j while executing complex, search-augmented Cypher queries for GraphRAG applications. It provides tools for database schema discovery and supports multi-provider embeddings to facilitate advanced graph traversals.
An MCP server that connects AI assistants to a Neo4j graph database, enabling querying of movie data through tools like graph statistics, genre-based search, and movie details, along with advanced features such as LLM sampling and completions.
An MCP server that bridges AI assistants with SQL databases, enabling natural language querying across multiple database types with built-in optimization and security.
A graph database MCP server that lets AI assistants build, analyze, and visualize relationship graphs with algorithms like PageRank and cycle detection.