RDF Explorer

Neo4j

Unlock the potential of Neo4j graph databases with this innovative Model Context Protocol (MCP). Seamlessly interact with and leverage the power of Cypher queries, manage knowledge graph data, and craft durable memory structures using intuitive conversational interfaces.

Rails Explorer

Discover a cutting-edge tool that empowers AI algorithms to dive into Rails projects effectively. With capabilities for navigating files, inspecting routes, analyzing models, and fetching database schemas from various applications, this protocol revolutionizes AI exploration in the realm of web development.

Ragie

Enhances connectivity with Ragie's knowledge repository system for streamlined retrieval and extraction of data from extensive datasets, optimizing search and information access.

GraphRAG

Enhance your document search experience with a potent combination of Neo4j graph database and Qdrant vector database. Uncover semantic connections and expand structural context by seamlessly following relationships.

RAG Docs

Enhances information retrieval through semantic search functionality and a vector database (Qdrant), facilitating streamlined access to extensive document repositories.

RAG Documentation

Experience advanced knowledge access with seamless integration of Qdrant vector search and documentation retrieval in Model Context Protocol (MCP). Unlock context-aware responses and enable semantic querying for a richer user experience.

Neo4j

Unlock the power of Neo4j graph databases with seamless integration, allowing intuitive natural language searches, creation of nodes, and execution of intricate graph tasks. Ideal for delving into knowledge discovery and crafting data relationships with ease.

FalkorDB

Unleash the power of conversational search on graph databases through the transformation of inquiries into FalkorDB commands. Ideal for exploring relationships within knowledge graphs, recommendation engines, and network datasets.

Qdrant Knowledge Graph

Enhance your applications with seamless integration of a knowledge graph and advanced semantic search features. Streamline the storage, retrieval, and querying processes for structured data, enabling context-aware functionalities.

RagRabbit

Unlocks the power of RagRabbit integration for website crawling, vector embedding generation, and facilitating domain-specific information retrieval through advanced search and question answering capabilities.

Apache Jena SPARQL

Facilitates seamless interaction between artificial intelligence agents and Apache Jena, enabling the execution of SPARQL queries, handling updates, and retrieving RDF data from Jena Fuseki servers using robust API key security measures.

Raphtory GraphQL Schema Explorer

Enhance AI system capabilities to navigate and comprehend graph patterns within Raphtory databases using GraphQL schema inquiries, analyzing property connections, and retrieving in-depth information to optimize query formulation.

SPARQL

Enhance your RDF data exploration with seamless integration to SPARQL servers through the Model Context Protocol (MCP). Unlock a world of possibilities for querying, manipulating, and analyzing linked data, empowering your semantic web endeavors and knowledge graph investigations.

GraphDB

Discover and interact with RDF graphs stored in Ontotext GraphDB repositories using the Model Context Protocol (MCP). Gain valuable insights through SPARQL queries and organized displays showcasing class lists, predicates, statistics, and example datasets.

PostgreSQL Explorer

Discover seamless PostgreSQL database interaction using advanced tools for schema navigation, table examination, relationship mapping, and executing SQL queries, all designed to enhance natural language engagement.