Dgraph

Knowledge Graph

Enhance natural language interactions by incorporating persistent memory and structured knowledge management using a local graph database, facilitating improved personalization and context retention.

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.

MongoDB

Easily interact with MongoDB databases using everyday language for seamless querying and analysis.

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.

GraphQL

Easily interact with and manage structured data from various GraphQL origins through a dedicated GraphQL interface.

Datomic

Explore Datomic databases effortlessly with this JSON-RPC interface. Conduct schema discovery, execute Datalog queries, and access raw indexes seamlessly for in-depth data analysis, all within the same context.

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.

Memgraph

Facilitates seamless communication between AI virtual assistants and Memgraph database, enabling the execution of Cypher queries, retrieval of schema details, and conducting data analysis using graphs. No need for manual query creation or managing connections.

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.

NebulaGraph

Discover a streamlined server solution for effortless connectivity to NebulaGraph 3.x databases. Unlock insights through graph schema investigation, query processing, and cutting-edge graph operations such as path identification and neighboring node detection.

GraphQL Schema

Facilitates AI model interaction with GraphQL schemas via dedicated tools for querying, type definition lookup, pattern matching, and accessing concise field data.

YDB

Facilitates seamless communication between artificial intelligence systems and YDB databases, allowing for intuitive conversational interactions to run SQL queries, navigate schema details, and check connectivity status.

Neo4j Graph Database

Enable seamless integration between artificial intelligence applications and Neo4j graph databases. Facilitate the execution of Cypher queries, navigation of database structures, and advanced graph analytics such as mapping connections, uncovering paths, and identifying communities within the data.

MongoDB

Enhance your conversational interface by seamlessly connecting with MongoDB databases, allowing for streamlined querying, data insertion, updates, and collection management right within the conversation flow.