An advanced MCP server providing RAG-enabled memory through a knowledge graph with vector search capabilities, enabling intelligent information storage, semantic retrieval, and document processing.
An MCP server that enables AI agents to generate, search, and reason over knowledge graphs from code, databases, docs, and open-data portals without requiring an LLM or API key.
An MCP server that implements a heavily typed knowledge graph memory system with AI-powered entity and relation extraction, enabling structured knowledge storage and retrieval from unstructured text using predefined or custom ontologies.
A universal MCP server providing persistent, structured memory through a knowledge graph with graph storage, semantic vector search, and multi-hop traversal for AI agents and IDEs.
MCP server that connects AI agents to a shared organizational knowledge base, allowing them to query company-specific context like pricing, team, and strategy.