# Knowledge Graph > Browse 32 items tagged with Knowledge Graph. ## Items - [Neo4j MCP Servers](https://mcpserver.ever.works/items/neo4j-mcp-servers) — Official graph database integration suite with specialized servers for Cypher queries, knowledge graph memory, Aura management, and data modeling. Enables no-code knowledge graph building and AI agent memory management with Neo4j. - [Knowledge Graph Memory MCP Server](https://mcpserver.ever.works/items/knowledge-graph-memory-mcp-server) — Official Anthropic MCP server implementing persistent memory using local knowledge graph. Stores entities, relations, and observations in memory.json file, enabling AI to remember user information across chats with full privacy control. - [Memory MCP Server](https://mcpserver.ever.works/items/memory-mcp-server) — Knowledge graph-based persistent memory system for MCP. Reference server demonstrating persistent state management. - [Atlassian Confluence MCP Server](https://mcpserver.ever.works/items/atlassian-confluence-mcp-server) — MCP server integrating AI with Confluence Cloud for RAG on team documentation. Enables search, updates, and retrieval from spaces and pages with ADF to Markdown conversion. Suited for enterprise agent knowledge bases. - [ModelContextProtocol Memory MCP Server](https://mcpserver.ever.works/items/modelcontextprotocol-memory-mcp-server) — Persistent memory server for Claude using knowledge graph to maintain context across conversations, storing and updating user information in a database. - [Obsidian MCP Server (StevenStavrakis)](https://mcpserver.ever.works/items/obsidian-mcp-server-stevenstavrakis) — MCP server for Obsidian vaults, enabling AI access for RAG on local Markdown notes. Supports searching linked notes and knowledge graphs in personal vaults. Perfect for agent knowledge bases using Obsidian's graph structure. - [Model Context Protocol Server Memory](https://mcpserver.ever.works/items/model-context-protocol-server-memory) — Persistent memory MCP server using knowledge graph for Claude to maintain context across conversations. Configurable via claude_desktop_config.json with npx command. - [MCP Qdrant Memory](https://mcpserver.ever.works/items/mcp-qdrant-memory) — MCP server providing a knowledge graph implementation with semantic search capabilities powered by Qdrant vector database, enabling AI assistants with persistent, searchable memory. - [Roam Research MCP Server](https://mcpserver.ever.works/items/roam-research-mcp-server) — MCP Server for Roam Research Graph Integration. - [Memento MCP](https://mcpserver.ever.works/items/memento-mcp) — Memento MCP is a knowledge graph memory system for LLMs. It enables persistent memory management using knowledge graphs and databases, ideal for AI agents requiring structured knowledge storage. - [Scaffold](https://mcpserver.ever.works/items/scaffold) — Retrieval-Augmented Generation (RAG) system designed for structural understanding of large codebases. Transforms source code into a living knowledge graph for precise, context-aware interactions beyond simple file retrieval. Suitable for MCP servers enabling advanced code exploration. - [Memory](https://mcpserver.ever.works/items/memory) — Knowledge graph-based persistent memory system MCP server. Demonstrates MCP SDK usage as a reference example. - [codebase-memory-mcp](https://mcpserver.ever.works/items/codebase-memory-mcp) — Fastest code intelligence MCP server that indexes the Linux kernel (28M LOC) in 3 minutes and answers structural queries in under 1ms. Builds a persistent knowledge graph with call chains, HTTP routes, and cross-service links across 66 languages. Offers 120x fewer tokens usage and deploys as a single static binary compatible with 10 coding agents. - [Knowledge Graph Memory Server](https://mcpserver.ever.works/items/knowledge-graph-memory-server) — Persistent memory across chat sessions using knowledge graph structure. Allows agents to remember project context and decisions persistently. - [memora](https://mcpserver.ever.works/items/memora) — Persistent memory with knowledge graph visualization, semantic/hybrid search, cloud sync (S3/R2), and cross-session context management for AI agents. - [memory-nexus-cloud](https://mcpserver.ever.works/items/memory-nexus-cloud) — Cloud-hosted persistent semantic memory for AI agents with semantic search, knowledge graphs, specialist expertise hats, and multi-tenant isolation. Offers a free 7-day trial. - [mengram](https://mcpserver.ever.works/items/mengram) — Human-like memory layer for AI agents with semantic, episodic, procedural memory types. Includes Claude Code hooks for auto-save/recall, cognitive profile, 29 MCP tools, knowledge graph, smart triggers, multi-user isolation. Python & JS SDKs. - [project-tessera](https://mcpserver.ever.works/items/project-tessera) — Local workspace memory for Claude Desktop indexing Markdown, CSV, session logs into vector store with hybrid search, cross-session memory, auto-learn, knowledge graph visualization. Zero external dependencies using fastembed + LanceDB. - [recallnest](https://mcpserver.ever.works/items/recallnest) — Persistent memory MCP server for AI coding agents like Claude Code, Codex, and Gemini CLI. Features hybrid retrieval with vector + BM25, cross-encoder reranking, knowledge graph with PPR traversal, session checkpoint/resume, and multi-scope isolation. Local-first using LanceDB + SQLite with zero external dependencies. - [Basic Memory (basicmachines-co)](https://mcpserver.ever.works/items/basic-memory-basicmachines-co) — A knowledge management system building a persistent semantic graph from AI conversations, storing all knowledge in standard Markdown files for full ownership and integrating with Obsidian. - [Claude Knowledge Graph MCP](https://mcpserver.ever.works/items/claude-knowledge-graph-mcp) — MCP server enabling persistent memory for Claude through a local knowledge graph - a fork focused on local development for improved AI context and memory management. - [Context Portal (ConPort)](https://mcpserver.ever.works/items/context-portal-conport) — Context Portal (ConPort) is a memory bank database system that effectively builds a project-specific knowledge graph, capturing entities like decisions, progress, and architecture, along with their relationships. This serves as a powerful backend for Retrieval Augmented Generation (RAG), enabling AI assistants to access precise, up-to-date project information. - [Graphlit MCP Server](https://mcpserver.ever.works/items/graphlit-mcp-server) — Model Context Protocol Server for the Graphlit Platform, enabling AI assistants to interact with Graphlit's knowledge and data processing capabilities through the MCP standard. - [Knowledge Graph MCP Server](https://mcpserver.ever.works/items/knowledge-graph-mcp-server) — A knowledge graph server that uses the Model Context Protocol to provide structured memory persistence for AI models, enabling persistent knowledge storage across sessions. - [LogSeq MCP Server](https://mcpserver.ever.works/items/logseq-mcp-server) — MCP server to interact with LogSeq via its Local HTTP API. Enables AI assistants like Claude to seamlessly read, write, and manage your LogSeq graph through the Model Context Protocol. - [MCP Knowledge Graph](https://mcpserver.ever.works/items/mcp-knowledge-graph) — MCP server enabling persistent memory for Claude through a local knowledge graph, focusing on local development and structured memory persistence. - [MCP Memory (edobez)](https://mcpserver.ever.works/items/mcp-memory-edobez) — MCP server for enabling memory for Claude through a knowledge graph, providing structured information storage and retrieval. - [MemoryMesh](https://mcpserver.ever.works/items/memorymesh) — A knowledge graph server using MCP to provide structured memory persistence for AI models, enabling LLMs to maintain long-term contextual relationships and structured memory. - [Node-based Notion MCP Server](https://mcpserver.ever.works/items/node-based-notion-mcp-server) — A node-based Notion MCP server providing flexible, graph-like interaction with Notion workspaces through the Model Context Protocol. - [Roam Research MCP](https://mcpserver.ever.works/items/roam-research-mcp) — MCP Server for Roam Research graph integration, enabling AI assistants to interact with Roam Research bidirectional linking knowledge graphs. - [Source Manager MCP Server](https://mcpserver.ever.works/items/source-manager-mcp-server) — A flexible system for managing various types of sources including papers, books, and webpages, with integration to knowledge graphs for enhanced research and information management. - [DuckDB Knowledge Graph Memory MCP](https://mcpserver.ever.works/items/duckdb-knowledge-graph-memory-mcp) — MCP server implementing knowledge graph-based memory using DuckDB as the storage backend. Enables AI agents to store, query, and retrieve structured knowledge with graph relationships for enhanced context and reasoning. --- _Canonical page: https://mcpserver.ever.works/tags/knowledge-graph_