# Knowledge Graph Memory Server

> Use this tool when you need to store and manage complex relationships between entities, or maintain long-term context for AI models. It solves problems of data fragmentation and limited context by providing a searchable and organized knowledge graph. The server accepts entity, relationship, and observation inputs and outputs structured data for AI model consumption, ideal for use cases requiring persistent and queryable memory.

Canonical page: https://skillsregistry.net/skills/deanacus-knowledge-graph-mcp  
JSON: https://api.skillsregistry.net/v1/skills/deanacus-knowledge-graph-mcp

## Description

A persistent memory server that implements a local knowledge graph using the Kuzu embedded database to store entities, relationships, and observations. It enables AI models to maintain structured long-term context through searchable nodes and comprehensive tag-based organization.

## Trust

- **Trust score (0–1):** 0.52
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-02

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/hg0byd6dmz)
- **Repository:** <https://github.com/deanacus/knowledge-graph-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "deanacus-knowledge-graph-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/deanacus-knowledge-graph-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/deanacus-knowledge-graph-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt