# io.github.zcsabbagh/knowledge-graph-mcp

> Use this tool when you need to enhance student learning with personalized spaced repetition and mastery tracking. It solves problems of knowledge retention and recall by creating a tailored learning experience, and accepts inputs such as learning materials and student performance data to output optimized learning plans. Ideal for educational contexts where adaptive learning and assessment are crucial.

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

## Description

Knowledge graph MCP for student learning with spaced repetition and mastery tracking

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** unverified

## Facts

- **Version:** 0.1.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-04-17

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.zcsabbagh%2Fknowledge-graph-mcp)
- **Repository:** <https://github.com/zcsabbagh/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": "io-github-zcsabbagh-knowledge-graph-mcp"
    }
  }
}
```

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