# Knowledge Graph MCP Server

> Use this tool when you need to manage complex networks of interconnected data, such as entities and their relationships, and track changes over time. It solves problems related to data consistency, concurrency, and querying structured information, providing a robust interface for creating, searching, and storing knowledge graphs with JSON file output. Ideal for applications requiring scalable and persistent data management, such as data integration, recommendation systems, or AI model training.

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

## Description

A TypeScript MCP server for managing persistent knowledge graphs with entities, directional relations, and time-based observations. It enables users to create, search, and track structured information with built-in concurrency control and JSON file storage.

## Trust

- **Trust score (0–1):** 0.95
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-19

## Source

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

## 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": "yuchoe-knowledge-graph-mcp-server"
    }
  }
}
```

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