# io.github.cunicopia-dev/knowledge-graph-rdbms

> io.github.cunicopia-dev/knowledge-graph-rdbms — cunicopia-dev-knowledge-graph-rdbms. Use this tool when you need to manage complex relationships between entities with a transparent and reversible history. It solves problems of data integration, auditing, and versioning by providing a lightweight, embedded knowledge graph with a RESTful interface for reading and writing data. Ideal for applications requiring data lineage and reproducibility, such as AI, IoT, or scientific research.

Canonical page: https://skillsregistry.net/skills/cunicopia-dev-knowledge-graph-rdbms  
JSON: https://api.skillsregistry.net/v1/skills/cunicopia-dev-knowledge-graph-rdbms

## Description

An embedded knowledge graph in one SQLite file, exposing a MCP server for agents to read and write entities and relationships with full audit trail and time travel.

## Trust

- **Trust score (0–1):** 0.44
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/p42l9rvnji)
- **Repository:** <https://github.com/cunicopia-dev/knowledge-graph-rdbms>

## 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": "cunicopia-dev-knowledge-graph-rdbms"
    }
  }
}
```

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

---
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