# GraphJin

> Use this tool when you need to query databases using natural language, enabling AI assistants to retrieve data without requiring manual SQL coding. GraphJin solves problems of data accessibility and complexity by automatically discovering database schemas and compiling natural language queries into executable SQL. It takes natural language inputs and returns relevant data outputs, ideal for use cases where ease of data retrieval and simplicity are crucial.

Canonical page: https://skillsregistry.net/skills/dosco-graphjin  
JSON: https://api.skillsregistry.net/v1/skills/dosco-graphjin

## Description

Enables AI assistants to query databases using natural language, with automatic schema discovery and SQL compilation.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-06-12

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/s0f7dd60np)
- **Repository:** <https://github.com/dosco/graphjin>

## 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": "dosco-graphjin"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/dosco-graphjin` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/dosco-graphjin/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