# Dgraph

> Use this tool when you need to integrate language models with graph databases, enabling AI assistants to execute queries and manage database schemas. It solves problems of context switching and manual database operations, providing a bridge between AI and databases through a specialized interface. Ideal for developers who want to leverage AI for graph database interactions, it accepts DQL queries and schema information as inputs and outputs database operation results.

Canonical page: https://skillsregistry.net/skills/johnymontana-dgraph  
JSON: https://api.skillsregistry.net/v1/skills/johnymontana-dgraph

## Description

Dgraph MCP Server provides a bridge between language models and Dgraph graph databases, enabling AI assistants to execute DQL queries, perform mutations, and manage database schemas. Built in Go using the mcp-go library, it exposes specialized tools for database operations and includes a resource endpoint for retrieving schema information. The implementation features a Docker-based deployment option with a complete Dgraph environment and includes example code for both simple database operations and a more complex movie database application. Ideal for developers who want to leverage AI assistants for graph database interactions without switching context to separate database tools.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

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

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/johnymontana-dgraph)
- **Repository:** <https://github.com/johnymontana/dgraph-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": "johnymontana-dgraph"
    }
  }
}
```

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