# Gel Database

> Use this tool when you need to automate interactions with Gel databases, such as schema discovery, query validation, and execution, to enable AI-assisted database management and analysis. It takes EdgeQL and TypeScript queries as input and provides validated queries and execution results as output. Ideal for use cases like automated data analysis, query generation, and database management tasks that require seamless integration with LLM agents.

Canonical page: https://skillsregistry.net/skills/christian561-gel-database  
JSON: https://api.skillsregistry.net/v1/skills/christian561-gel-database

## Description

This MCP server implementation provides a bridge between LLM agents and Gel databases, enabling automated schema discovery, query validation, and execution of EdgeQL and TypeScript queries. Developed by Christian561, it leverages the Model Context Protocol SDK and Gel query builder to offer tools for describing database schemas, validating EdgeQL syntax, and executing queries. The server is designed for use cases requiring AI-assisted database interactions, such as automated data analysis, query generation, and database management tasks.

## Trust

- **Trust score (0–1):** 0.81
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/christian561-gel-database)
- **Repository:** <https://github.com/christian561/gel-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": "christian561-gel-database"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/christian561-gel-database` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/christian561-gel-database/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