# MCP-Relational-AI-Gateway

> MCP-Relational-AI-Gateway — nanisadw3-mcp-relational-ai-gateway. Use this tool when you need to interact with databases using natural language, visualize data, and switch between multiple AI models. The MCP-Relational-AI-Gateway solves problems of complex database queries and data visualization, accepting natural language inputs and producing interactive charts as outputs. It is ideal for use cases involving MS SQL Server and PostgreSQL databases, particularly when working with Google Gemini and Anthropic Claude AI models.

Canonical page: https://skillsregistry.net/skills/nanisadw3-mcp-relational-ai-gateway  
JSON: https://api.skillsregistry.net/v1/skills/nanisadw3-mcp-relational-ai-gateway

## Description

MCP Relational AI Gateway 🚀 An elegant, multi-LLM database assistant & dashboard powered by Model Context Protocol (MCP). Interact with MS SQL Server and PostgreSQL databases using natural language, visualize data with drag-to-zoom interactive charts, and switch seamlessly between Google Gemini, Anthropic Claude

## Trust

- **Trust score (0–1):** 0.74
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/nanisadw3/MCP-Relational-AI-Gateway)

## 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": "nanisadw3-mcp-relational-ai-gateway"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/nanisadw3-mcp-relational-ai-gateway` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/nanisadw3-mcp-relational-ai-gateway/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