# fusion

> fusion — yasinyaman-fusion. Use this tool when you need to analyze and query large datasets stored in PostgreSQL or MySQL databases, and want to leverage the power of SQL queries and data aggregation. It enables large language models (LLMs) to perform complex queries and generate materialized views via DuckDB, providing a seamless interface for data analysis. Ideal for use cases requiring data insights and business intelligence, it takes database connections and SQL queries as inputs and returns aggregated data and query results.

Canonical page: https://skillsregistry.net/skills/yasinyaman-fusion  
JSON: https://api.skillsregistry.net/v1/skills/yasinyaman-fusion

## Description

Enables LLMs to perform analytical SQL queries on PostgreSQL/MySQL databases via DuckDB, with tools for querying, aggregation, and materialized views.

## Trust

- **Trust score (0–1):** 0.34
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/vlqbqja09b)
- **Repository:** <https://github.com/yasinyaman/fusion>

## 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": "yasinyaman-fusion"
    }
  }
}
```

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