# fastmcp-opengauss

> Use this tool when you need to interact with openGauss databases using various transport methods, enabling efficient database operations and queries. It solves problems related to database connectivity and management by providing configurable connection parameters. Ideal for use cases requiring flexible and reliable interaction with openGauss databases, accepting inputs such as connection parameters and SQL queries, and outputting query results.

Canonical page: https://skillsregistry.net/skills/howardqin-fastmcp-opengauss  
JSON: https://api.skillsregistry.net/v1/skills/howardqin-fastmcp-opengauss

## Description

Enables interaction with openGauss databases through multiple transport methods (Stdio, SSE, Streamable-Http). Supports database operations and queries with configurable connection parameters.

## Trust

- **Trust score (0–1):** 0.88
- **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:** [Glama](https://glama.ai/mcp/servers/ixkwlgnp51)
- **Repository:** <https://github.com/HowardQin/fastmcp-opengauss>

## 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": "howardqin-fastmcp-opengauss"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/howardqin-fastmcp-opengauss` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/howardqin-fastmcp-opengauss/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