# cubrid-mcp-server

> cubrid-mcp-server — cubrid-lab-cubrid-mcp-server. Use this tool when you need to enable large language models (LLMs) to interact with CUBRID databases, allowing them to inspect schemas and execute read-only queries. It provides a Model Context Protocol (MCP) server, accepting inputs via pycubrid and returning query results. Ideal for use cases requiring database introspection and querying, such as data analysis and knowledge graph construction.

Canonical page: https://skillsregistry.net/skills/cubrid-lab-cubrid-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/cubrid-lab-cubrid-mcp-server

## Description

A Model Context Protocol (MCP) server for CUBRID database — enabling LLMs to inspect schemas and execute read-only queries via pycubrid.

## Trust

- **Trust score (0–1):** 0.83
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/cubrid-lab/cubrid-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": "cubrid-lab-cubrid-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/cubrid-lab-cubrid-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/cubrid-lab-cubrid-mcp-server/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