# kbbi-mcp

> Use this tool when you need to query the Kamus Besar Bahasa Indonesia (KBBI) dictionary, providing Indonesian language definitions and translations. It solves problems related to language understanding, vocabulary, and terminology, accepting input queries and returning relevant dictionary entries as output. Ideal for language learners, writers, and researchers requiring accurate and reliable Indonesian language references.

Canonical page: https://skillsregistry.net/skills/gaato-kbbi-mcp  
JSON: https://api.skillsregistry.net/v1/skills/gaato-kbbi-mcp

## Description

An MCP server for querying KBBI (Kamus Besar Bahasa Indonesia / KBBI Daring).

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/on2mcwsie9)
- **Repository:** <https://github.com/gaato/kbbi-mcp>

## 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": "gaato-kbbi-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/gaato-kbbi-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/gaato-kbbi-mcp/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