# DongneSOS MCP

> Use this tool when you need to efficiently prepare Korean neighborhood inconvenience reports by categorizing issues and drafting objective reports. It solves problems related to report writing, such as organizing evidence and maintaining a neutral tone, and accepts issue descriptions as input, producing a structured report as output. Ideal for use in community management and dispute resolution contexts.

Canonical page: https://skillsregistry.net/skills/kjessie00-dongnesos-mcp  
JSON: https://api.skillsregistry.net/v1/skills/kjessie00-dongnesos-mcp

## Description

Helps users prepare Korean neighborhood inconvenience reports by classifying issues, explaining evidence, and drafting neutral reports without submitting them.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/zhnfp1zdc9)
- **Repository:** <https://github.com/kjessie00/dongnesos-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": "kjessie00-dongnesos-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/kjessie00-dongnesos-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/kjessie00-dongnesos-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