# mcp-plugin-neighborhood-sense

> mcp-plugin-neighborhood-sense — real-signal-mcp-plugin-neighborhood-sense. Use this tool when you need to answer questions about Singapore neighborhoods using various data points such as atmosphere and intent. It solves problems related to providing information on neighborhood characteristics, using inputs like Moment Quality and predictions-track-record to generate accurate outputs. The mcp-plugin-neighborhood-sense plugin provides read-only access to this data, making it ideal for applications requiring Singapore neighborhood insights.

Canonical page: https://skillsregistry.net/skills/real-signal-mcp-plugin-neighborhood-sense  
JSON: https://api.skillsregistry.net/v1/skills/real-signal-mcp-plugin-neighborhood-sense

## Description

Reference MCP plugin for Real Signal's calm-AI substrate. Lets Claude answer questions about Singapore neighbourhoods using atmosphere, Moment Quality, intent, silence, and predictions-track-record. Read-only, MIT-licensed.

## Trust

- **Trust score (0–1):** 0.99
- **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/real-signal/mcp-plugin-neighborhood-sense)

## 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": "real-signal-mcp-plugin-neighborhood-sense"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/real-signal-mcp-plugin-neighborhood-sense` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/real-signal-mcp-plugin-neighborhood-sense/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