# Grey Swan LLM Safety Challenge MCP Server

> Use this tool when you need to document and analyze Large Language Model (LLM) safety challenges, particularly in competitive environments like the Grey Swan Arena. It solves problems related to tracking and evaluating LLM safety issues by providing a centralized MongoDB-integrated platform for data management. The server accepts input from LLM safety challenges and outputs actionable insights for further analysis and improvement.

Canonical page: https://skillsregistry.net/skills/gravityphone-swanzmcp  
JSON: https://api.skillsregistry.net/v1/skills/gravityphone-swanzmcp

## Description

MongoDB-integrated MCP server for documenting and analyzing LLM safety challenges in the Grey Swan Arena competitions.

## Trust

- **Trust score (0–1):** 1.00
- **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/chpgp65zlw)
- **Repository:** <https://github.com/GravityPhone/SwanzMCP>

## 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": "gravityphone-swanzmcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/gravityphone-swanzmcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/gravityphone-swanzmcp/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