# Katherine Communication MCP

> Katherine Communication MCP — anlimi555s-katherine-comm-mcp. Use this tool when you need to detect and prevent content manipulation in AI models while preserving privacy, particularly in multilingual environments. It solves problems related to AI model integrity, pipeline reliability, and toxicity control by providing cross-lingual self-consistency checks and cumulative toxicity tracking. It takes in AI model outputs and pipeline data as inputs and provides status monitoring and alerts as outputs, making it ideal for use cases requiring robust AI model validation and security.

Canonical page: https://skillsregistry.net/skills/anlimi555s-katherine-comm-mcp  
JSON: https://api.skillsregistry.net/v1/skills/anlimi555s-katherine-comm-mcp

## Description

Enables privacy-preserving detection of content manipulation in AI model providers via cross-lingual self-consistency, with tools for pipeline checks, status monitoring, and cumulative toxicity tracking.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** devops-ci
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/dm0egib9ex)
- **Repository:** <https://github.com/anlimi555s/katherine-comm-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": "anlimi555s-katherine-comm-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/anlimi555s-katherine-comm-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/anlimi555s-katherine-comm-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