# ToGMAL MCP Server

> Use this tool when you need to analyze and mitigate potential risks associated with Large Language Model (LLM) interactions, such as providing medical advice or making unsupported claims. The ToGMAL MCP Server provides real-time, privacy-preserving analysis and recommends safety interventions to address problematic behaviors. It is ideal for applications where LLMs are used to generate human-like text, and a taxonomy of limitations and crowdsourced evidence collection are necessary to ensure safe and reliable interactions.

Canonical page: https://skillsregistry.net/skills/hetalksinmaths-togmal-mcp  
JSON: https://api.skillsregistry.net/v1/skills/hetalksinmaths-togmal-mcp

## Description

Provides real-time, privacy-preserving analysis of LLM interactions to detect problematic behaviors like medical advice, dangerous file operations, physics speculation, and unsupported claims. Recommends safety interventions and builds a taxonomy of LLM limitations through crowdsourced evidence collection.

## Trust

- **Trust score (0–1):** 0.00
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/cml3k7sclb)
- **Repository:** <https://github.com/HeTalksInMaths/togmal-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": "hetalksinmaths-togmal-mcp"
    }
  }
}
```

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