# Trustwise MCP Server

> Use this tool when you need to evaluate the safety, alignment, and performance of large language models (LLMs) and assess their outputs for quality, toxicity, and other key metrics. The Trustwise MCP Server provides advanced evaluation tools with programmatic interfaces for inputting LLM outputs and receiving detailed metrics on safety, performance, and operational efficiency. It is ideal for applications where AI reliability, data privacy, and environmental sustainability are critical concerns.

Canonical page: https://skillsregistry.net/skills/trustwiseai-trustwise-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/trustwiseai-trustwise-mcp-server

## Description

Provides advanced evaluation tools for assessing AI safety, alignment, and performance of LLM outputs. Enables programmatic evaluation of quality, safety metrics like toxicity and PII detection, and operational metrics including carbon footprint and cost estimation.

## Trust

- **Trust score (0–1):** 0.97
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/inbs6xwvvq)
- **Repository:** <https://github.com/trustwiseai/trustwise-mcp-server>

## 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": "trustwiseai-trustwise-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/trustwiseai-trustwise-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/trustwiseai-trustwise-mcp-server/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