# TrustModel MCP Server

> TrustModel MCP Server — karlmehta-trustmodel-mcp. Use this tool when you need to evaluate the trustworthiness and safety of AI models and agent interactions. The TrustModel MCP Server provides APIs for assessing bias and trust in models and agentic traces, solving problems related to AI reliability and fairness. It takes in model and trace data as input and outputs trust and safety evaluations, making it ideal for use cases requiring transparent and accountable AI decision-making.

Canonical page: https://skillsregistry.net/skills/karlmehta-trustmodel-mcp  
JSON: https://api.skillsregistry.net/v1/skills/karlmehta-trustmodel-mcp

## Description

Enables AI agents to evaluate trust, safety, and bias of models and agentic traces using TrustModel APIs.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/a46kiauxy6)
- **Repository:** <https://github.com/karlmehta/trustmodel-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": "karlmehta-trustmodel-mcp"
    }
  }
}
```

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