# Vendor Risk Assessment MCP Server

> Use this tool when you need to evaluate and compare vendor risks using AI-powered assessments, to solve problems such as mitigating third-party risks and ensuring compliance. It takes natural language queries as input and provides individual vendor evaluations, multi-vendor comparisons, and industry risk benchmarks as output. This tool is ideal for use cases where organizations need to make informed decisions about vendor partnerships and manage potential risks.

Canonical page: https://skillsregistry.net/skills/amarshikhar-mcp-demo  
JSON: https://api.skillsregistry.net/v1/skills/amarshikhar-mcp-demo

## Description

Enables AI-powered vendor risk assessment using AWS Titan, allowing users to evaluate individual vendors, compare multiple vendors, and get industry risk benchmarks through natural language queries.

## Trust

- **Trust score (0–1):** 0.96
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/d7g82c7qio)
- **Repository:** <https://github.com/amarshikhar/mcp-demo>

## 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": "amarshikhar-mcp-demo"
    }
  }
}
```

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