# AIR MCP Server

> AIR MCP Server — vericyio-mcp-air. Use this tool when you need to streamline governed risk assessments for AI projects, enabling discovery, evidence upload, and report generation. It solves problems related to project risk evaluation, compliance, and auditability by providing a structured assessment process. The tool accepts project data and evidence as inputs and produces comprehensive, structured reports as outputs.

Canonical page: https://skillsregistry.net/skills/vericyio-mcp-air  
JSON: https://api.skillsregistry.net/v1/skills/vericyio-mcp-air

## Description

Enables AI assistants to perform governed risk assessments through AIR: discover projects, upload evidence, run assessments, and retrieve structured reports.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/zt3rjtyyuv)
- **Repository:** <https://github.com/VericyIO/mcp-air>

## 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": "vericyio-mcp-air"
    }
  }
}
```

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