# mcp-aegis

> mcp-aegis — taurgis-mcp-aegis. Use this tool when you need to test Model Context Protocol (MCP) servers with a unified approach, combining declarative and programmatic testing to ensure reliability and accuracy. It solves problems related to verifying MCP server functionality, handling complex testing scenarios, and integrating with version control systems like Git. The tool accepts MCP server configurations and test cases as inputs, producing detailed test reports and results as outputs.

Canonical page: https://skillsregistry.net/skills/taurgis-mcp-aegis  
JSON: https://api.skillsregistry.net/v1/skills/taurgis-mcp-aegis

## Description

Unified Declarative + Programmatic Testing for Model Context Protocol Servers

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-20

## Source

- **Source listing:** [GitHub](https://github.com/taurgis/mcp-aegis)

## 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": "taurgis-mcp-aegis"
    }
  }
}
```

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