# mcp-server-evaluations-skills

> mcp-server-evaluations-skills — mcp-com-ai-mcp-server-evaluations-skills. Use this tool when you need to evaluate MCP server quality and reliability, as it verifies tool functionality, tests error handling, and assesses response quality with minimal dependencies. It solves problems related to validating MCP server implementations, testing OpenAPI-to-MCP conversions, and assessing API tool quality. Inputting an MCP server for evaluation, it outputs a quality and reliability assessment, making it ideal for use cases involving server validation and API testing.

Canonical page: https://skillsregistry.net/skills/mcp-com-ai-mcp-server-evaluations-skills  
JSON: https://api.skillsregistry.net/v1/skills/mcp-com-ai-mcp-server-evaluations-skills

## Description

Evaluate MCP servers for quality and reliability. Verify tool functionality, test error handling, generate tests, and assess response quality with no dependencies other than curl. Use this when validating MCP server implementations, testing OpenAPI-to-MCP conversions, or assessing API tool quality.

## 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/mcp-com-ai/mcp-server-evaluations-skills)

## 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": "mcp-com-ai-mcp-server-evaluations-skills"
    }
  }
}
```

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