# mcp-advisor

> Use this tool when you need to evaluate server compliance with the Model Context Protocol specification or require detailed explanations of MCP topics. It provides comprehensive access to MCP through prompts and resources, solving problems related to protocol understanding and implementation. Ideal for use cases involving MCP specification evaluation, compliance testing, and knowledge acquisition.

Canonical page: https://skillsregistry.net/skills/olaservo-mcp-advisor  
JSON: https://api.skillsregistry.net/v1/skills/olaservo-mcp-advisor

## Description

Provides comprehensive access to the Model Context Protocol specification through prompts and resources, enabling evaluation of server compliance and detailed explanations of MCP topics.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/yc5mn77bbb)
- **Repository:** <https://github.com/olaservo/mcp-advisor>

## 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": "olaservo-mcp-advisor"
    }
  }
}
```

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