# mokei

> mokei — tairuframework-mokei. Use this tool when you need to create, interact with, and monitor clients and servers using the Model Context Protocol. It solves problems related to protocol implementation, client-server communication, and model monitoring, providing a robust interface for inputs and outputs. Ideal for use cases requiring efficient model context management, such as machine learning or data-intensive applications.

Canonical page: https://skillsregistry.net/skills/tairuframework-mokei  
JSON: https://api.skillsregistry.net/v1/skills/tairuframework-mokei

## Description

TypeScript toolkit for creating, interacting and monitoring clients and servers using the Model Context Protocol

## Trust

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

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** monitoring
- **Updated:** 2026-09-26

## Source

- **Source listing:** [GitHub](https://github.com/TairuFramework/mokei)

## 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": "tairuframework-mokei"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/tairuframework-mokei` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/tairuframework-mokei/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