# nah

> nah — linmx0130-nah. Use this tool when you need to implement the Model Context Protocol in a Rust environment, solving issues of model management and communication between clients and servers. It provides a pure Rust implementation for both client and server, accepting model data as input and outputting managed models. Utilize it in projects requiring efficient model context handling, such as machine learning or AI applications, where git version control is also necessary.

Canonical page: https://skillsregistry.net/skills/linmx0130-nah  
JSON: https://api.skillsregistry.net/v1/skills/linmx0130-nah

## Description

Pure rust implementation of Model Context Protocl in both the client and the server.

## Trust

- **Trust score (0–1):** 0.42
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MPL-2.0
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/linmx0130/nah)

## 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": "linmx0130-nah"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/linmx0130-nah` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/linmx0130-nah/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