# ai-mcp

> Use this tool when you need to integrate system information and weather lookup capabilities into an AI agent, providing a lightweight MCP server that exposes tools via stdio for seamless interaction. It solves problems related to accessing system details and weather data, enabling agents to make informed decisions. Ideal for use cases requiring efficient and standardized input/output interfaces for agent integration.

Canonical page: https://skillsregistry.net/skills/wangyj641-ai-mcp  
JSON: https://api.skillsregistry.net/v1/skills/wangyj641-ai-mcp

## Description

Lightweight MCP server that exposes tools for system information and weather lookup, designed for agent integration via stdio.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** maps-location
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/xe97niy7de)
- **Repository:** <https://github.com/wangyj641/ai-mcp>

## 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": "wangyj641-ai-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/wangyj641-ai-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/wangyj641-ai-mcp/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
