# ai-mcp

> ai-mcp — iinsys-ai-mcp. Use this tool when you need to manage and track AI-related projects and notes, solving problems of version control and collaboration. It provides an interface for inputting and outputting code and notes through git, allowing for efficient management of AI projects. Ideal for use in contexts where multiple stakeholders are involved in AI development and require a centralized repository.

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

## Description

All AI related stuffs and notes

## Trust

- **Trust score (0–1):** 0.84
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/iinsys/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": "iinsys-ai-mcp"
    }
  }
}
```

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