# kinjot-mcp

> kinjot-mcp — zainzaidi37-kinjot-mcp. Use this tool when you need to save and track useful agent outputs for future reference or collaboration. It solves problems of output loss and improves knowledge sharing by storing valuable information in a git repository. The kinjot-mcp tool takes agent outputs as input and produces a saved record of the output, making it ideal for use cases where information needs to be preserved and easily accessible.

Canonical page: https://skillsregistry.net/skills/zainzaidi37-kinjot-mcp  
JSON: https://api.skillsregistry.net/v1/skills/zainzaidi37-kinjot-mcp

## Description

jotnow - Save useful agent outputs

## Trust

- **Trust score (0–1):** 0.88
- **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/zainzaidi37/kinjot-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": "zainzaidi37-kinjot-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/zainzaidi37-kinjot-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/zainzaidi37-kinjot-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