# tiangong-mcp

> Use this tool when you need to manage and cultivate AI agents, enabling the creation, sharing, and development of artificial intelligence artifacts. It solves problems related to AI agent management, such as forging, sharing, and skill development, through commands for cultivation and achievement tracking. The tiangong-mcp server takes in user inputs and outputs managed AI agents with cultivated skills and achievements.

Canonical page: https://skillsregistry.net/skills/jinning6-tiangong  
JSON: https://api.skillsregistry.net/v1/skills/jinning6-tiangong

## Description

An MCP server for the TianGong platform, enabling users to forge, share, and cultivate AI Agents as artifacts, with commands for cultivation start, achievement cards, and skill management.

## Trust

- **Trust score (0–1):** 0.66
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ntrz7zvn9a)
- **Repository:** <https://github.com/JinNing6/TianGong>

## 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": "jinning6-tiangong"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/jinning6-tiangong` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/jinning6-tiangong/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