# tianshu-mcp

> tianshu-mcp — lanlan0811-tianshu-mcp. Use this tool when you need to automate the development, testing, and debugging cycle by orchestrating other AI agents as workers. It solves problems of manual iteration and feedback loops by creating a closed-loop system of development, acceptance, failure repair, and re-acceptance. The tianshu-mcp server takes in git-based development workflows and outputs automated task management and execution.

Canonical page: https://skillsregistry.net/skills/lanlan0811-tianshu-mcp  
JSON: https://api.skillsregistry.net/v1/skills/lanlan0811-tianshu-mcp

## Description

天枢 × AI-Agent 编排 MCP server：把 其他AI-Agent 当作执行工人，自动完成「开发 → 验收 → 失败返修 → 再验收」闭环。

## Trust

- **Trust score (0–1):** 0.85
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/lanlan0811/tianshu-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": "lanlan0811-tianshu-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/lanlan0811-tianshu-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/lanlan0811-tianshu-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