# Lanchu

> Lanchu — lanchuske-lanchu. Use this tool when you need to manage and coordinate AI agents efficiently, as it provides a user-friendly control panel for scope control, real-time monitoring, and audit trails. Lanchu solves the problem of complex AI agent management by offering a no-code solution, making it accessible to non-technical users. It takes in AI agent inputs and outputs monitoring data, ideal for use cases requiring transparent and controlled AI operations.

Canonical page: https://skillsregistry.net/skills/lanchuske-lanchu  
JSON: https://api.skillsregistry.net/v1/skills/lanchuske-lanchu

## Description

A control panel and coordination system for AI agents, enabling scope control, real-time monitoring, and audit trails without requiring programming skills.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-30

## Source

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

## 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": "lanchuske-lanchu"
    }
  }
}
```

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

---
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