# Ruishu MCP

> Use this tool when you need to integrate large language models (LLMs) with dynamic web data, or to extract structured data from complex web environments. Ruishu MCP solves the problem of accessing high-quality, real-time data from websites by bridging the gap between LLMs and web traffic. It takes in network traffic data as input and outputs structured data for AI agents to utilize.

Canonical page: https://skillsregistry.net/skills/xuange520-ruishu-mcp  
JSON: https://api.skillsregistry.net/v1/skills/xuange520-ruishu-mcp

## Description

An MCP server that bridges LLMs with dynamic real-world data by leveraging Chrome DevTools Protocol to intercept and reconstruct network traffic, enabling AI agents to extract high-quality structured data from complex web environments.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/waoazewh21)
- **Repository:** <https://github.com/xuange520/ruishu-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": "xuange520-ruishu-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/xuange520-ruishu-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/xuange520-ruishu-mcp/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