# YYSK MCP Server

> Use this tool when you need to integrate AI models with internal company knowledge bases, enabling them to retrieve relevant information such as wikis, regulations, and notices. It solves problems of information accessibility and consistency, providing a centralized platform for content management and search. The tool accepts keyword and category-based queries as input and returns relevant information via the Model Context Protocol, with a user-friendly React dashboard for content editing and management.

Canonical page: https://skillsregistry.net/skills/jessieorg-yysk-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/jessieorg-yysk-mcp-server

## Description

An enterprise internal knowledge base assistant that enables AI models to retrieve company wikis, regulations, and notices via the Model Context Protocol. It features a built-in React management dashboard for content editing and utilizes SQLite for efficient keyword and category-based searching.

## Trust

- **Trust score (0–1):** 0.89
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/hc6j36f832)
- **Repository:** <https://github.com/jessieorg/yysk-mcp-server>

## 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": "jessieorg-yysk-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/jessieorg-yysk-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/jessieorg-yysk-mcp-server/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