# AI App MCP

> Use this tool when you need to deploy a scalable and production-ready server for managing AI applications, solving problems such as health checks, query normalization, and knowledge base searches. It accepts user queries and knowledge base inputs, and outputs relevant documents and RAG prompts through stdio and Streamable HTTP transports. Ideal for use cases requiring efficient and standardized AI application management, such as large-scale natural language processing and information retrieval tasks.

Canonical page: https://skillsregistry.net/skills/yh008-mcp  
JSON: https://api.skillsregistry.net/v1/skills/yh008-mcp

## Description

A production-ready Python MCP server supporting stdio and Streamable HTTP transports, providing tools for health check, user query normalization, knowledge base search, document retrieval, and RAG prompt construction.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-06-22

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/k41ujpel5o)
- **Repository:** <https://github.com/yh008/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": "yh008-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/yh008-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/yh008-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