# MCP Server Collection

> Use this tool when you need to manage and run multiple MCP servers efficiently, solving problems of server organization and scalability. It provides a modular framework with file operations, system information, and extensible support for tools, prompts, and resources, accepting input configurations and outputting server status and performance data. Ideal for use cases requiring centralized server management and customization.

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

## Description

A modular framework for building and running multiple MCP servers with file operations, system information, and extensible tool/prompt/resource support.

## Trust

- **Trust score (0–1):** 0.42
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/rbrsi3c7aj)
- **Repository:** <https://github.com/pengGgxp/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": "pengggxp-mcp-server"
    }
  }
}
```

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