# mcp-servers

> mcp-servers — bengweeks-mcp-servers. Use this tool when you need to integrate AI models into educational or family-focused applications, and require a collection of Model Context Protocol (MCP) servers to facilitate seamless interactions. It solves problems related to AI model deployment and management, providing a standardized interface for inputs and outputs. Ideal for use cases involving git-based version control and collaborative AI development.

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

## Description

Collection of Model Context Protocol (MCP) servers for educational and family-focused AI integrations

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-20

## Source

- **Source listing:** [GitHub](https://github.com/BenGWeeks/mcp-servers)

## 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": "bengweeks-mcp-servers"
    }
  }
}
```

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