# MCP-123

> Use this tool when you need to quickly set up and run MCP servers and clients, or automatically expose functions as tools for Large Language Models (LLMs) to utilize. The MCP-123 package simplifies this process, requiring only 2 lines of code to integrate functions with LLMs. It solves problems related to streamlining MCP server and client setup, and provides a straightforward interface for exposing tools to LLMs.

Canonical page: https://skillsregistry.net/skills/tylersuard-mcp-123  
JSON: https://api.skillsregistry.net/v1/skills/tylersuard-mcp-123

## Description

A minimal Python package for easily setting up and running MCP servers and clients, allowing functions to be automatically exposed as tools that LLMs can use with just 2 lines of code.

## Trust

- **Trust score (0–1):** 0.95
- **Verification tier:** verified
- **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/alrg8e1nvd)
- **Repository:** <https://github.com/Tylersuard/MCP-123>

## 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": "tylersuard-mcp-123"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/tylersuard-mcp-123` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/tylersuard-mcp-123/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