# MCP Server Sample

> Use this tool when you need to integrate a Model Context Protocol (MCP) server with Large Language Model (LLM) clients, or to educate yourself on building a functional MCP server. It provides a sample implementation that demonstrates core MCP server functionality, solving problems related to model context management and client-server integration. The tool accepts LLM client inputs and outputs contextualized model responses, making it suitable for use cases involving AI model development and testing.

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

## Description

An educational implementation of a Model Context Protocol server that demonstrates how to build a functional MCP server integrating with various LLM clients.

## Trust

- **Trust score (0–1):** 0.99
- **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/t48j3ey546)
- **Repository:** <https://github.com/antonscap/mcp-server-sample>

## 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": "antonscap-mcp-server-sample"
    }
  }
}
```

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