# MCP Server Demo

> Use this tool when you need to facilitate seamless communication between AI models and external tools while maintaining context awareness. It solves problems related to information exchange and synchronization between models and tools, enabling efficient data sharing and processing. The MCP Server Demo takes in model and tool inputs, manages context, and outputs synchronized data for informed decision-making.

Canonical page: https://skillsregistry.net/skills/tian1ll1-mcp-server-demo  
JSON: https://api.skillsregistry.net/v1/skills/tian1ll1-mcp-server-demo

## Description

A demonstration implementation of the Model Context Protocol server that facilitates communication between AI models and external tools while maintaining context awareness.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ggj1zb4m9t)
- **Repository:** <https://github.com/tian1ll1/mcp-server-demo>

## 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": "tian1ll1-mcp-server-demo"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/tian1ll1-mcp-server-demo` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/tian1ll1-mcp-server-demo/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