# MCP Demo

> Use this tool when you need to manage and interact with a Model Context Protocol server, providing a web-based interface for persistent configuration management and foundational tools for greeting, echoing input, and retrieving or updating server settings. It solves problems related to server configuration and interaction, offering a user-friendly interface for input and output. Ideal for use cases requiring MCP server management and basic interaction capabilities.

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

## Description

A demonstration Model Context Protocol server that includes a web-based interface for managing persistent configurations. It provides foundational tools for greeting, echoing input, and retrieving or updating server settings through MCP.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-05-05

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ez34jvi3zq)
- **Repository:** <https://github.com/tanteng/mcp-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": "tanteng-mcp-demo"
    }
  }
}
```

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