# MCP Demo Server

> Use this tool when you need to demonstrate the MCP protocol with a simple addition functionality, or require a minimal server for testing and development purposes. It solves problems related to protocol testing and deployment, supporting multiple transport modes for flexible integration. The server accepts numerical inputs and returns their sum as output, making it a useful tool for developers and testers working with the MCP protocol.

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

## Description

A minimal fastmcp demonstration server that provides a simple addition tool through the MCP protocol, supporting deployment via Docker with multiple transport modes.

## 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:** cloud-infra
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/viwpx57w5l)
- **Repository:** <https://github.com/OmniMCP-AI/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": "omnimcp-ai-mcp-demo"
    }
  }
}
```

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