# Simple MCP Server

> Use this tool when you need to provide a minimal server implementation for LLM clients to access various tools and integrate with AI systems. It solves problems of authentication and tool access by offering simple authentication and example tools like greetings and system info via HTTP or stdio transports. It is ideal for use cases where custom tools need to be added to enhance AI capabilities, with easy extension and integration with systems like Windsurf IDE and Claude.

Canonical page: https://skillsregistry.net/skills/ilil1-simple-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/ilil1-simple-mcp-server

## Description

Provide a minimal MCP server implementation that enables LLM clients to connect and access example tools via HTTP or stdio transports. Facilitate integration with AI systems like Windsurf IDE and Claude by offering simple authentication and example tools such as greeting, version info, and system info. Extend the server easily by adding custom tools to enhance AI capabilities.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** ai-ml
- **Updated:** 2026-05-14

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/ilil1/simple-mcp-server)

## 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": "ilil1-simple-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ilil1-simple-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ilil1-simple-mcp-server/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
