# mcp-poc

> Use this tool when you need to demonstrate basic server functionality with typed parameters and error handling. It solves problems related to simple calculations and text analysis through four built-in tools: add, greet, text_stats, and divide. With stdio transport, it accepts input parameters and returns structured outputs, making it suitable for testing and development contexts.

Canonical page: https://skillsregistry.net/skills/renolu-mcp-poc  
JSON: https://api.skillsregistry.net/v1/skills/renolu-mcp-poc

## Description

A minimal MCP server with four tools (add, greet, text_stats, divide) demonstrating typed parameters, structured outputs, and error handling over stdio transport.

## Trust

- **Trust score (0–1):** 0.99
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/vcluvfizft)
- **Repository:** <https://github.com/RenoLu/mcp-poc>

## 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": "renolu-mcp-poc"
    }
  }
}
```

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