# study-mcp

> Use this tool when you need to demonstrate basic MCP server functionality or test resources and tools. It solves problems related to showcasing server capabilities, such as greeting users or performing simple calculations. The study-mcp tool takes in user input and provides outputs through its greeting resource, addition tool, and calculation prompt interface.

Canonical page: https://skillsregistry.net/skills/lucs1590-study-mcp  
JSON: https://api.skillsregistry.net/v1/skills/lucs1590-study-mcp

## Description

A simple MCP server demonstrating resources, tools, and prompts, including a greeting resource, an addition tool, and a calculation prompt.

## 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:** ai-ml
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/qxrfp8hnke)
- **Repository:** <https://github.com/Lucs1590/study-mcp>

## 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": "lucs1590-study-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/lucs1590-study-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/lucs1590-study-mcp/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