# MCP Learning Server

> MCP Learning Server — abhishekmishra06-mcp-learning-server. Use this tool when you need to learn and interact with the Model Context Protocol (MCP) through a simple Node.js server, providing hands-on experience with various tools such as calculators, UUID generators, and weather APIs. It solves problems for developers seeking to understand MCP's underlying mechanics and integration with different applications. The server accepts input requests and returns output responses for each tool, making it ideal for educational and testing purposes.

Canonical page: https://skillsregistry.net/skills/abhishekmishra06-mcp-learning-server  
JSON: https://api.skillsregistry.net/v1/skills/abhishekmishra06-mcp-learning-server

## Description

A beginner-friendly MCP server built in plain Node.js/JavaScript that exposes five tools (calculator, UUID generator, read notes, get weather, password generator) to teach how the Model Context Protocol works under the hood.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** maps-location
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/k2g8mnl2vq)
- **Repository:** <https://github.com/abhishekmishra06/mcp-learning-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": "abhishekmishra06-mcp-learning-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/abhishekmishra06-mcp-learning-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/abhishekmishra06-mcp-learning-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