# Alpic MCP Template

> Alpic MCP Template — romanmoskalenkolearnua-mcp-server-template-nodejs. Use this tool when you need to build MCP servers with efficient HTTP transport, as it provides a pre-configured TypeScript template with example tools and resources to streamline development. It solves problems related to setting up and managing MCP servers, allowing for faster deployment and integration. Ideal for use cases requiring scalable and reliable server architecture, it accepts custom inputs and outputs via a Streamable HTTP interface.

Canonical page: https://skillsregistry.net/skills/romanmoskalenkolearnua-mcp-server-template-nodejs  
JSON: https://api.skillsregistry.net/v1/skills/romanmoskalenkolearnua-mcp-server-template-nodejs

## Description

A TypeScript template for building MCP servers with Streamable HTTP transport, including example tools, resources, and prompts.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/vfvu6vjjw3)
- **Repository:** <https://github.com/RomanMoskalenkoLearnUA/mcp-server-template-nodejs>

## 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": "romanmoskalenkolearnua-mcp-server-template-nodejs"
    }
  }
}
```

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