# MCP Server Starter Template

> MCP Server Starter Template — mohammad-jaradat-mcpserverstartertemplate. Use this tool when you need to quickly set up a basic MCP server with core functionality, such as greeting tools and search stubs, to solve problems like streamlining server development and providing a foundation for custom applications. It takes TypeScript inputs and outputs a functional server template, ideal for use cases like rapid prototyping or educational projects. This template is particularly useful in contexts like the NextFlows Academy cohort, where a solid starting point for MCP server development is required.

Canonical page: https://skillsregistry.net/skills/mohammad-jaradat-mcpserverstartertemplate  
JSON: https://api.skillsregistry.net/v1/skills/mohammad-jaradat-mcpserverstartertemplate

## Description

A TypeScript starter template for building MCP servers, including a greet tool and stubs for a Notes & FAQ Search, designed for the NextFlows Academy cohort.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-29

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/l7jx1pemfu)
- **Repository:** <https://github.com/mohammad-jaradat/MCPServerStarterTemplate>

## 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": "mohammad-jaradat-mcpserverstartertemplate"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/mohammad-jaradat-mcpserverstartertemplate` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/mohammad-jaradat-mcpserverstartertemplate/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