# MCP Server Template

> Use this tool when you need to build a customizable Model Context Protocol server with a modular architecture and multiple transport methods. It solves problems of complex server setup and configuration by providing a comprehensive template with auto-discovery registry and example tools. The template takes in custom module inputs and outputs MCP-compliant server configurations, ideal for use in development environments where rapid prototyping and testing of MCP servers are required.

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

## Description

A comprehensive template for building Model Context Protocol servers with FastMCP framework, featuring modular architecture, auto-discovery registry, and support for multiple transport methods. Includes example arithmetic and weather tools to help developers quickly create custom MCP servers.

## Trust

- **Trust score (0–1):** 0.92
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** maps-location
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/vug1hcp1dt)
- **Repository:** <https://github.com/rwxproject/mcp-server-template>

## 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": "rwxproject-mcp-server-template"
    }
  }
}
```

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