# my-mcp-server

> my-mcp-server — devbrother2024-my-mcp-server-260730. Use this tool when you need to quickly set up a server with diverse functionalities, such as calculations, geocoding, weather updates, and image generation, and require a flexible interface for handling HTTP requests and responses. It solves problems related to rapid server development, prototyping, and testing, providing a robust boilerplate for various use cases. With support for Streamable HTTP, it is ideal for applications requiring efficient data streaming and real-time interactions.

Canonical page: https://skillsregistry.net/skills/devbrother2024-my-mcp-server-260730  
JSON: https://api.skillsregistry.net/v1/skills/devbrother2024-my-mcp-server-260730

## Description

A TypeScript MCP server boilerplate with Streamable HTTP support, providing tools for greeting, calculation, time, geocoding, weather, and image generation, plus a server-info resource and code-review prompt.

## 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:** media
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/awdxvufp95)
- **Repository:** <https://github.com/devbrother2024/my-mcp-server-260730>

## 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": "devbrother2024-my-mcp-server-260730"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/devbrother2024-my-mcp-server-260730` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/devbrother2024-my-mcp-server-260730/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