# Python MCP Server Template

> Use this tool when you need to build a custom MCP server integration for AI assistants, requiring a foundational template with example implementations and Streamable HTTP transport. It solves problems of creating custom MCP integrations from scratch, providing a starting point for developers to build upon. The template accepts custom tools, resources, and prompts as inputs and outputs a functional MCP server implementation.

Canonical page: https://skillsregistry.net/skills/raido-star-ridiculous  
JSON: https://api.skillsregistry.net/v1/skills/raido-star-ridiculous

## Description

A foundational template for building MCP servers in Python using Streamable HTTP transport. Provides example implementations of tools, resources, and prompts to help developers create custom MCP integrations for AI assistants.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-04-22

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/aay7nnxq0f)
- **Repository:** <https://github.com/Raido-Star/RIDICULOUS>

## 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": "raido-star-ridiculous"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/raido-star-ridiculous` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/raido-star-ridiculous/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