# MCP Server Template (Python)

> MCP Server Template (Python) — rohitcube-mcp-server-python-msmzwqb8. Use this tool when you need to quickly deploy a minimal server with secure authentication and health checks, ideal for prototyping or testing custom tools. It solves problems related to rapid server setup and secure API deployment, accepting HTTP requests and bearer tokens as inputs and providing customizable tool outputs. Use it when building proof-of-concepts or testing environments for your applications.

Canonical page: https://skillsregistry.net/skills/rohitcube-mcp-server-python-msmzwqb8  
JSON: https://api.skillsregistry.net/v1/skills/rohitcube-mcp-server-python-msmzwqb8

## Description

A minimal MCP server template with Streamable HTTP transport, bearer token authentication, and a health check endpoint, designed for quick deployment on Render. It provides an example tool and is meant to be forked and customized with your own tools.

## 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:** devops-ci
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/d10f6anukk)
- **Repository:** <https://github.com/rohitcube/mcp-server-python-msmzwqb8>

## 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": "rohitcube-mcp-server-python-msmzwqb8"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/rohitcube-mcp-server-python-msmzwqb8` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/rohitcube-mcp-server-python-msmzwqb8/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