# MCP Server Template (Python)

> MCP Server Template (Python) — truongvanhaoem-0111-mcp-server-python-msx1l7h1. Use this tool when you need to quickly set up a secure and scalable server with authentication and health checks. It solves problems related to bootstrapping a new server project, providing a pre-configured template with bearer token authentication and Streamable HTTP transport. The template accepts custom tool additions and outputs a deployable server, ideal for use cases requiring rapid server deployment to platforms like Render.

Canonical page: https://skillsregistry.net/skills/truongvanhaoem-0111-mcp-server-python-msx1l7h1  
JSON: https://api.skillsregistry.net/v1/skills/truongvanhaoem-0111-mcp-server-python-msx1l7h1

## Description

A minimal Python MCP server template with Streamable HTTP transport, bearer token authentication, and a health check endpoint. It provides a starting point for adding custom tools and deploying to Render.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** devops-ci
- **Updated:** 2026-08-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/hndki1bn5t)
- **Repository:** <https://github.com/truongvanhaoem-0111/mcp-server-python-msx1l7h1>

## 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": "truongvanhaoem-0111-mcp-server-python-msx1l7h1"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/truongvanhaoem-0111-mcp-server-python-msx1l7h1` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/truongvanhaoem-0111-mcp-server-python-msx1l7h1/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