# MCP Helmet

> Use this tool when you need to build scalable and secure Model Context Protocol applications with ease, as it solves problems related to authentication, rate limiting, and logging. The MCP Helmet provides a simple interface for wrapping the official SDK, accepting inputs such as bearer tokens and API keys, and outputs logged requests and health check results. It is ideal for use in production environments where reliability and security are crucial.

Canonical page: https://skillsregistry.net/skills/ankitvirdi4-helmet  
JSON: https://api.skillsregistry.net/v1/skills/ankitvirdi4-helmet

## Description

MCP Helmet is a composable middleware layer wrapping the official Model Context Protocol SDK with production-ready features. It provides auto transport detection for stdio and HTTP, built-in auth middleware for bearer tokens and API keys, health checks, graceful shutdown, rate limiting, request logging, and a CLI scaffolder for new projects. Available as the npm package mcp-helmet.

## Trust

- **Trust score (0–1):** 0.62
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** cloud-infra
- **Updated:** 2026-09-03

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/ankitvirdi4-helmet)
- **Repository:** <https://github.com/ankitvirdi4/mcp-helmet>

## 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": "ankitvirdi4-helmet"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ankitvirdi4-helmet` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ankitvirdi4-helmet/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