# Helm

> Use this tool when you need to automate browser interactions using natural language, handling tasks such as navigation, form filling, and data extraction. Helm solves problems related to web scraping, automation, and data collection by providing a simple and intuitive interface for AI agents to control a browser. It accepts natural language inputs and outputs extracted data or automated browser actions, making it ideal for use cases where CSS selectors are not available or practical.

Canonical page: https://skillsregistry.net/skills/tylergibbs1-helm  
JSON: https://api.skillsregistry.net/v1/skills/tylergibbs1-helm

## Description

Semantic browser automation MCP server that lets AI agents control a browser using natural language, handling navigation, form filling, data extraction, and more without CSS selectors.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** cloud-infra
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/dw169xnfa7)
- **Repository:** <https://github.com/tylergibbs1/helm>

## 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": "tylergibbs1-helm"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/tylergibbs1-helm` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/tylergibbs1-helm/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