# @hyperweb/mcp-server

> Use this tool when you need to generate, verify, and set up Starship configurations for the Hyperweb platform, solving problems related to AI-driven configuration management. It takes in input parameters and outputs validated Starship configurations, enabling seamless integration with the Hyperweb ecosystem. Ideal for use cases requiring automated configuration setup and verification in AI-powered environments.

Canonical page: https://skillsregistry.net/skills/hyperweb-io-mcp  
JSON: https://api.skillsregistry.net/v1/skills/hyperweb-io-mcp

## Description

MCP server that enables AI agents to generate, verify, and set up Starship configurations for the Hyperweb platform.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-31

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/j3nzvlt7vv)
- **Repository:** <https://github.com/hyperweb-io/mcp>

## 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": "hyperweb-io-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/hyperweb-io-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/hyperweb-io-mcp/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