# starlink-blade-mcp

> starlink-blade-mcp — groupthink-dev-starlink-blade-mcp. Use this tool when you need to monitor and control Starlink dish hardware locally, without relying on cloud APIs or credentials. It provides gRPC-based monitoring, alerts, obstruction mapping, and hardware control, making it ideal for managing Starlink setups in various environments. The tool accepts local inputs and outputs monitoring data, alerts, and control signals, suitable for use cases requiring autonomous Starlink management.

Canonical page: https://skillsregistry.net/skills/groupthink-dev-starlink-blade-mcp  
JSON: https://api.skillsregistry.net/v1/skills/groupthink-dev-starlink-blade-mcp

## Description

Starlink dish MCP server — local gRPC monitoring, alerts, obstruction mapping, and hardware control. No cloud API or credentials required.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** iot-hardware
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/Groupthink-dev/starlink-blade-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": "groupthink-dev-starlink-blade-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/groupthink-dev-starlink-blade-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/groupthink-dev-starlink-blade-mcp/pull`

---
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