# Linkr KVM MCP Server

> Use this tool when you need to remotely control and interact with Radxa Linkr KVM devices, or automate tasks that require screen manipulation and OCR capabilities. It solves problems such as automated testing, screen scraping, and remote device management by providing a programmatic interface to send keyboard and mouse events, capture screenshots, and query vision models. The Linkr KVM MCP Server accepts MCP client requests and returns outputs such as screenshots, cropped images, and OCR results.

Canonical page: https://skillsregistry.net/skills/bigfootaca-linkr-mcp  
JSON: https://api.skillsregistry.net/v1/skills/bigfootaca-linkr-mcp

## Description

Linkr KVM MCP Server exposes Radxa Linkr KVM controls through the Model Context Protocol (MCP). It lets an MCP client capture screenshots, crop screen areas, send keyboard and mouse events, type text, wait for on-screen text, and ask vision/OCR models about the current screen.

## 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:** other
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/krtjxwfoy0)
- **Repository:** <https://github.com/BigfootACA/linkr-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": "bigfootaca-linkr-mcp"
    }
  }
}
```

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