# Embedded xLink MCP

> Use this tool when you need to debug and interact with ARM Cortex-M and RISC-V microcontrollers, providing solutions for embedded system development and testing. It offers a range of functionalities, including connection management, memory operations, and flash programming, through a server-based interface. The Embedded xLink MCP is ideal for use cases involving low-level system debugging, testing, and validation, accepting inputs such as probe-rs configurations and outputting debug information and system status.

Canonical page: https://skillsregistry.net/skills/vividcode-ai-embedded-xlink-mcp  
JSON: https://api.skillsregistry.net/v1/skills/vividcode-ai-embedded-xlink-mcp

## Description

MCP server for embedded debugging based on probe-rs, providing 22 tools for ARM Cortex-M and RISC-V microcontrollers, including connection, memory operations, breakpoints, flash programming, and RTT communication.

## Trust

- **Trust score (0–1):** 0.66
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/nmntmbajaw)
- **Repository:** <https://github.com/vividcode-ai/embedded-xLink-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": "vividcode-ai-embedded-xlink-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/vividcode-ai-embedded-xlink-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/vividcode-ai-embedded-xlink-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