# J-Link

> Use this tool when you need to debug and control embedded devices, solving problems such as faulty firmware or hardware issues through features like device control, memory inspection, and log streaming. It accepts inputs from SEGGER J-Link debug probes and outputs debugging information, with interfaces including GDB server management and telnet proxy. Use J-Link in contexts where embedded device development, testing, and debugging are required.

Canonical page: https://skillsregistry.net/skills/klievan-jlink  
JSON: https://api.skillsregistry.net/v1/skills/klievan-jlink

## Description

Connects to SEGGER J-Link debug probes to enable embedded device debugging. Provides 31 tools spanning device control (halt, resume, reset, step), memory and register read/write, firmware flashing, hardware breakpoints, GDB server management, and Real-Time Transfer (RTT) log streaming. Also supports OpenOCD and Black Magic Probe backends in beta. Includes a telnet proxy for external detokenizers like Trice and Pigweed.

## Trust

- **Trust score (0–1):** 0.61
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** iot-hardware
- **Updated:** 2026-09-02

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/klievan-jlink)
- **Repository:** <https://github.com/klievan/jlink-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": "klievan-jlink"
    }
  }
}
```

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