# Cortex Debug Bridge

> Use this tool when you need to access and analyze embedded systems debug data from Cortex-Debug and PlatformIO sessions. The Cortex Debug Bridge provides 14 tools to expose register values, memory contents, stack frames, and variable states, streamlining firmware and embedded development workflows. It runs a local SSE MCP server on port 7580, offering a comprehensive interface for debugging and testing embedded systems.

Canonical page: https://skillsregistry.net/skills/paulopalaoro-cortex-debug-bridge  
JSON: https://api.skillsregistry.net/v1/skills/paulopalaoro-cortex-debug-bridge

## Description

VSCode extension that runs a local SSE MCP server on port 7580, providing 14 tools for accessing embedded systems debug data from Cortex-Debug and PlatformIO sessions. Exposes register values, memory contents, stack frames, and variable states from active debug sessions. TypeScript implementation for firmware and embedded development workflows.

## Trust

- **Trust score (0–1):** 0.85
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/paulopalaoro-cortex-debug-bridge)
- **Repository:** <https://github.com/paulopalaoro/cortex-mcp-bridge>

## 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": "paulopalaoro-cortex-debug-bridge"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/paulopalaoro-cortex-debug-bridge` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/paulopalaoro-cortex-debug-bridge/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