# MCP Diagnostics Extension

> Use this tool when you need to integrate AI-powered debugging and automated fixes into your development workflow, providing real-time access to diagnostic problems like errors and warnings in VS Code. It solves issues related to context-aware debugging and code correction, accepting diagnostic data as input and outputting automated fixes and recommendations. Ideal for use cases where AI agents require access to compilation and linting issues to enhance development efficiency.

Canonical page: https://skillsregistry.net/skills/newbpydev-mcp-diagnostics-extension  
JSON: https://api.skillsregistry.net/v1/skills/newbpydev-mcp-diagnostics-extension

## Description

Exposes VS Code diagnostic problems like errors and warnings in real-time to AI agents via the Model Context Protocol. It enables AI tools to see compilation and linting issues directly from the problems panel to provide context-aware debugging and automated fixes.

## Trust

- **Trust score (0–1):** 0.80
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/t4x5oofumh)
- **Repository:** <https://github.com/newbpydev/mcp-diagnostics-extension>

## 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": "newbpydev-mcp-diagnostics-extension"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/newbpydev-mcp-diagnostics-extension` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/newbpydev-mcp-diagnostics-extension/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