# getdebug MCP

> Use this tool when you need to integrate your getdebug projects with MCP-compatible AI clients, enabling them to access project findings and proposed fixes securely using an existing bearer token. It solves the problem of limited access to debug data for AI clients, streamlining the debugging process. The tool takes a bearer token as input and outputs getdebug project data, making it ideal for use cases requiring secure and seamless integration with AI-powered debugging tools.

Canonical page: https://skillsregistry.net/skills/getdebug-ai-mcp  
JSON: https://api.skillsregistry.net/v1/skills/getdebug-ai-mcp

## Description

Lets MCP-compatible AI clients read your getdebug projects, findings, and proposed fixes using your existing bearer token.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **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/hvzl1cdx5a)
- **Repository:** <https://github.com/getdebug-ai/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": "getdebug-ai-mcp"
    }
  }
}
```

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