# DevGuard MCP

> DevGuard MCP — xavier777501-mcp. Use this tool when you need to debug and troubleshoot FastAPI/Python projects efficiently, as it provides deterministic debugging capabilities, structured failure reports, and code quality checks, accepting project code as input and outputting detailed reports and analysis. It solves problems related to error identification, code optimization, and testing, making it ideal for developers working on FastAPI/Python applications. By utilizing DevGuard MCP, developers can ensure higher code quality and faster issue resolution.

Canonical page: https://skillsregistry.net/skills/xavier777501-mcp  
JSON: https://api.skillsregistry.net/v1/skills/xavier777501-mcp

## Description

Provides deterministic debugging tools for FastAPI/Python projects, enabling structured failure reports, code quality checks, and context packing.

## 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/opobe7upd1)
- **Repository:** <https://github.com/xavier777501/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": "xavier777501-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/xavier777501-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/xavier777501-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