# Multi-Agent MCP Server

> Use this tool when you need to automate codebase review and documentation generation, and integrate AI workflows with existing systems. It solves problems of manual code review and documentation, providing efficient and accurate outputs through specialized AI agents. The tool takes in codebases and AI workflow inputs, generating reviewed and documented code as output, ideal for use in development and deployment contexts.

Canonical page: https://skillsregistry.net/skills/arpit-moga-vibechecker  
JSON: https://api.skillsregistry.net/v1/skills/arpit-moga-vibechecker

## Description

Automates codebase review and documentation generation using specialized AI agents, integrating with MCP for AI workflows and Smithery for deployment.

## Trust

- **Trust score (0–1):** 0.56
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** devops-ci
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/zgqk4wrrgi)
- **Repository:** <https://github.com/Arpit-Moga/Vibechecker>

## 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": "arpit-moga-vibechecker"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/arpit-moga-vibechecker` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/arpit-moga-vibechecker/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