# MegaLens

> MegaLens — ai-megalens-mcp. Use this tool when you need to streamline code review processes and identify potential issues by leveraging AI models from multiple sources. MegaLens solves problems of inconsistent feedback and lengthy review cycles by providing a comparative analysis of code quality, highlighting areas of agreement and disagreement between models. It takes in code submissions and outputs a detailed report of AI-driven feedback, making it ideal for developers and teams seeking to improve code quality and reduce errors.

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

## Description

Code review by AI models from different companies, usually two. Shows where they agree and disagree.

## Trust

- **Trust score (0–1):** 0.93
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/ai.megalens%2Fmcp)
- **Repository:** <https://github.com/megalens/mcp>

## Use it

MCP endpoint published by the skill: `https://megalens.ai/api/mcp`

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": "ai-megalens-mcp"
    }
  }
}
```

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