# ai-code-reviewer-mcp

> ai-code-reviewer-mcp — tamsi-ai-code-reviewer-mcp. Use this tool when you need to automate code reviews on GitHub, identifying bugs, security vulnerabilities, technical debt, and test coverage issues. It takes GitHub code repositories as input and outputs detailed review reports, leveraging the power of OpenAI-compatible large language models. Ideal for developers and teams seeking to improve code quality and maintainability.

Canonical page: https://skillsregistry.net/skills/tamsi-ai-code-reviewer-mcp  
JSON: https://api.skillsregistry.net/v1/skills/tamsi-ai-code-reviewer-mcp

## Description

MCP server for automated GitHub code review (bugs, security, tech debt, tests) powered by an OpenAI-compatible LLM.

## Trust

- **Trust score (0–1):** 0.89
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/Tamsi/ai-code-reviewer-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": "tamsi-ai-code-reviewer-mcp"
    }
  }
}
```

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