# AI Peer Review MCP Server

> Use this tool when you need to enhance the quality and accuracy of local language model responses through real-time peer review feedback from Google Gemini. It solves problems of response incompleteness and inaccuracy by enabling AI collaboration and feedback. The tool takes local language model outputs as input and returns improved responses with enhanced quality, accuracy, and completeness.

Canonical page: https://skillsregistry.net/skills/xyehya-ai-peer-review-mcp  
JSON: https://api.skillsregistry.net/v1/skills/xyehya-ai-peer-review-mcp

## Description

Enables local language models to request real-time peer review feedback from Google Gemini to improve response quality, accuracy, and completeness through AI collaboration.

## Trust

- **Trust score (0–1):** 0.93
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/wvqx4udmbh)
- **Repository:** <https://github.com/xyehya/ai-peer-review-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": "xyehya-ai-peer-review-mcp"
    }
  }
}
```

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