# Multi-Server FastMCP PR Reviewer

> Multi-Server FastMCP PR Reviewer — amaimakhalidsethi-mcp-pr-reviewer. Use this tool when you need to streamline code review processes and automate GitHub operations. It provides a unified gateway for multi-server management, LangGraph-based PR review, and documentation generation, solving problems related to code analysis and workflow efficiency. Ideal for use cases involving large-scale codebases and collaborative development, it accepts code inputs and outputs analyzed results and generated documentation via free-tier APIs.

Canonical page: https://skillsregistry.net/skills/amaimakhalidsethi-mcp-pr-reviewer  
JSON: https://api.skillsregistry.net/v1/skills/amaimakhalidsethi-mcp-pr-reviewer

## Description

A zero-cost, multi-server MCP suite that provides a unified gateway and LangGraph-based automated PR-review agent, enabling code analysis, GitHub operations, and documentation generation via free-tier APIs.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** version-control
- **Updated:** 2026-08-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/x89nxi0l3b)
- **Repository:** <https://github.com/AmaimaKhalidSethi/MCP-PR-REVIEWER>

## 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": "amaimakhalidsethi-mcp-pr-reviewer"
    }
  }
}
```

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

---
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