# MCP PR Recommender

> Use this tool when you need to streamline your code review process by automatically generating logically-grouped pull requests with informative titles and descriptions. The MCP PR Recommender analyzes git changes to detect optimal PR boundaries, saving time and reducing manual effort. It provides output in the form of suggested pull requests with accompanying rationale, making it ideal for use during code development and review cycles.

Canonical page: https://skillsregistry.net/skills/manavgup-mcp-pr-recommender  
JSON: https://api.skillsregistry.net/v1/skills/manavgup-mcp-pr-recommender

## Description

Intelligent PR boundary detection and recommendation system that analyzes git changes to generate atomic, logically-grouped pull request suggestions with titles, descriptions, and rationale.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** version-control
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/oqzv4zlohp)
- **Repository:** <https://github.com/manavgup/mcp_pr_recommender>

## 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": "manavgup-mcp-pr-recommender"
    }
  }
}
```

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