
PR Reviewer
A tool that integrates with GitHub and Notion to analyze and review pull requests, enabling automated code reviews and documentation in Notion.
README
PR Reviewer Setup Guide
This guide provides step-by-step instructions to set up the PR Reviewer project, which includes integrations with GitHub and Notion.
Prerequisites
curl
(for MacOS/Linux)- Python 3.x installed on your system
Setup Instructions
Step 1: Install uv
MacOS/Linux:
curl -LsSf https://astral.sh/uv/install.sh | sh
🔁 Restart your terminal afterwards to ensure that the
uv
command is available.
Step 2: Create and Set Up the Project
MacOS/Linux:
# Create a new directory for the project
uv init pr_reviewer
cd pr_reviewer
# Create and activate a virtual environment
uv venv
source .venv/bin/activate
# Install core dependencies
uv add "mcp[cli]" requests python-dotenv notion-client
Step 3: Create requirements.txt
and Install from It
Create a file called requirements.txt
with the following content:
# Core dependencies for PR Analyzer
requests>=2.31.0 # For GitHub API calls
python-dotenv>=1.0.0 # For environment variables
mcp[cli]>=1.4.0 # For MCP server functionality
notion-client>=2.3.0 # For Notion integration
Install the packages:
uv pip install -r requirements.txt
pip install -r requirements.txt
Step 4: Set Up Environment Variables
Create a .env
file in the root directory and add the following:
GITHUB_TOKEN=your_github_token
NOTION_API_KEY=your_notion_api_key
NOTION_PAGE_ID=your_notion_page_id
GitHub Token:
- Go to GitHub → Settings → Developer Settings → Personal Access Tokens.
- Click "Generate new token (classic)".
- Enable these scopes:
read:org
read:repo_hook
repo
- Copy and paste the token into your
.env
file asGITHUB_TOKEN
.
Notion Integration:
- Go to Notion Integrations.
- Click "New integration" and set the type to Internal.
- Add it to your workspace.
- Copy the Internal Integration Secret as
NOTION_API_KEY
. - Copy the UUID at the end of the integration URL as
NOTION_PAGE_ID
.
Step 5: Create the Main Script
Create an empty script file for your server logic:
touch pr_reviewer
Add your application logic inside this file.
Step 6: Run the Application
To run the project, make sure your environment is activated and .env
is configured:
python pr_reviewer.py
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.