KalyankumarKonduru MCP test

KalyankumarKonduru MCP test avatar

by KalyankumarKonduru

What is KalyankumarKonduru MCP test

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:

  1. Go to GitHub → Settings → Developer Settings → Personal Access Tokens.
  2. Click "Generate new token (classic)".
  3. Enable these scopes:
    • read:org
    • read:repo_hook
    • repo
  4. Copy and paste the token into your .env file as GITHUB_TOKEN.

Notion Integration:

  1. Go to Notion Integrations.
  2. Click "New integration" and set the type to Internal.
  3. Add it to your workspace.
  4. Copy the Internal Integration Secret as NOTION_API_KEY.
  5. 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

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Frequently Asked Questions

What is MCP?

MCP (Model Context Protocol) is an open protocol that standardizes how applications provide context to LLMs. Think of MCP like a USB-C port for AI applications, providing a standardized way to connect AI models to different data sources and tools.

What are MCP Servers?

MCP Servers are lightweight programs that expose specific capabilities through the standardized Model Context Protocol. They act as bridges between LLMs like Claude and various data sources or services, allowing secure access to files, databases, APIs, and other resources.

How do MCP Servers work?

MCP Servers follow a client-server architecture where a host application (like Claude Desktop) connects to multiple servers. Each server provides specific functionality through standardized endpoints and protocols, enabling Claude to access data and perform actions through the standardized protocol.

Are MCP Servers secure?

Yes, MCP Servers are designed with security in mind. They run locally with explicit configuration and permissions, require user approval for actions, and include built-in security features to prevent unauthorized access and ensure data privacy.

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