Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"mcp-checklists": {
"command": "<see-readme>",
"args": []
}
}
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We're a team of security and AI enthusiasts building MCP Manager, a comprehensive MCP security solution for businesses of all sizes.
In this repository we will publish a range of checklists, indexes, lessons learned and helpful utilities to help you adopt and use AI agents and MCP servers securely - without losing pace in the AI race.
⭐Star this repo to stay up to date and avoid missing that guide you know you'll need in the future!
We welcome contributions and suggestions - here's the instructions for contributing.
Installing and running MCP servers locally is equivalent to installing and running any other software on your computer. Locally running MCP servers have unlimited access to all your files, creating risks of data exfiltration, token theft, virus infection and propagation, or data encryption attacks (Ransomware).
Docker is a containerization solution that is free, open source, and widely supported across all major operating systems.
Running MCP servers inside Docker containers allows you to run them in a sandboxed environment that you have complete control over. You decide which files and folders to expose to the container, can define rules for HTTP and WebSocket traffic, and selectively expose environment variables instead of unintentionally leaking secrets.
Using Docker to containerize your MCP servers reduces security risks and gives you more control over what data and capabilities the server has access to. It's not a complete bulletproof solution, however, because if you're not careful, you can still give Docker containers running locally unfettered access to your VPN / private networks.