you need to learn MCP RIGHT NOW!! (Model Context Protocol)

Key Concepts:

• Model Context Protocol (MCP): A standardized way to give tools to LLMs.
• MCP Server: Abstracting away the complexity of API calls, handling the code needed for interaction.
• Docker: A platform for running applications in isolated containers.
• Docker MCP Toolkit: A Docker Desktop feature for managing MCP servers.
• Docker MCP Gateway: Enables remote access to MCP servers.
• Docker Secrets: A way to securely manage API keys and other sensitive information.
• LLM Clients: Applications that can connect to and use MCP servers (e.g., Cloud Desktop, LM Studio, Cursor).
• YAML: A human-readable data serialization language, used for configuration files.

1. Introduction to MCP

• MCP empowers AI to perform complex tasks by providing access to tools.
• Example: Connecting Claude to Obsidian vault, Brave, or Kali Linux.
• Goal: To create a Kali Linux MCP server for LLMs to perform hacking tasks.

2. The Problem with Traditional LLM Tool Access

• Giving LLMs access to tools is crucial for productivity but challenging.
• LLMs prefer text-based interactions over GUIs.
• Direct code access is often restricted.
• APIs are a potential solution, but require coding and are not standardized.
• API documentation can be complex, requiring significant coding effort for each interaction.

3. MCP as a Solution

• MCP provides a standardized way to give tools to LLMs, similar to how USB-C standardized cables.
• MCP servers abstract away the complexity of API calls.
• LLMs can simply ask the MCP server to perform tasks without needing to know the underlying code or API details.
• MCP is becoming an industry standard, allowing LLMs to connect to various applications.

4. Running MCP Servers Locally with Docker

• Docker Desktop is required for running MCP servers locally on Mac, Linux, or Windows.
• Docker MCP Toolkit simplifies the process of managing MCP servers.
• The Docker MCP catalog provides a selection of pre-built MCP servers.
• Example: Connecting to an Obsidian MCP server using an API key.
• LLMs can then use the tools exposed by the MCP server, such as creating notes or performing searches.
• Cloud Desktop, LM Studio, and Cursor are examples of LLM clients that can connect to Docker MCP servers.

5. Demonstration with Cloud Desktop, LM Studio, and Cursor

• Cloud Desktop (free) is used to demonstrate connecting to the Obsidian MCP server.
• LM Studio (local models) is used to run local LLMs and connect to MCP servers.
• Cursor is also shown as an LLM client that can connect to MCP servers.
• Example: Using LM Studio with the Gemma 312B model to find Japanese restaurants and create a note in Obsidian.
• Example: Using Cursor to grab the transcript of a YouTube video and summarize it in Obsidian.

6. Building Custom MCP Servers

• The "Network Chuck's MCP server build prompt" is used to guide LLMs in building custom MCP servers.
• Step-by-step process:
  1. Describe the desired MCP server functionality to the LLM.
  2. The LLM generates the necessary files (Dockerfile, requirements.txt, server.py, readme.md).
  3. Create a directory for the MCP server.
  4. Create the files using the LLM's output.
  5. Build the Docker container using docker build.
  6. Create a custom catalog YAML file.
  7. Edit the registry.yaml file to include the custom server.
  8. Edit the Cloud MCP server config to include the custom catalog.
  9. Restart Cloud.
• Example: Building a simple dice roller MCP server.
• Example: Building a Toggle MCP server to control time tracking using the Toggle API.

7. Building a Kali Linux Hacking MCP Server

• Goal: To create an MCP server that allows LLMs to perform hacking tasks using Kali Linux tools.
• The process involves running a Kali Linux container and exposing its tools through an MCP server.
• The LLM is prompted to create a Kali Linux MCP server with specific tools.
• The resulting Docker container can be used to perform tasks such as network scanning.
• Example: Using the Kali Linux MCP server to perform an nmap scan.

8. Understanding Docker MCP Gateway and Remote MCP Servers

• Docker MCP servers are not always running; they are spun up and down as needed.
• Remote MCP servers can be accessed by adding them to the LLM client's configuration file.
• Example: Adding a Coin Gecko MCP server to Cursor to retrieve cryptocurrency prices.

9. Docker Secrets

• Docker MCP gateway can help manage secrets, things like API keys and tokens.
• Keep that stuff out of your code and nestled safely inside Docker MCP secrets.

10. Conclusion

• MCP is a powerful tool for enabling LLMs to interact with various applications and perform complex tasks.
• Docker simplifies the process of running and managing MCP servers.
• Custom MCP servers can be built to meet specific needs.
• The combination of MCP, Docker, and LLMs opens up new possibilities for automation and AI-powered workflows.