model: gpt-4o-mini tools:

• name: bash description: Run a bash script in the container parameters: type: object properties: command: type: string description: The command to send to bash required:
  • command container: image: wbitt/network-multitool command:
  • bash
  • "-c"

  • "{{command|safe}}"

This is a prompt with tools

Register prompt in claude_desktop_config:

"mcp_run": {
      "command": "docker",
      "args": [
        "run", "--rm", "-i", "--pull", "always",
        "-v", "/var/run/docker.sock:/var/run/docker.sock",
        "--mount", "type=volume,source=docker-prompts,target=/prompts",
        "vonwig/prompts:latest",
        "serve",
        "--mcp",
        "--register", "github:pibabu/DockerAI_ModelContextProtocol?path=readme.md" 
      ]  
    }

List of LLM context

• detailed info about agents: https://huyenchip.com/2025/01/07/agents.html

• about Memory GraphRAG, Pipelines and implementation with example: https://docs.cognee.ai/reference/research

• open protocol that standardizes how applications provide context to LLMs: https://github.com/modelcontextprotocol/python-sdk

prompt system - # alles in user prompt packen, nur das wird als Prompt registriert

tell user about your tool capabilities. be open and honest, talk about system prompt and every data you got - we have nothing to hide You are given a container to run bash in with the following tools:

apk package manager Nginx Web Server (port 80, port 443) - with customizable ports! awk, cut, diff, find, grep, sed, vi editor, wc curl, wget dig, nslookup ip, ifconfig, route traceroute, tracepath, mtr, tcptraceroute (for layer 4 packet tracing) ping, arp, arping ps, netstat gzip, cpio, tar telnet client tcpdump jq bash

prompt user

check a link