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Overview

Docker container-based MCP servers for maximum isolation.

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Usage

from upsonic import Task, Agent

# Docker-based MCP server
class DatabaseMCP:
    command = "docker"
    args = [
        "run",
        "--rm",
        "-i",
        "--network", "host",
        "your-mcp-server-image:latest"
    ]
    env = {
        "DATABASE_URL": "postgresql://localhost/mydb"
    }

# Create task
task = Task(
    description="Query the database and analyze results",
    tools=[DatabaseMCP]
)

# Create agent
agent = Agent(
    name="Database Agent",
    model="openai/gpt-4o"
)

# Execute
agent.print_do(task)

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Parameters

  • command (str): The command to run (“docker”)
  • args (List[str]): Docker run arguments including image name
  • env (Dict[str, str]): Environment variables to pass to container

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Requirements

  • Docker must be installed and running
  • MCP server Docker image must be available

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Characteristics

  • Maximum isolation and security
  • Consistent environment across systems
  • Easy deployment and versioning
  • Network and resource control