AI Tools for Developers

by docker

388 stars

332 downloads

Not rated

GitHub Website

Other

About

Your trusted home for discovering MCP tools – seamlessly integrated into Docker

Details

Author: docker
GitHub stars: 388
Downloads: 332
Categories: Other

Setting up with Highlight

This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:

Download and install Highlight from highlightai.com/download
Navigate to the plugins tab and select "Add Custom Plugin"
Configure the plugin with the settings below

Plugin Name AI Tools for Developers

Command (node, npx, python, etc.)

Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
Enable "Start Automatically" if you want the plugin to start when Highlight launches

Setting up with Cursor

Open Cursor's settings
Navigate to the MCP section
Click "Add new Global MCP server"
Copy and paste the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "ai tools for developers": {
            "MCP_DOCKER": {
                "command": "docker",
                "args": [
                    "run",
                    "-i",
                    "--rm",
                    "alpine/socat",
                    "STDIO",
                    "TCP:host.docker.internal:8811"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "ai tools for developers": {
            "MCP_DOCKER": {
                "command": "docker",
                "args": [
                    "run",
                    "-i",
                    "--rm",
                    "alpine/socat",
                    "STDIO",
                    "TCP:host.docker.internal:8811"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "ai tools for developers": {
            "MCP_DOCKER": {
                "command": "docker",
                "args": [
                    "run",
                    "-i",
                    "--rm",
                    "alpine/socat",
                    "STDIO",
                    "TCP:host.docker.internal:8811"
                ]
            }
        }
    }
}

Setting up with Claude Desktop

Open Claude Desktop's settings
Go to the Integrations tab
Click "Add MCP Server"
Use the configuration below based on your operating system

Note: Make sure Claude Desktop is running before attempting to connect.

JSON

{
    "mcpServers": {
        "ai tools for developers": {
            "MCP_DOCKER": {
                "command": "docker",
                "args": [
                    "run",
                    "-i",
                    "--rm",
                    "alpine/socat",
                    "STDIO",
                    "TCP:host.docker.internal:8811"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "ai tools for developers": {
            "MCP_DOCKER": {
                "command": "docker",
                "args": [
                    "run",
                    "-i",
                    "--rm",
                    "alpine/socat",
                    "STDIO",
                    "TCP:host.docker.internal:8811"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "ai tools for developers": {
            "MCP_DOCKER": {
                "command": "docker",
                "args": [
                    "run",
                    "-i",
                    "--rm",
                    "alpine/socat",
                    "STDIO",
                    "TCP:host.docker.internal:8811"
                ]
            }
        }
    }
}

Setting up with Windsurf

Open Windsurf's preferences
Go to the Integrations section
Click "Add MCP Integration"
Use the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "ai tools for developers": {
            "MCP_DOCKER": {
                "command": "docker",
                "args": [
                    "run",
                    "-i",
                    "--rm",
                    "alpine/socat",
                    "STDIO",
                    "TCP:host.docker.internal:8811"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "ai tools for developers": {
            "MCP_DOCKER": {
                "command": "docker",
                "args": [
                    "run",
                    "-i",
                    "--rm",
                    "alpine/socat",
                    "STDIO",
                    "TCP:host.docker.internal:8811"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "ai tools for developers": {
            "MCP_DOCKER": {
                "command": "docker",
                "args": [
                    "run",
                    "-i",
                    "--rm",
                    "alpine/socat",
                    "STDIO",
                    "TCP:host.docker.internal:8811"
                ]
            }
        }
    }
}

Setting up with Cline

Open Cline's settings
Navigate to the Integrations section
Click "Add MCP Server"
Copy and paste the configuration below based on your operating system

Note: Make sure to restart Cline after adding the configuration.

JSON

{
    "mcpServers": {
        "ai tools for developers": {
            "MCP_DOCKER": {
                "command": "docker",
                "args": [
                    "run",
                    "-i",
                    "--rm",
                    "alpine/socat",
                    "STDIO",
                    "TCP:host.docker.internal:8811"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "ai tools for developers": {
            "MCP_DOCKER": {
                "command": "docker",
                "args": [
                    "run",
                    "-i",
                    "--rm",
                    "alpine/socat",
                    "STDIO",
                    "TCP:host.docker.internal:8811"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "ai tools for developers": {
            "MCP_DOCKER": {
                "command": "docker",
                "args": [
                    "run",
                    "-i",
                    "--rm",
                    "alpine/socat",
                    "STDIO",
                    "TCP:host.docker.internal:8811"
                ]
            }
        }
    }
}

Setting up with Goose

Open Goose's preferences
Go to the Integrations tab
Select "MCP Servers"
Click "Add New Server"
Use the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "ai tools for developers": {
            "MCP_DOCKER": {
                "command": "docker",
                "args": [
                    "run",
                    "-i",
                    "--rm",
                    "alpine/socat",
                    "STDIO",
                    "TCP:host.docker.internal:8811"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "ai tools for developers": {
            "MCP_DOCKER": {
                "command": "docker",
                "args": [
                    "run",
                    "-i",
                    "--rm",
                    "alpine/socat",
                    "STDIO",
                    "TCP:host.docker.internal:8811"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "ai tools for developers": {
            "MCP_DOCKER": {
                "command": "docker",
                "args": [
                    "run",
                    "-i",
                    "--rm",
                    "alpine/socat",
                    "STDIO",
                    "TCP:host.docker.internal:8811"
                ]
            }
        }
    }
}

From the repository

Install the VSCode extension or use the CLI docker run command. For MCP serve mode, pass the --mcp flag and register prompts using --register <git ref or path>. Set an OpenAI API key (or a dummy value for local models), then run the conversation loop in your editor or terminal.

Claude Desktop / Cursor

Paste into your MCP client config file to install this server.

{
    "mcpServers": {
        "ai tools for developers": {
            "MCP_DOCKER": {
                "command": "docker",
                "args": [
                    "run",
                    "-i",
                    "--rm",
                    "alpine/socat",
                    "STDIO",
                    "TCP:host.docker.internal:8811"
                ]
            }
        }
    }
}

McpServers

{
    "MCP_DOCKER": {
        "command": "docker",
        "args": [
            "run",
            "-i",
            "--rm",
            "alpine/socat",
            "STDIO",
            "TCP:host.docker.internal:8811"
        ]
    }
}

AI Tools for Developers

Agentic AI workflows enabled by Docker containers.

Just Docker. Just Markdown. BYOLLM.

MCP

Any prompts you write and their tools can now be used as MCP servers

Use serve mode with --mcp flag. Then, register prompts via git ref or path with --register <ref>

```sh

No reviews yet — be the first

Use Google, GitHub, or an email account so ratings stay tied to real people.

Email sign in

No reviews posted yet.

About

Details

Jump to

Setting up with Highlight

From the repository

Claude Desktop / Cursor

McpServers

AI Tools for Developers

MCP

Install

More like this

Sequential Thinking

Filesystem

EverArt

Google Drive

Reactive Resume

FastMCP v2 🚀