AI Tools for Developers

@docker

About AI Tools for Developers

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

Config

Add this server to your MCP-compatible client using the configuration below.

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

Tools

No tools detected

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is AI Tools for Developers?

AI Tools for Developers is a deprecated Docker‑based system that enables agentic AI workflows by combining Dockerized tools, Markdown prompts, and an LLM of your choice. It allowed developers to write complex workflows in Markdown and run them in their editor, terminal, or any environment via Docker. The repository is now replaced by the integrated MCP Toolkit in Docker Desktop.

How to use AI Tools for Developers?

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.

Key features of AI Tools for Developers

Dockerized tools for sandboxed execution
Markdown as the workflow language
Conversation loop with automatic error correction
Multi‑model agents using different LLMs
Project‑first design with context extraction
MCP server support with prompt registration

Use cases of AI Tools for Developers

Automating software development tasks with AI assistants
Creating multi‑agent workflows that combine frontier and local models
Running repeatable, version‑controlled prompts across projects
Extracting structured context from source code repositories
Experimenting with agentic workflows in VSCode or the CLI

FAQ from AI Tools for Developers

Is AI Tools for Developers still maintained?

No. This repository is deprecated and no longer under active development. Please use the integrated MCP Toolkit in Docker Desktop instead.

How do I start the MCP server?

Launch the tool with the serve subcommand and the --mcp flag. Then register prompts using --register github:<ref> or --register /local/path.

What runtime environment is required?

Docker Desktop must be running. An OpenAI API key (or a dummy value for local models) is required. For CLI use, mount the Docker socket and the API key file as shown in the README.

Can I use local LLMs with AI Tools for Developers?

Yes. The system supports multiple models; you can use a dummy API key for local models and configure each prompt to run with a different model family.

How do I run prompts in VSCode?

Install the VSCode extension, set an OpenAI API key via the >Docker AI: Set OpenAI API Key command, select a target project, and run >Docker AI: Run Prompt.

Frequently asked questions

Is AI Tools for Developers still maintained?

No. This repository is deprecated and no longer under active development. Please use the integrated MCP Toolkit in Docker Desktop instead.

How do I start the MCP server?

Launch the tool with the `serve` subcommand and the `--mcp` flag. Then register prompts using `--register github:<ref>` or `--register /local/path`.

What runtime environment is required?

Docker Desktop must be running. An OpenAI API key (or a dummy value for local models) is required. For CLI use, mount the Docker socket and the API key file as shown in the README.

Can I use local LLMs with AI Tools for Developers?

Yes. The system supports multiple models; you can use a dummy API key for local models and configure each prompt to run with a different model family.

How do I run prompts in VSCode?

Install the VSCode extension, set an OpenAI API key via the `>Docker AI: Set OpenAI API Key` command, select a target project, and run `>Docker AI: Run Prompt`.

Comments

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