AI Tools for Developers

by docker

388 332 downloads Not rated yet Apache-2.0

About

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

Details

License
Apache-2.0

Explore

- 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

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:

  1. Download and install Highlight from highlightai.com/download
  2. Navigate to the plugins tab and select "Add Custom Plugin"
  3. 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.

  4. Enable "Start Automatically" if you want the plugin to start when Highlight launches

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.

Agentic AI workflows enabled by Docker containers.

Just Docker. Just Markdown. BYOLLM.

dockerized tools

OpenAI API compatiable LLM's already support tool calling. We believe these tools could just be Docker images. Some of the benefits using Docker based on our research are enabling the LLM to:
- take more complex actions
- get more context with fewer tokens
- work across a wider range of environments
- operate in a sandboxed environment

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"
        ]
    }
}

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

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