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devcontainer-mcp

aniongithub/devcontainer-mcp
21STDIOregistry active
Summary

Gives AI agents the ability to spin up, manage, and execute commands inside dev containers without contaminating your local environment. Exposes 46 MCP tools across three backends: local Docker via the devcontainer CLI, multi-cloud environments through DevPod, and GitHub Codespaces. The auth broker handles GitHub, AWS, Azure, GCP, and Kubernetes credentials without exposing raw tokens to the agent. You get lifecycle operations (up, stop, delete, build), SSH command execution, file operations (read, write, edit, list), and container introspection. Useful when you want your agent to build, test, or deploy in isolated, reproducible environments defined by devcontainer.json specs, whether that's on your machine, a cloud VM, or Codespaces.

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Categories
Developer Tools
Registryactive
Packagehttps://github.com/aniongithub/devcontainer-mcp/releases/download/v0.38/devcontainer-mcp-linux-x64.tar.gz
TransportSTDIO
UpdatedJun 6, 2026
View on GitHub

devcontainer-mcp

CI Website

Give your AI agent its own dev environment — not yours.

devcontainer-mcp is an MCP server that lets AI coding agents create, manage, and work inside dev containers across three backends: local Docker, DevPod, and GitHub Codespaces. The agent builds, tests, and ships code in an isolated container — your laptop stays clean.

devcontainer-mcp local Docker demo

Works with GitHub Copilot, Claude, Cursor, opencode, and any MCP-compatible client.

The Problem

When AI agents write code, they need to run it somewhere. Today that means your host machine:

  • 🔴 Host contamination — agents install packages, modify PATH, leave behind build artifacts
  • 🔴 "Works on my machine" — agents assume your local toolchain matches production
  • 🔴 No isolation — one project's dependencies break another
  • 🔴 Security risk — agents run arbitrary commands with your user privileges
  • 🔴 Hardware constraints — you're limited to your local machine's resources

The Solution

The devcontainer spec already defines reproducible, container-based dev environments. Every major project ships a .devcontainer/devcontainer.json. But AI agents can't use them — until now.

devcontainer-mcp exposes 45 MCP tools that let any AI agent:

  1. Spin up a dev container from any repo — locally, on a cloud VM, or in Codespaces
  2. Run commands inside the container — builds, tests, linting, anything
  3. Manage the lifecycle — stop, restart, delete when done
  4. Authenticate against cloud providers — GitHub, AWS, Azure, GCP — without ever seeing a raw token
Agent: "Let me build this project..."
  → auth_status("github") → picks account
  → codespaces_create(auth: "github-you", repo: "your/repo")
  → codespaces_ssh(auth: "github-you", codespace: "...", command: "cargo build")
  → ✅ Built in the cloud. Your laptop did nothing.

Quick Install

devcontainer-mcp install demo

Linux / macOS

curl -fsSL https://raw.githubusercontent.com/aniongithub/devcontainer-mcp/main/install.sh | bash

Windows (via WSL)

Invoke-RestMethod https://github.com/aniongithub/devcontainer-mcp/releases/latest/download/install.ps1 | Invoke-Expression

How it works: The binary runs inside WSL; MCP clients on Windows launch it via wsl ~/.local/bin/devcontainer-mcp serve. The stdio transport works transparently across the WSL boundary. WSL 2 is required — install it with wsl --install if you haven't already.

Backend CLIs (devpod, devcontainer, gh) are detected at runtime — if one is missing, the MCP server returns a helpful error with install instructions.

Binaries available for linux-x64, linux-arm64, darwin-x64, and darwin-arm64.

Architecture

graph TD
    A[AI Agent / MCP Client] -->|stdio JSON-RPC| B[devcontainer-mcp]
    
    subgraph "devcontainer-mcp"
        B --> C[33 MCP Tools]
        C --> D[Auth Broker]
        C --> E[devcontainer-mcp-core]
    end
    
    D -->|opaque handles| C
    E -->|subprocess| F[DevPod CLI]
    E -->|subprocess| G[devcontainer CLI]
    E -->|subprocess| H[gh CLI]
    E -->|bollard API| I[Docker Engine]
    
    F --> J[Docker / K8s / Cloud VMs]
    G --> K[Local Docker]
    H --> L[GitHub Codespaces]

Three Backends, One Interface

devcontainer-mcp Codespaces demo

BackendBest forRequiresAuth needed?
devcontainer CLI (devcontainer_*)Local Docker — fast, simple@devcontainers/cli + DockerNo
DevPod (devpod_*)Multi-cloud: Docker, K8s, AWS, Azure, GCPDevPod CLIOptional (cloud providers)
Codespaces (codespaces_*)GitHub-hosted cloud environmentsgh CLIYes (auth handle)

Auth Broker

The agent never sees raw tokens. Instead:

  1. auth_status(provider) — list available accounts and scopes
  2. auth_login(provider, scopes?) — initiate login, opens browser, handles device codes
  3. auth_select(id) — switch the active account
  4. auth_logout(id) — revoke credentials

Codespaces tools require an auth handle (e.g. "github-aniongithub"). The MCP server resolves it to the real token on each call via the CLI's native keyring.

Supported providers: GitHub, AWS, Azure, GCP, Kubernetes

MCP Tools (46 total)

Auth (4 tools)

ToolDescription
auth_statusCheck auth for a provider — returns handles, accounts, scopes
auth_loginInitiate login or refresh scopes — browser + device code flow
auth_selectSwitch the active account for a provider
auth_logoutRevoke credentials for an account

DevPod (19 tools)

ToolDescription
devpod_upCreate and start a workspace from a git URL, local path, or image
devpod_stopStop a running workspace
devpod_deleteDelete a workspace and its resources
devpod_buildBuild a workspace image without starting it
devpod_statusGet workspace state (Running, Stopped, Busy, NotFound)
devpod_listList all workspaces with IDs, sources, providers, and status
devpod_sshExecute a command inside a workspace via SSH
devpod_logsGet workspace logs
devpod_provider_listList all configured providers
devpod_provider_addAdd a new provider
devpod_provider_deleteRemove a provider
devpod_context_listList all contexts
devpod_context_useSwitch to a different context
devpod_container_inspectDocker inspect — labels, ports, mounts, state
devpod_container_logsStream container logs via Docker API
devpod_file_readRead file content with optional line range
devpod_file_writeCreate or overwrite a file (auto-creates parent dirs)
devpod_file_editSurgical string replacement — old_str → new_str
devpod_file_listList directory contents (non-hidden, 2 levels deep)

devcontainer CLI (12 tools)

ToolDescription
devcontainer_upCreate and start a local dev container
devcontainer_execExecute a command inside a running dev container
devcontainer_buildBuild a dev container image
devcontainer_read_configRead merged devcontainer configuration as JSON
devcontainer_list_configsDiscover all devcontainer.json files in a workspace (single + multi-container)
devcontainer_stopStop a dev container (via Docker API)
devcontainer_removeRemove a dev container and its resources
devcontainer_statusGet dev container state by workspace folder
devcontainer_file_readRead file content with optional line range
devcontainer_file_writeCreate or overwrite a file (auto-creates parent dirs)
devcontainer_file_editSurgical string replacement — old_str → new_str
devcontainer_file_listList directory contents (non-hidden, 2 levels deep)

GitHub Codespaces (11 tools) — require auth handle

ToolDescription
codespaces_createCreate a new codespace for a repository
codespaces_listList your codespaces with state and machine info
codespaces_sshExecute a command inside a codespace via SSH
codespaces_stopStop a running codespace
codespaces_deleteDelete a codespace
codespaces_viewView detailed codespace info (state, machine, config)
codespaces_portsList forwarded ports with visibility and URLs
codespaces_file_readRead file content with optional line range
codespaces_file_writeCreate or overwrite a file (auto-creates parent dirs)
codespaces_file_editSurgical string replacement — old_str → new_str
codespaces_file_listList directory contents (non-hidden, 2 levels deep)

MCP Server Configuration

Linux / macOS

{
  "mcpServers": {
    "devcontainer-mcp": {
      "command": "devcontainer-mcp",
      "args": ["serve"]
    }
  }
}

Windows (WSL bridge)

{
  "mcpServers": {
    "devcontainer-mcp": {
      "command": "wsl",
      "args": ["~/.local/bin/devcontainer-mcp", "serve"]
    }
  }
}

Prerequisites

Install backend CLIs as needed — the MCP server detects them at runtime and returns helpful errors if missing:

  • devcontainer CLI: npm install -g @devcontainers/cli + Docker
  • DevPod: DevPod CLI + Docker (or another provider)
  • Codespaces: GitHub CLI — auth is handled by the auth_login tool

Self-Healing

When devcontainer_up, devpod_up, or codespaces_create fails, the full build output (including errors) is returned to the agent. The agent can read the error, fix the Dockerfile or devcontainer.json, and retry — making the dev environment a dynamic, agent-managed asset rather than a static prerequisite.

Multi-container workspaces

The devcontainer spec supports connecting to multiple containers in one workspace by placing per-service configs at .devcontainer/<name>/devcontainer.json, each pointing at a shared docker-compose.yml. devcontainer-mcp supports this pattern end-to-end:

  • Discovery — devcontainer_list_configs returns every config it finds (root .devcontainer.json, .devcontainer/devcontainer.json, and each .devcontainer/*/devcontainer.json) with its kind (image / dockerfile / compose), service name, and absolute path.
  • Targeting — Every devcontainer tool (up, exec, build, stop, remove, status, read_config, file_*) accepts an optional config parameter pointing at a specific devcontainer.json. Single-container workflows continue to work unchanged — config defaults to whatever the devcontainer CLI auto-detects.
  • Ambiguity handling — When a workspace has multiple configs and no config is provided, lookup-style tools (status, exec, stop, remove, file_*) return a structured Ambiguous result listing every matching container so the agent can pick the right one. status reports this as {"state":"Ambiguous","candidates":[...],"hint":"..."}.
  • Robust container matching — Sibling compose containers are identified via com.docker.compose.service + com.docker.compose.project.config_files (not the unreliable devcontainer.local_folder label, which is only stamped on the first container).

Development

This project eats its own dogfood — development happens inside its own devcontainer.

# Using the devcontainer CLI
devcontainer up --workspace-folder .
devcontainer exec --workspace-folder . cargo build --workspace
devcontainer exec --workspace-folder . cargo test --workspace
devcontainer exec --workspace-folder . cargo build --release -p devcontainer-mcp

# Or using DevPod
devpod up . --id devcontainer-mcp --provider docker --open-ide=false
devpod ssh devcontainer-mcp --command "cd /workspaces/devcontainer-mcp && cargo build --workspace"

CI/CD

  • Pull Requests — cargo check, cargo test, cargo clippy, cargo fmt run automatically
  • Releases — Creating a GitHub release builds binaries for all 4 platforms

License

MIT

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