MCP for devcontainers
MCP Devcontainers MCP server is a locally run integration for AI assistants that speak the Model Context Protocol. MCP for devcontainers.
The MCP Devcontainers is a Model Context Protocol (MCP) server that provides a simple integration with the devcontainers cli.
Once MCP Devcontainers is connected, these are the calls the assistant has available:
devcontainer_up — Path to the workspace folder (string, required)devcontainer_run_user_commands — Path to the workspace folder (string, required)devcontainer_exec — Path to the workspace folder (string, required)Setup follows the usual MCP pattern — install or clone the server, register it in your client's configuration file, restart the client. The configuration blocks on this page cover the common clients.
This sits in the developer tooling group, where several servers overlap in what they claim to do but differ sharply once you actually set them up. MCP Devcontainers's toolset — devcontainer_up, devcontainer_run_user_commands, devcontainer_exec — is a fair guide to whether it matches your workflow. It is maintained by crunchloop; worth a glance at recent repository activity before you build anything load-bearing on it.
This entry was verified against MCP Devcontainers's own documentation before publication; SyncDev keeps the directory reviewed rather than auto-generated.
| Tool | What it does |
|---|---|
| devcontainer_up | Path to the workspace folder (string, required) |
| devcontainer_run_user_commands | Path to the workspace folder (string, required) |
| devcontainer_exec | Path to the workspace folder (string, required) |
{
"mcpServers": {
"devcontainers": {
"command": "npx",
"args": [
"-y",
"@crunchloop/mcp-devcontainers"
]
}
}
}Configuration as documented by the project. Restart the client after saving.
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