This runs against your modal account, so you will need to have a modal account and be logged in.
This runs against your modal account, so you will need to have a modal account and be logged in. That is what the modal mcp toolbox mcp server brings to an AI assistant: the same capability, reachable through the Model Context Protocol rather than a separate app or dashboard.
@smithery/cli on npm is all you need. Most clients run it directly, so configuration is a few lines and a restart.
The server publishes 4 tools. What each one is for:
run_python_code_in_sandbox — Let's you run python code in a sandboxed environmentgenerate_flux_image — Generate an image using the FLUX modelClaude — Got to Settings > Developer in the Claude Desktop App. And click on Edit ConfigGoose — Then add an extension like in the screenshot below. The important part is to set command to: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. Modal MCP Toolbox's toolset — run_python_code_in_sandbox, generate_flux_image, Claude and 1 more — is a fair guide to whether it matches your workflow. It is maintained by philipp-eisen; worth a glance at recent repository activity before you build anything load-bearing on it.
We check each listing at SyncDev against the project's documentation before it goes live — if something here drifts out of date, it is a bug worth reporting.
| Tool | What it does |
|---|---|
| run_python_code_in_sandbox | Let's you run python code in a sandboxed environment. |
| generate_flux_image | Generate an image using the FLUX model. |
| Claude | Got to Settings > Developer in the Claude Desktop App. And click on Edit Config. |
| Goose | Then add an extension like in the screenshot below. The important part is to set command to: |
{
"mcpServers": {
"modal-toolbox": {
"command": "uvx",
"args": ["modal-mcp-toolbox"]
}
}
}Configuration as documented by the project. Restart the client after saving.
Kill hallucinated APIs — version-accurate, up-to-date library documentation injected straight into context.
Microsoft's official browser automation server — drive a real browser through the accessibility tree, no screenshots needed.
GitHub's official server — repos, issues, pull requests, Actions and code security, straight from your assistant.
Issue tracking at the speed of conversation — Linear's official hosted server with OAuth and zero install.
Local repository surgery — status, diffs, commits, branches and history for any repo on disk.
Timezone sanity for AI — current time anywhere and correct conversions, without the model doing date math.