Superserve Sandbox logo

Superserve Sandbox

Organization
superserve-ai

Sandbox infrastructure for AI Agents

Publishersuperserve-ai
Repositorysuperserve
LanguageTypeScript
Forks
54
Stars
462
Available tools
0
Transport typestdio
Categories
Cloud Infrastructure
LicenseApache-2.0
Links
GitHubHomepage
  • Connect tools to AI workflows

    Superserve Sandbox exposes MCP capabilities that can be used by compatible AI clients and agents.

  • 0 available tools

    Browse the callable actions below, including names and descriptions when provided by the server.

  • Ready-to-copy setup

    Use the installation snippets to configure this server in your preferred MCP client.

  • Open source signals

    462 stars and 54 forks from the linked repository.

Docs License

Getting Started

Visit superserve.ai or jump straight into the docs.

Structure

apps/
  console/                 # Sandbox dashboard (Next.js 16, App Router)
  ui-docs/                 # UI component docs (Vite)
packages/
  cli/                     # TypeScript CLI (@superserve/cli)
  python-sdk/              # Python SDK (superserve on PyPI)
  sdk/                     # TypeScript SDK (@superserve/sdk)
  ui/                      # Shared UI components (@superserve/ui)
  typescript-config/       # Shared tsconfig presets
  tailwind-config/         # Shared Tailwind config
docs/                      # Mintlify documentation site
tests/                     # SDK end-to-end tests

Monorepo managed with Bun workspaces, Turborepo, and uv workspaces.

Setup

bash
bun install               # install all JS/TS dependencies
uv sync                   # install all Python dependencies

Development

bash
bun run dev               # start all dev servers
bun run build             # build all packages
bun run lint              # lint all packages
bun run format            # format all files
bun run typecheck         # type check all packages
bun run test              # unit/integration tests

For more (per-package targets, dependency management, etc.), see CONTRIBUTING.md.

SDKs

Full reference at docs.superserve.ai.

Testing

bash
bun run test                                        # unit tests (no credentials)
SUPERSERVE_API_KEY=ss_live_... bun run test:e2e     # e2e against staging

For environment overrides and single-language runs, see CONTRIBUTING.md.

Releasing

See RELEASING.md for publishing the SDKs to npm and PyPI.

Contributing

Contributions welcome — see CONTRIBUTING.md for guidelines.

License

Apache License 2.0 — see LICENSE.

Where to find us

Use Superserve Sandbox MCP with multiple AI models

TypingMind connects MCP tools at the workspace level, so once Superserve Sandbox is connected, you can use it with different AI models in TypingMind instead of setting it up separately for each model. This MCP runs locally through the TypingMind MCP connector on your device.

Setup guide to use the local connector

Use this when the MCP server needs access to local files, apps, or private resources on your computer.

1

Open the MCP settings

In TypingMind, go to Settings, Advanced Settings, then Model Context Protocol and choose Setup Connector.

  1. Open TypingMind in your browser.
  2. Click the Settings icon.
  3. Go to Advanced Settings.
  4. Open the Model Context Protocol section.
  5. Click Setup Connector and choose This Device.
TypingMind MCP connector setup screen with This Device selected
2

Run the connector command

Choose This Device, copy the command from TypingMind, and run it in Terminal. Keep the process running while you use MCP.

  1. Copy the setup command shown by TypingMind.
  2. Open Terminal on macOS or Windows Terminal on Windows.
  3. Paste and run the command.
  4. Approve the package install if Terminal asks you to proceed.
  5. Keep the Terminal window running while using MCP tools.
3

Add Superserve Sandbox as a server

When the connector status is Ready, click Edit Servers and paste the MCP server configuration.

  1. Wait until the connector status shows Ready.
  2. Click Edit Servers.
  3. Paste the Superserve Sandbox MCP server configuration.
  4. Save the server list.
  5. Refresh if you want to confirm the connector is still ready.
TypingMind MCP settings showing active server and Edit Servers button
{
  "mcpServers": {
    "superserve-ai-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "<mcp-server-package>"
      ]
    }
  }
}
4

Use it across models

Save the server list, open Plugins, enable the Superserve Sandbox MCP tools, then select any supported AI model in TypingMind and use the tools in chat or assign them to an AI agent.

  1. Open the Plugins page in TypingMind.
  2. Enable the Superserve Sandbox MCP tools.
  3. Start a chat and choose the AI model you want to use.
  4. Use the MCP tools in chat or assign them to an AI agent.
  5. Switch to another AI model whenever needed without reconnecting MCP.
TypingMind chat using enabled MCP tools with a selected AI model
Can you use Superserve Sandbox to help me with this task?
Superserve Sandbox
Sure. I read it.
Here is what I found using Superserve Sandbox.

Frequently asked questions

What is the Superserve Sandbox MCP server used for?

Superserve Sandbox is an MCP server that lets compatible AI clients connect to external tools and context. In TypingMind, you can add this MCP server once and make its tools available in your AI workspace.

Can I use Superserve Sandbox MCP with multiple AI models in TypingMind?

Yes. TypingMind connects MCP tools at the workspace level, so you can use Superserve Sandbox with different AI models such as Claude, ChatGPT, Gemini, or other models you have configured in TypingMind without setting up the MCP server separately for each model.

Why use Superserve Sandbox MCP with TypingMind?

TypingMind is one of the best frontends for LLM chat because it brings multiple AI models, prompts, plugins, AI agents, API keys, and MCP tools into one workspace. With Superserve Sandbox connected, you can use its MCP tools across your preferred models while keeping your chat workflow organized in TypingMind.

How do I connect Superserve Sandbox MCP to TypingMind?

Superserve Sandbox runs through the TypingMind local MCP connector. This is best when the MCP server needs access to local files, desktop apps, command-line tools, or private resources on your computer.

What tools does Superserve Sandbox MCP provide in TypingMind?

Superserve Sandbox exposes MCP capabilities that can be enabled from the TypingMind Plugins page and used in chat or assigned to AI agents.

Do I need to share my API keys with TypingMind to use Superserve Sandbox MCP?

No. TypingMind is local-first and lets you keep your model providers, API keys, prompts, and MCP configuration under your control. If Superserve Sandbox requires authentication, add the required headers, OAuth settings, or local configuration for that MCP server when you create the connection.

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