scalattice
OfficialClick on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@scalatticecheck my credits"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Scalattice CLI
Sign in, create a developer API key, print OpenAI-compatible env vars, and check credits - from the terminal. Optional MCP mode for AI coding agents.
Product: scalattice.com/cli · npm: scalattice-cli · Cloud docs: developers#cli · Installer: scalattice.cloud/install/cli
Install
# Paste-friendly
curl -fsSL https://scalattice.cloud/install/cli | sh
# Or with npm (Node 18+)
npm install -g scalattice-cliRelated MCP server: Modal MCP Server
Quick start
scalattice setup
eval "$(scalattice init)"
scalattice creditsThen use any OpenAI SDK:
from openai import OpenAI
client = OpenAI() # uses OPENAI_BASE_URL + OPENAI_API_KEY
print(client.models.list())Commands
Command | What it does |
| Magic-code login → developer profile → create API key → print exports |
| Session only |
| Manage API keys |
| Print |
|
|
| Show config paths / what’s stored |
| MCP stdio server for Cursor / Claude Desktop |
Config: ~/.config/scalattice/config.json (mode 0600).
Env overrides: SCALATTICE_CLOUD_URL, SCALATTICE_API_URL, SCALATTICE_API_KEY, SCALATTICE_SESSION_TOKEN.
MCP (optional)
MCP is not a second install. After scalattice setup:
{
"mcpServers": {
"scalattice": {
"command": "scalattice",
"args": ["mcp"]
}
}
}Tools: scalattice_credits, scalattice_models, scalattice_env.
Develop
git clone https://github.com/scalattice/scalattice-cli.git
cd scalattice-cli
node bin/scalattice.js --helpLicense
MIT
This server cannot be installed
Maintenance
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