scalattice
Sign in, create API keys, print OpenAI-compatible env vars, and check credits from the terminal. Optional MCP mode for AI coding agents with tools for credits, models, and environment.
README
<p align="center"> <img src="https://raw.githubusercontent.com/scalattice/scalattice-cli/main/media/earth.png" alt="Scalattice developer CLI" width="100%" /> </p>
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-cli
Quick start
scalattice setup
eval "$(scalattice init)"
scalattice credits
Then 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 |
|---|---|
scalattice setup |
Magic-code login → developer profile → create API key → print exports |
scalattice login / logout |
Session only |
scalattice keys list / keys create |
Manage API keys |
scalattice init |
Print export OPENAI_BASE_URL=... and OPENAI_API_KEY=... |
scalattice credits |
GET /v1/credits (wallet + model grants) |
scalattice whoami |
Show config paths / what’s stored |
scalattice mcp |
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 --help
License
MIT
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.
E2B
Using MCP to run code via e2b.