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Varity MCP server: deploy Node and Python apps, AI agents, and LLMs from Claude Code, Cursor, or Codex in one command. 6
The published Varity MCP package for Cursor, Claude Code, VS Code, Windsurf, and other MCP clients.
This repository contains only @varity-labs/mcp, the npm MCP server. It is a thin tool wrapper around varitykit and Varity's gateway APIs; it is not the Python CLI, the portal, the dormant SDK, or an app-store package.
The Varity MCP Server lets your AI editor build, deploy, and manage supported apps in production for you. Flat monthly cost per app, locked at deploy time based on hardware reserved — no usage-based billing, no surprise overages. One server, every AI client, zero commands.
Browser usage: see the browser usage guide for Claude.ai or ChatGPT browser. Quick start: pick your editor below and run one command.
Add to .cursor/mcp.json:
{
"mcpServers": {
"varity": {
"command": "npx",
"args": ["-y", "@varity-labs/mcp"]
}
}
}
claude mcp add varity -- npx -y @varity-labs/mcp
npx -y @varity-labs/mcpVarityAdd to mcp_config.json:
{
"mcpServers": {
"varity": {
"command": "npx",
"args": ["-y", "@varity-labs/mcp"]
}
}
}
The hosted process is reachable at:
https://mcp.varity.so
Hosted OAuth and per-user deployment authorization are not currently certified end to end. Do not use this endpoint for owner-scoped production operations yet; use the stdio package until the repository architecture's OAuth verification bar passes.
{
"mcpServers": {
"varity": {
"command": "npx",
"args": ["-y", "@varity-labs/mcp"]
}
}
}
The MCP exposes Varity's deploy surface so your AI tool can take action — not just generate code. Try prompts like:
Deploy your own code
Deploy a certified template (one command, no code required)
Manage live deployments
Migrate from Vercel
Docs and pricing
| Tool | What it does |
|---|---|
varity_search_docs | Search the Varity documentation |
varity_cost_calculator | Estimate your monthly cost before you deploy |
varity_doctor | Check that your environment is ready to deploy |
varity_login | Authenticate with your deploy key |
varity_install_deps | Install project dependencies |
varity_build | Build the project |
varity_open_browser | Open a URL locally (stdio transports only) |
varity_dev_server | Start the local development server (stdio transports only) |
varity_create_repo | Create a GitHub repository and push the project |
varity_deploy | Deploy the current project to production |
varity_deploy_status | Check the status of a deployment |
varity_deploy_logs | Read build and runtime logs |
varity_delete_deployment | Stop a deployment and end its billing |
varity_set_env | Set or replace environment variables on a live deployment, then redeploy |
varity_redeploy | Reapply an existing deployment's saved configuration; unchanged input may be a no-op |
varity_list_templates | List certified gateway-owned Varity templates |
varity_template_info | Show full details for one certified template |
varity_deploy_template | Deploy a certified template by ID |
varity_list_agents | Backward-compatible alias for varity_list_templates |
varity_agent_info | Backward-compatible alias for varity_template_info |
varity_deploy_agent | Backward-compatible alias for varity_deploy_template |
varity_migrate | Migrate an app from Vercel to Varity |
Varity templates come from the gateway-owned certified catalog. Ask your AI editor "what templates can I deploy?" or "deploy Agent Zero for me" and it will list the live catalog, inspect that template contract, and deploy it through varitykit app deploy --template <id>.
Each template reserves different hardware. Use varity_template_info to see the required environment variables, private/public access mode, resources, hardware profile, and certification state before deploying.
From empty folder to deployed app, all in natural language:
You: "Make me a simple landing page for my coffee shop and deploy it"
AI: Wrote the landing page, ran the build, deployed live at
https://varity.app/coffee-shop/
You: "Now deploy Agent Zero"
AI: Agent Zero is certified and does not require environment variables.
AI: Deployed Agent Zero at https://varity.app/my-agent/
Ask your AI editor "how much would this app cost on Varity?" and it will use varity_cost_calculator to estimate before you deploy.
For desktop AI editors. Cursor, Claude Code, VS Code, Windsurf.
npx -y @varity-labs/mcp
For browser-based AI tools. Claude.ai, ChatGPT.
npx -y @varity-labs/mcp --transport http --port 3100
The process is hosted at https://mcp.varity.so, but authenticated hosted use
is not currently certified. Use stdio for owner-scoped operations.
pip install varitykitVarity charges a flat monthly price per app, locked at deploy time based on the hardware reserved. Your bill doesn't grow with your traffic, requests, or build minutes. Use the varity_cost_calculator tool from your AI editor for a detailed estimate before you deploy.
Deploy supported apps from your AI coding tool. Flat predictable pricing — your bill stays the same as your app grows.
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