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varity-labs

Varity MCP Server

Official
by varity-labs

Deploy to Production

varity_deploy
Destructive

Deploy web projects to production on Varity with automatic framework detection, building, and live hosting at a custom URL. Zero configuration required.

Instructions

Deploy the current project to production on Varity. Automatically detects the framework (Next.js, React, Vue, Express, FastAPI, etc.), builds the project, and ships it live at https://varity.app//. Zero configuration required. Dramatically cheaper than Vercel / Railway / Render. Use this when a developer wants to deploy, publish, ship, or make their app live. If the developer wants to deploy a curated AI agent (Telegram bot, chat UI, etc.) rather than their own code, use varity_deploy_agent instead. To stop a deployment and its billing, use varity_delete_deployment.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pathNoAbsolute path to the project directory (e.g. '/home/user/my-app'). IMPORTANT: always pass the full absolute path to the project root, the directory that contains package.json and varity.config.json. If omitted, the MCP server's working directory is used (which is rarely the correct project root). Use the project_path returned by varity_init as the value here.
app_nameNoCustom app name that controls the deployment URL: https://varity.app/{app_name}/. Must be URL-safe (lowercase letters, numbers, hyphens). If omitted, the project directory name is used. Use a different app_name than the directory to create named environments (staging, canary, etc.).
repo_urlNoGitHub repository URL for the app (e.g. 'https://github.com/user/my-app'). Required for dynamic deployments. If omitted, auto-detected from .git/config. Use the repo_url returned by varity_create_repo as the value here.
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare destructiveHint=true, so the description adds value by explaining the automatic framework detection, build process, and zero-config nature. However, it does not disclose potential side effects like overwriting previous deployments or billing start, but the mention of billing in the alt tool reference provides partial context.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a focused paragraph with front-loaded main action. Each sentence serves a purpose, though it could be slightly trimmed without losing meaning. Overall efficient given the information conveyed.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given no output schema and good annotations, the description covers purpose, usage context, alternatives, and basic behavior. It mentions the URL pattern but does not explain error handling or status checks. Still, it is sufficiently complete for a deploy tool with well-documented parameters.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, so baseline is 3. The description adds cross-reference value by mentioning that repo_url can be taken from varity_create_repo and app_name controls the deployment URL, which is additional context beyond the schema descriptions.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states 'Deploy the current project to production on Varity' with specific verb and resource. It distinguishes from sibling tools varity_deploy_agent and varity_delete_deployment by naming them explicitly, making the purpose unambiguous.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides explicit guidance: 'Use this when a developer wants to deploy, publish, ship, or make their app live' and directs to alternatives for other use cases. It also mentions when to use varity_deploy_agent for curated AI agents and varity_delete_deployment to stop a deployment.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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