Vercel

Frontend deployments managed through AI conversations with Vercel

Your AI agent deploys code to Vercel, attaches custom domains, rotates environment variables, and retrieves deployment logs, all within a single conversation. Engineering teams ship faster when infrastructure operations happen in the same place they communicate. No dashboard switching, no CLI context changes.

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Deployment operations your agent handles

From creating projects to inspecting Edge Configs, your AI agent turns Vercel's full platform API into conversational commands that engineering teams can execute instantly.

Create New Deployments

Tell the agent to deploy and it creates a new Vercel deployment from files, a Git commit, or an existing deployment ID. Specify the target environment, project settings, and Git source in the same message. Production ships happen mid-conversation.

Manage Custom Domains

Your agent adds custom domains to Vercel projects, sets up redirects with proper HTTP status codes, and triggers DNS verification. Domain configuration that normally requires multiple dashboard visits completes in a single chat exchange.

Configure Environment Variables

The agent adds, lists, and removes environment variables across production, preview, and development targets. Variables can be scoped to specific Git branches, encrypted for security, or marked sensitive so values are never readable after creation.

Inspect Deployment Logs

When a deployment fails or behaves unexpectedly, the agent pulls build logs and runtime events with status code filtering. Engineers diagnose issues conversationally instead of scrolling through dashboard log streams.

Manage Edge Configs

Your agent creates Edge Configs, updates key-value items, and manages access tokens for Vercel's edge data store. Feature flags, A/B test assignments, and runtime configuration changes propagate globally through conversation commands.

List Projects and Teams

The agent retrieves all projects and teams accessible to the authenticated user with search filtering and pagination. New team members discover existing infrastructure immediately without hunting through bookmarks or asking colleagues.

Vercel

Use Cases

Ship faster through conversation

See how engineering teams use AI agents with Vercel to deploy code, manage infrastructure, and resolve incidents without leaving their communication channels.

Production Deployment from a Chat Message

A developer merges a feature branch and messages the agent to deploy. Your AI Agent creates a new Vercel deployment from the latest Git commit on main, targets production, and monitors the build. Within minutes, the agent reports the deployment URL and confirms all checks passed. The developer shares the live link with stakeholders in the same conversation thread.

Environment Variable Rotation Before a Release

A security engineer needs to rotate an API key before the next deployment. Your AI Agent lists current environment variables for the project, deletes the old key, and adds the new encrypted value scoped to production and preview environments. The rotation completes in under a minute without anyone accessing the Vercel dashboard directly.

Domain Setup for a New Product Launch

A product team is launching a new microsite and needs a custom domain attached. Your AI Agent adds the domain to the Vercel project, configures a 301 redirect from the www variant, and triggers DNS verification. The agent reports verification status and confirms the domain is live, all while the team continues planning the launch in the same chat.

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FAQs

Frequently Asked Questions

What Vercel operations can the AI agent perform?

The agent covers deployments (create, list, delete, inspect logs, check status), projects (create, update, delete, list), domains (add, verify, remove, list), environment variables (add, list, delete across environments), Edge Configs (create, update items, manage tokens), teams, aliases, and authentication tokens. Over 40 distinct API operations are available.

Can the agent deploy from a GitHub repository?

Yes. The agent supports Git-source deployments by specifying the GitHub repository ID, branch, and optionally a specific commit SHA. The Vercel GitHub integration must be installed in your account first. The agent handles both file-based and Git-based deployments.

How does the agent handle sensitive environment variables?

The agent supports three variable types: plain for non-sensitive values, encrypted for standard secrets visible to project users, and sensitive for values that become non-readable once created and are only decrypted during builds. You specify the type when adding variables.

Can the agent manage deployments across multiple teams?

Yes. Every operation accepts an optional teamId or team slug parameter. The agent can list your teams, then scope any subsequent operation to a specific team. This makes multi-team deployment management straightforward through conversation.

Does Tars store Vercel deployment data?

No. Tars queries the Vercel API in real time during conversations. Deployment details, logs, and configuration data are fetched live. No project data, source code, or environment variables are cached on Tars servers.

What authentication does the Vercel integration require?

You provide a Vercel Access Token generated from your account settings under Settings > Tokens. The token is sent as a Bearer token in the Authorization header. Scoped tokens can limit access to specific teams or projects for tighter security.

Can the agent check domain availability and pricing?

Yes. The agent can check if a domain is available for registration through Vercel and retrieve its price. Vercel supports 500+ TLDs including .com, .io, .dev, .app, and .ai. The agent reports availability and cost before you commit to a purchase.

How is this different from using the Vercel CLI?

The Vercel CLI requires a local terminal session and developer setup. The Tars integration brings the same capabilities into any communication channel where your team already works. Non-developers can trigger deployments, check statuses, and manage domains through natural language without installing tooling.

How to add Tools to your AI Agent

Supercharge your AI Agent with Tool Integrations

Don't limit your AI Agent to basic conversations. Watch how to configure and add powerful tools making your agent smarter and more functional.

Privacy & Security

We’ll never let you lose sleep over privacy and security concerns

At Tars, we take privacy and security very seriously. We are compliant with GDPR, ISO, SOC 2, and HIPAA.

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