Can I see if a specific deployment failed using the AI?

Yes! Use the `get_deployment_info` tool with the Deployment ID. Your agent will retrieve the current state, and if it's 'ERROR', it will show you the deployment details.

How do I add a new API Key to a project via AI?

Use the `add_environment_variable` action. Provide the project name/ID, the key name, and the value. You can also specify the type as 'secret' or 'sensitive'.

Is it possible to list all domains linked to my account?

Absolutely. Use the `list_account_domains` query to retrieve a complete list of all domains registered or configured within your Vercel account.

INSTANT PLUG AND PLAY

Vercel MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 11 tools to Add Vercel Environment Variable, Create Vercel Deployment, Delete Vercel Deployment, and more

Name: Vercel
Availability: InStock
Author: Vinkius

Built by Vinkius GDPR 11 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Vercel through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

Use with Your AI Agent

Ask AI about this App Connector for OpenAI Agents SDK

Open in ChatGPT Open in Claude Open in Perplexity

The Vercel app connector for OpenAI Agents SDK is a standout in the Loved By Devs category — giving your AI agent 11 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

python

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="Vercel Assistant",
            instructions=(
                "You help users interact with Vercel. "
                "You have access to 11 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Vercel"
        )
        print(result.final_output)

asyncio.run(main())

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Vercel MCP Server

Connect your Vercel account to any AI agent and simplify how you manage your cloud infrastructure, frontend deployments, and serverless projects through natural conversation.

The OpenAI Agents SDK auto-discovers all 11 tools from Vercel through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Vercel, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

What you can do

Project Management — List all projects in your account or team and retrieve detailed configuration metadata.
Deployment Control — Track build history, check deployment status (READY, ERROR, BUILDING), and trigger new builds or delete old records.
Domain Configuration — List all registered domains and link custom domains to specific projects instantly.
ENV Management — List and create environment variables for your projects to manage secrets and configurations safely.
Team Visibility — Query accessible teams and retrieve your user profile details to understand your permissions.

The Vercel MCP Server exposes 11 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 11 Vercel tools available for OpenAI Agents SDK

When OpenAI Agents SDK connects to Vercel through Vinkius, your AI agent gets direct access to every tool listed below — spanning frontend-deployment, serverless-functions, edge-computing, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

add_vercel_environment_variable

Add a new environment variable

create_vercel_deployment

Create a new deployment

delete_vercel_deployment

Delete a specific deployment

get_vercel_deployment_info

Get details for a specific deployment

get_vercel_project_details

Get details for a specific project

get_vercel_user_profile

Get current user profile

list_vercel_account_domains

List all account domains

list_vercel_deployments

List recent deployments

list_vercel_project_env_vars

List environment variables

list_vercel_projects

List all Vercel projects

list_vercel_teams

List accessible Vercel teams

Connect Vercel to OpenAI Agents SDK via MCP

Follow these steps to wire Vercel into OpenAI Agents SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

Install the SDK

Run pip install openai-agents in your Python environment

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Run the script

Save the code above and run it: python agent.py

Explore tools

The agent will automatically discover 11 tools from Vercel

Why Use OpenAI Agents SDK with the Vercel MCP Server

OpenAI Agents SDK provides unique advantages when paired with Vercel through the Model Context Protocol.

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

Vercel + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Vercel MCP Server delivers measurable value.

Automated workflows: build agents that query Vercel, process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents. one queries Vercel, another analyzes results, a third generates reports

Data enrichment pipelines: stream data through Vercel tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query Vercel to resolve tickets, look up records, and update statuses without human intervention

Example Prompts for Vercel in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Vercel immediately.

"List all active projects in my Vercel team."

"Show me the status of the latest deployment for 'vinkius-app'."

"Add the environment variable 'DB_PASSWORD' to the project 'api-gateway'."

Troubleshooting Vercel MCP Server with OpenAI Agents SDK

Common issues when connecting Vercel to OpenAI Agents SDK through the Vinkius, and how to resolve them.

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Vercel + OpenAI Agents SDK FAQ

Common questions about integrating Vercel MCP Server with OpenAI Agents SDK.

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.

Can I use multiple MCP servers in one agent?

Yes. Pass a list of MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.

Does the SDK support streaming responses?

Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.