Seamlessly integrate your OpenAI applications with Vercel using Klavis AI's comprehensive MCP server connection guide.
Vercel is a cloud platform for static sites and serverless functions that enables developers to host websites and web services. Deploy projects, manage domains, configure environment variables, and monitor deployments with ease
Follow these steps to connect OpenAI to this MCP server
Sign up for KlavisAI to access our MCP server management platform.
Add the MCP server to OpenAI and configure authentication settings.
Verify your connections work correctly and start using your enhanced AI capabilities.
import json
import os
from openai import OpenAI
from klavis import Klavis
from klavis.types import McpServerName, ConnectionType, ToolFormat
# Initialize clients
openai_client = OpenAI(api_key=os.getenv("OPENAI_API_KEY"))
klavis_client = Klavis(api_key=os.getenv("KLAVIS_API_KEY"))
# Constants
OPENAI_MODEL = "gpt-4o-mini"
vercel_mcp_instance = klavis_client.mcp_server.create_server_instance(
server_name=McpServerName.VERCEL,
user_id="1234",
connection_type=ConnectionType.STREAMABLE_HTTP,
)
mcp_tools = klavis_client.mcp_server.list_tools(
server_url=vercel_mcp_instance.server_url,
connection_type=ConnectionType.STREAMABLE_HTTP,
format=ToolFormat.OPENAI,
)
messages = [
{"role": "system", "content": "You are a helpful assistant."},
{"role": "user", "content": user_message}
]
response = openai_client.chat.completions.create(
model=OPENAI_MODEL,
messages=messages,
tools=mcp_tools if mcp_tools else None
)
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