How to Use the Webex MCP in Vercel AI SDK
See Webex actions happen instantly in your UI using the Vercel AI SDK.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Webex MCP to Vercel AI SDK
Create your Vinkius account to connect Webex to Vercel AI SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Schedule and update meetings live
You call `create_video_meeting` to schedule a new Webex session, providing just a title and ISO 8601 timestamps. Need to change something? Use `update_meeting_schedule` with the meeting ID for any necessary changes. You can also list all scheduled calls using `list_scheduled_meetings`, which helps your frontend determine what needs updating before you call `get_meeting_details`.
Manage Webex collaboration spaces
To build out room functionality, the AI SDK lets you create a new space via `create_webex_room`, giving it a descriptive title. When cleanup is needed, you can use `delete_webex_room` to permanently wipe the whole history. Check existing rooms with `list_webex_rooms`. If you only need to modify the name of an existing space, just hit `update_room_title`.
Retrieve Webex resource information
The SDK gives your agent direct access to specific details. You can call `get_meeting_details` if you know the meeting ID, or use `get_room_details` for a space's history. It also lets you check what rooms belong to the user using `list_webex_rooms`, making it easy to feed context into your streamed UI.
Set up Webex MCP in Vercel AI SDK
Prerequisites
- Node.js 18+ and a TypeScript project
-
ai+@modelcontextprotocol/sdkpackages - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Run
npm install ai @modelcontextprotocol/sdkplus your preferred model provider (e.g.@ai-sdk/openai). - 2
Create the Streamable HTTP transport
Use
StreamableHTTPClientTransportwith your Vinkius endpoint URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. - 3
Discover and use tools
Call
mcpClient.tools()to auto-discover all Webex tools. Pass them directly togenerateText()orstreamText()— no manual schema definitions needed. - 4
Works with any model provider
Swap
openai("gpt-4o")for any AI SDK provider — Anthropic, Google, Mistral. The MCP tools work identically across all supported models.
import { experimental_createMCPClient as createMCPClient } from "ai";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
const transport = new StreamableHTTPClientTransport(
new URL("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
);
const mcpClient = await createMCPClient({ transport });
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "List recent Webex transactions",
});
console.log(text);
await mcpClient.close(); Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Webex. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
Why Choose Vinkius
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Real-time monitoring
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Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.
Built-in savings
60%
lower AI costs
Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.
Single dashboard
One
place for every integration
Every tool your AI connects to, managed from a single screen. One account, complete control.
Common questions about Webex MCP in Vercel AI SDK
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