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Webex MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 Tools SDK

The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Webex through the Vinkius and every tool is available as a typed function — ready for React Server Components, API routes, or any Node.js backend.

Vinkius supports streamable HTTP and SSE.

typescript
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

async function main() {
  const mcpClient = await createMCPClient({
    transport: {
      type: "http",
      // Your Vinkius token — get it at cloud.vinkius.com
      url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    },
  });

  try {
    const tools = await mcpClient.tools();
    const { text } = await generateText({
      model: openai("gpt-4o"),
      tools,
      prompt: "Using Webex, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
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* 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 Webex MCP Server

Connect your Cisco Webex account to any AI agent and manage your enterprise collaboration through natural conversation.

The Vercel AI SDK gives every Webex tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 tools through the Vinkius and stream results progressively to React, Svelte, or Vue components — works on Edge Functions, Cloudflare Workers, and any Node.js runtime.

What you can do

  • Space Management — List all Webex rooms (spaces) you belong to and create new collaboration areas with ease
  • Meeting Lifecycle — Schedule new video meetings, update existing schedules, or cancel sessions directly from your agent
  • Collaboration Insights — Retrieve full details for rooms and meetings, including join URLs, dial-in numbers, and precise timing
  • Team Organization — Rename existing spaces or permanently delete obsolete rooms to keep your workspace organized
  • Deep Discovery — Quickly find unique room and meeting UUIDs required for automated collaboration workflows
  • Real-Time Auditing — Monitor your calendar for upcoming scheduled meetings and verify your participation status

The Webex MCP Server exposes 10 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Webex to Vercel AI SDK via MCP

Follow these steps to integrate the Webex MCP Server with Vercel AI SDK.

01

Install dependencies

Run npm install @ai-sdk/mcp ai @ai-sdk/openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the script

Save to agent.ts and run with npx tsx agent.ts

04

Explore tools

The SDK discovers 10 tools from Webex and passes them to the LLM

Why Use Vercel AI SDK with the Webex MCP Server

Vercel AI SDK provides unique advantages when paired with Webex through the Model Context Protocol.

01

TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box

02

Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime — same Webex integration everywhere

03

Built-in streaming UI primitives let you display Webex tool results progressively in React, Svelte, or Vue components

04

Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency

Webex + Vercel AI SDK Use Cases

Practical scenarios where Vercel AI SDK combined with the Webex MCP Server delivers measurable value.

01

AI-powered web apps: build dashboards that query Webex in real-time and stream results to the UI with zero loading states

02

API backends: create serverless endpoints that orchestrate Webex tools and return structured JSON responses to any frontend

03

Chatbots with tool use: embed Webex capabilities into conversational interfaces with streaming responses and tool call visibility

04

Internal tools: build admin panels where team members interact with Webex through natural language queries

Webex MCP Tools for Vercel AI SDK (10)

These 10 tools become available when you connect Webex to Vercel AI SDK via MCP:

01

create_video_meeting

Provide a title and ISO 8601 start/end timestamps. Schedules a new Webex video meeting

02

create_webex_room

Provide a descriptive title for the room. Creates a new Webex space

03

delete_scheduled_meeting

This action is irreversible. Permanently cancels and deletes a scheduled Webex meeting

04

delete_webex_room

This action is irreversible and removes all history for the room. Permanently deletes a Webex room

05

get_meeting_details

Retrieves details for a specific Webex meeting

06

get_room_details

Retrieves details for a specific Webex room

07

list_scheduled_meetings

Lists scheduled Webex meetings

08

list_webex_rooms

Lists all Webex rooms (spaces) the authenticated user belongs to

09

update_meeting_schedule

Provide the meeting ID and the updated fields. Updates the time or title of an existing Webex meeting

10

update_room_title

Provide the room ID and the new title. Updates the title of an existing Webex room

Example Prompts for Webex in Vercel AI SDK

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

01

"List all my Webex rooms."

02

"Schedule a meeting called 'Q1 Strategy' for tomorrow from 10:00 to 11:00 AM."

03

"What meetings do I have scheduled for today?"

Troubleshooting Webex MCP Server with Vercel AI SDK

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

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Webex + Vercel AI SDK FAQ

Common questions about integrating Webex MCP Server with Vercel AI SDK.

01

How does the Vercel AI SDK connect to MCP servers?

Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.
02

Can I use MCP tools in Edge Functions?

Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.
03

Does it support streaming tool results?

Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.

Connect Webex to Vercel AI SDK

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.