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Channels MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 12 tools to Create Contact, Create Webhook, Delete Contact, and more

Built by Vinkius GDPR 12 Tools SDK

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

Use with Your AI Agent

Ask AI about this App Connector for Vercel AI SDK

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The Channels app connector for Vercel AI SDK is a standout in the Communication Messaging category — giving your AI agent 12 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

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 Channels, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
Channels
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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 Channels MCP Server

Connect your Channels (Channels.app) account to any AI agent and take full control of your cloud-based phone system and customer communication workflows through natural conversation.

The Vercel AI SDK gives every Channels tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 12 tools through 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

  • Contact Orchestration — Sync and manage your entire customer contact directory programmatically, including creating new records and retrieving high-fidelity profile metadata
  • Call Lifecycle Management — Monitor real-time incoming and outgoing call history and access high-fidelity recordings and metadata for every interaction
  • Performance Intelligence — Retrieve aggregate call statistics and performance metrics to understand your team's throughput and customer engagement
  • Team Coordination — Access directories of organization users to coordinate call routing and maintain an organized team structure directly through your agent
  • Operational Monitoring — Configure and manage real-time webhooks for call events and retrieve account-level metadata for instant operational reporting

The Channels MCP Server exposes 12 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.

All 12 Channels tools available for Vercel AI SDK

When Vercel AI SDK connects to Channels through Vinkius, your AI agent gets direct access to every tool listed below — spanning cloud-phone, call-tracking, live-chat, 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.

create_contact

Create a new contact

create_webhook

Create a new webhook

delete_contact

Delete a contact

get_account_info

Get account details

get_call_recording

Get call recording URL

get_call_stats

Get call statistics

get_contact

Get contact details

list_calls

List recent calls

list_contacts

List all customer contacts

list_users

List account users

list_webhooks

List configured webhooks

update_contact

Update an existing contact

Connect Channels to Vercel AI SDK via MCP

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

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 12 tools from Channels and passes them to the LLM

Why Use Vercel AI SDK with the Channels MCP Server

Vercel AI SDK provides unique advantages when paired with Channels 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 Channels integration everywhere

03

Built-in streaming UI primitives let you display Channels 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

Channels + Vercel AI SDK Use Cases

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

01

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

02

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

03

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

04

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

Example Prompts for Channels in Vercel AI SDK

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

01

"List all my customer contacts in Channels."

02

"Show the last 5 calls and their duration."

03

"Get the recording for call ID 'call_789'."

Troubleshooting Channels MCP Server with Vercel AI SDK

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

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Channels + Vercel AI SDK FAQ

Common questions about integrating Channels 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.