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CallGear 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 CallGear through 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 CallGear, 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 CallGear MCP Server

Connect your CallGear account to any AI agent and orchestrate your communication analytics, marketing attribution, and call tracking through natural conversation.

The Vercel AI SDK gives every CallGear tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 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

  • Call Performance Oversight — Retrieve detailed reports of all incoming and outgoing calls, including sources, durations, and statuses.
  • Marketing Attribution — Monitor advertising campaign performance and identify which sources are driving the most communications.
  • Communication Analysis — Get broader reports covering calls, chats, and other interactions to ensure service quality.
  • Infrastructure Coordination — Access and monitor your traffic sources, call scenarios, and tags directly from your workspace.
  • User & Team Oversight — List all users in your CallGear account to maintain visibility across your team.
  • Real-time Statistics — Retrieve daily site and campaign stats straight from your workspace.

The CallGear 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 CallGear to Vercel AI SDK via MCP

Follow these steps to integrate the CallGear 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 CallGear and passes them to the LLM

Why Use Vercel AI SDK with the CallGear MCP Server

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

03

Built-in streaming UI primitives let you display CallGear 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

CallGear + Vercel AI SDK Use Cases

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

01

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

02

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

03

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

04

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

CallGear MCP Tools for Vercel AI SDK (10)

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

01

get_account_info

Retrieve core account information

02

get_ad_campaigns_report

Retrieve daily aggregated statistics for advertising campaigns

03

get_calls_report

Retrieve a detailed report of calls for a specific period

04

get_communications_report

Retrieve a report covering various communication types (calls, chats, etc.)

05

get_site_daily_stats

Retrieve daily statistics for sites

06

list_ad_campaigns

List all advertising campaigns

07

list_call_scenarios

List all configured call scenarios

08

list_tags

List all call and communication tags

09

list_traffic_sources

List all traffic sources configured in CallGear

10

list_users

List all users in the CallGear account

Example Prompts for CallGear in Vercel AI SDK

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

01

"Show the calls report from March 1st to March 7th."

02

"Which advertising campaigns are active right now?"

03

"Show daily stats for my website for the last 3 days."

Troubleshooting CallGear MCP Server with Vercel AI SDK

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

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

CallGear + Vercel AI SDK FAQ

Common questions about integrating CallGear 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 CallGear to Vercel AI SDK

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