3,400+ MCP servers ready to use
Vinkius

Callpicker MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 9 tools to Get Call Details, Get Cdr Report, Get Pbx System Status, and more

Built by Vinkius GDPR 9 Tools SDK

The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Callpicker 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

Open in ChatGPT Open in Claude Open in Perplexity

The Callpicker app connector for Vercel AI SDK is a standout in the Communication Messaging category — giving your AI agent 9 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 Callpicker, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
Callpicker
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
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 Callpicker MCP Server

Connect your Callpicker account to any AI agent and take full control of your cloud-based business telephony and virtual PBX workflows through natural conversation.

The Vercel AI SDK gives every Callpicker tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 9 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 Orchestration — Programmatically initiate high-fidelity phone calls from your virtual PBX numbers to any destination worldwide directly through your agent
  • Communication Intelligence — Monitor real-time incoming and outgoing call history and retrieve detailed logs and high-fidelity Call Detail Records (CDR)
  • Recording Management — Access and retrieve secure download URLs for call recordings to maintain high-fidelity oversight of customer interactions
  • PBX & Extension Architecture — Access your complete directory of virtual phone numbers and PBX extensions to coordinate your internal communication structure
  • Operational Monitoring — Check real-time system status and generate performance reports over specific date ranges directly through your agent

The Callpicker MCP Server exposes 9 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 9 Callpicker tools available for Vercel AI SDK

When Vercel AI SDK connects to Callpicker through Vinkius, your AI agent gets direct access to every tool listed below — spanning cloud-pbx, call-recording, call-attribution, 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.

get_call_details

Get details for a specific call

get_cdr_report

Get Call Detail Records (CDR)

get_pbx_system_status

Check PBX system status

get_recording_url

Get the download URL for a recording

list_call_logs

List recent call logs

list_call_recordings

List available call recordings

list_pbx_extensions

List PBX extensions

list_virtual_numbers

List virtual phone numbers

make_call

Initiate a phone call

Connect Callpicker to Vercel AI SDK via MCP

Follow these steps to wire Callpicker 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 9 tools from Callpicker and passes them to the LLM

Why Use Vercel AI SDK with the Callpicker MCP Server

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

03

Built-in streaming UI primitives let you display Callpicker 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

Callpicker + Vercel AI SDK Use Cases

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

01

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

02

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

03

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

04

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

Example Prompts for Callpicker in Vercel AI SDK

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

01

"Initiate a call to '+1234567890' from my virtual number '+0987654321'."

02

"Show the last 5 call logs with duration and status."

03

"Get the download link for call recording ID '789'."

Troubleshooting Callpicker MCP Server with Vercel AI SDK

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

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Callpicker + Vercel AI SDK FAQ

Common questions about integrating Callpicker 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.