Vapi MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Vapi through the Vinkius and every tool is available as a typed function — ready for React Server Components, API routes, or any Node.js backend.
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Vinkius supports streamable HTTP and SSE.
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 Vapi, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
main();
* 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 Vapi MCP Server
Connect your Vapi account to any AI agent and bring the power of automated voice communication into your standard conversational workspace.
The Vercel AI SDK gives every Vapi 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
- Phone Calling — Send commands instructing the agent to place outbound human-like phone calls and establish web ringing connections through Vapi's PSTN/WebRTC capabilities.
- Call Transcripts — Search through recent call logs, retrieve call details natively, and pull raw voice-to-text transcripts or conversation metrics.
- Persona Engineering — Ask your chat agent to build new Vapi assistants, update their system prompts, change its specific model, or mutate Voice IDs on the fly.
- Squad Routing — List available telephony numbers, tools, and multi-agent squads natively to configure advanced conversational pathways.
The Vapi 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 Vapi to Vercel AI SDK via MCP
Follow these steps to integrate the Vapi MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 10 tools from Vapi and passes them to the LLM
Why Use Vercel AI SDK with the Vapi MCP Server
Vercel AI SDK provides unique advantages when paired with Vapi through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime — same Vapi integration everywhere
Built-in streaming UI primitives let you display Vapi tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
Vapi + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Vapi MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Vapi in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Vapi tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Vapi capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Vapi through natural language queries
Vapi MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect Vapi to Vercel AI SDK via MCP:
create_assistant
Provide configuration for transcriber, model, and voice as a JSON string. Create a new Voice AI assistant persona
create_phone_call
Provide the phone number ID and customer details. Start a new outbound phone call via Vapi
create_web_call
Returns a web call configuration. Generate a new web-based voice call link
get_call_details
Retrieves details, transcripts, and metrics for a specific call
list_agent_tools
List all tools available to Vapi assistants
list_assistants
List all Voice AI assistants configured in Vapi
list_calls
List recent and active voice calls managed by Vapi
list_phone_numbers
List all phone numbers connected to Vapi
list_squads
List all multi-agent squads
update_assistant
Update an existing assistant configuration
Example Prompts for Vapi in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Vapi immediately.
"List all our configured Voice assistants and their IDs."
"Get the details and full transcript for call ID 'vapi1234'."
"Update assistant 'Bot Support' to change its `model.model` parameter to `gpt-4o-mini`."
Troubleshooting Vapi MCP Server with Vercel AI SDK
Common issues when connecting Vapi to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpVapi + Vercel AI SDK FAQ
Common questions about integrating Vapi MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.Connect Vapi with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Vapi to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.