CallFire MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 10 tools to Get Call, Get Campaign, Get Contact, and more
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect CallFire through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
Ask AI about this App Connector for Vercel AI SDK
The CallFire app connector for Vercel AI SDK is a standout in the Communication Messaging category — giving your AI agent 10 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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 CallFire, 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 CallFire MCP Server
Connect your CallFire account to any AI agent and manage your voice and SMS communication workflows through natural conversation.
The Vercel AI SDK gives every CallFire 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
- Contact Management — List all contacts and retrieve individual contact profiles with phone numbers and metadata
- Call Tracking — Browse all inbound and outbound calls with duration, status, and call recording details
- SMS History — Review sent and received text messages with delivery status and timestamps
- Campaign Monitoring — List all broadcast campaigns (voice and text) and inspect individual campaign configurations and performance
- Webhook Management — View all configured webhooks and inspect their delivery settings and event triggers
The CallFire 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.
All 10 CallFire tools available for Vercel AI SDK
When Vercel AI SDK connects to CallFire through Vinkius, your AI agent gets direct access to every tool listed below — spanning sms-marketing, voice-broadcast, call-tracking, 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 a specific call
Get a specific broadcast campaign
Get a specific contact
Get a specific text message
Get a specific webhook
List all calls
List all broadcast campaigns
List all contacts
List all text messages
List all webhooks
Connect CallFire to Vercel AI SDK via MCP
Follow these steps to wire CallFire into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
npm install @ai-sdk/mcp ai @ai-sdk/openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the script
agent.ts and run with npx tsx agent.tsExplore tools
Why Use Vercel AI SDK with the CallFire MCP Server
Vercel AI SDK provides unique advantages when paired with CallFire 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 CallFire integration everywhere
Built-in streaming UI primitives let you display CallFire 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
CallFire + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the CallFire MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query CallFire in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate CallFire tools and return structured JSON responses to any frontend
Chatbots with tool use: embed CallFire capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with CallFire through natural language queries
Example Prompts for CallFire in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with CallFire immediately.
"Show me all active broadcast campaigns and their delivery rates."
"List all text messages sent in the last 24 hours and highlight any that failed delivery."
"How many contacts do I have and are there any with missing phone numbers?"
Troubleshooting CallFire MCP Server with Vercel AI SDK
Common issues when connecting CallFire to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpCallFire + Vercel AI SDK FAQ
Common questions about integrating CallFire 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.