CallFire 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 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 MCP SERVER
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 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 orchestrate your voice and SMS communications, campaign tracking, and contact engagement 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
- SMS Dispatch — Send single or bulk SMS messages to your customers directly from your workspace.
- Voice Call Management — Trigger individual voice calls and monitor the status of sent calls in real-time.
- Campaign Oversight — List and retrieve metadata for your campaign sounds and verify your communication setups.
- Keyword Management — List and monitor your rented keywords for SMS interaction.
- Automation Tracking — Access and monitor your active webhooks to ensure your integrations are healthy.
- Account Insights — Retrieve core profile and site information straight from your workspace.
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.
How to Connect CallFire to Vercel AI SDK via MCP
Follow these steps to integrate the CallFire 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 CallFire and passes them to the LLM
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
CallFire MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect CallFire to Vercel AI SDK via MCP:
get_account_info
Retrieve core account information
get_call_details
Get details of a specific call
get_sms_details
Get details of a specific SMS
list_calls
List made voice calls
list_campaign_sounds
List configured campaign sounds
list_keywords
List rented keywords
list_sent_sms
List sent SMS messages
list_webhooks
List active webhooks
send_sms
Send an SMS message
send_voice_call
Trigger a single voice call
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.
"Send an SMS to +1234567890 saying 'Hi from Vinkius'."
"List my last 5 voice calls in CallFire."
"Show the details for SMS with ID 99283."
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.Connect CallFire 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 CallFire to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.