CallRail 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 CallRail through 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 CallRail, 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 CallRail MCP Server
Connect your CallRail account to any AI agent and orchestrate your call tracking, lead management, and marketing attribution workflows through natural conversation.
The Vercel AI SDK gives every CallRail 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 Oversight — List all tracked phone calls and retrieve detailed metadata, including durations, tracking numbers, and statuses.
- Lead Management — Access leads generated via web forms and monitor their conversion journey directly from your workspace.
- Company Coordination — List and retrieve detailed profiles for all companies and clients managed within the account.
- Tracker Oversight — Monitor all active tracking numbers and their respective sources to ensure data accuracy.
- User & Team Management — Access your directory of users and agents to maintain visibility across your organization.
- Alert Monitoring — Retrieve and monitor active account alerts to stay on top of critical issues.
The CallRail 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 CallRail to Vercel AI SDK via MCP
Follow these steps to integrate the CallRail 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 CallRail and passes them to the LLM
Why Use Vercel AI SDK with the CallRail MCP Server
Vercel AI SDK provides unique advantages when paired with CallRail 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 CallRail integration everywhere
Built-in streaming UI primitives let you display CallRail 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
CallRail + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the CallRail MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query CallRail in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate CallRail tools and return structured JSON responses to any frontend
Chatbots with tool use: embed CallRail capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with CallRail through natural language queries
CallRail MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect CallRail to Vercel AI SDK via MCP:
get_account_info
Retrieve core account information
get_call_details
Get details of a specific phone call
get_company_details
Get details of a specific company
list_alerts
List active account alerts
list_calls
List all tracked phone calls
list_companies
List all companies associated with the account
list_form_submissions
List leads generated via web forms
list_tags
List all lead and call tags
list_trackers
List all tracking numbers and sources
list_users
List all users in the account
Example Prompts for CallRail in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with CallRail immediately.
"List all my calls from today in CallRail."
"Show the details for form submission with ID 99283."
"List all the companies in my CallRail account."
Troubleshooting CallRail MCP Server with Vercel AI SDK
Common issues when connecting CallRail to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpCallRail + Vercel AI SDK FAQ
Common questions about integrating CallRail 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 CallRail 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 CallRail to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.