Plivo 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 Plivo 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 Plivo, 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 Plivo MCP Server
Grant your AI agent the absolute capacity to bridge code into the global telecommunications network via Plivo. Circumvent visual dashboards entirely. You can instruct your personal LLM (Cursor, Claude) to dispatch real SMS text messages, bridge live VoIP calls across E.164 formats, or pull heavy financial billing limits proactively from the console.
The Vercel AI SDK gives every Plivo 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
- Live SMS Outbound — Instruct your bot to dynamically dispatch
send_smspayloads mapping precise strings to specific international destination variables without writing boilerplate bindings. - Voice Operations — Push strict XML logic routing into active PSTN grids. Initiate (
make_call), actively trace connection lengths (get_call), or vaporize stuck voice sessions (cancel_call). - Telecom Auditing — Dive into messaging analytics. Query
list_messagesextracting exact 5xx delivery failures, retrieving explicitly why a telecom carrier rejected the frame (get_message). - Inventory & Capacity — Force the agent to interrogate your account for its exact active DID numbers (
list_numbers), map VoIP registration footprints (list_endpoints), and monitor billing funds natively (get_account).
The Plivo 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 Plivo to Vercel AI SDK via MCP
Follow these steps to integrate the Plivo 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 Plivo and passes them to the LLM
Why Use Vercel AI SDK with the Plivo MCP Server
Vercel AI SDK provides unique advantages when paired with Plivo 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 Plivo integration everywhere
Built-in streaming UI primitives let you display Plivo 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
Plivo + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Plivo MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Plivo in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Plivo tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Plivo capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Plivo through natural language queries
Plivo MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect Plivo to Vercel AI SDK via MCP:
get_account_info
Get Plivo account details
get_call_details
Get specific call details
get_message_details
Get details for a specific message
list_calls
List recent voice calls
list_messages
List sent and received messages
list_plivo_numbers
List phone numbers in the account
list_sip_endpoints
List SIP endpoints
make_voice_call
Initiate an outbound voice call
send_sms
Send an SMS message
terminate_call
Hang up an active call
Example Prompts for Plivo in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Plivo immediately.
"Check Plivo account status and let me know my remaining wallet balance."
"Send an SMS message to `15551234567` from our main `15559876543` local number saying the servers are online."
"Check Plivo network to list all presently active voice phone calls."
Troubleshooting Plivo MCP Server with Vercel AI SDK
Common issues when connecting Plivo to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpPlivo + Vercel AI SDK FAQ
Common questions about integrating Plivo 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 Plivo 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 Plivo to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.