Bandwidth 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 Bandwidth 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 Bandwidth, 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 Bandwidth MCP Server
Connect your Bandwidth account to any AI agent and take full control of your cloud communications stack through natural conversation.
The Vercel AI SDK gives every Bandwidth 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.
O que você pode fazer
- Messaging — Instantly blast SMS and MMS (with rich media attachments) explicitly bypassing legacy SIP pipelines
- 10DLC Campaigns — Validate 10DLC TCR profiling and approve messaging rules preventing carrier filtering
- Toll-Free Verification — Ping upstream toll-free approval headers checking compliance dynamically
- Logs & Media — Iterate over messaging histories, clear cached media payloads, and ensure API health routing
Como funciona
1. Subscribe to this server
2. Enter your explicit Bandwidth Account ID, Username, and Password
3. Start dispatching text alerts, querying delivery footprints, or managing assets from Claude / Cursor
Scale unified communications reliably without building massive custom Webhook architectures. Your AI agent handles the underlying CPaaS native complexity.
Para quem é?
- Support Teams — dispatch priority outage SMS blasts instantly out of Slack interfaces tracking message receipts
- Marketing Operators — audit 10DLC campaign health routing ensuring promotional texts never face upstream filtering blocks
- DevOps Engineers — ping the telecom backbone executing structural health tests before system scaling
The Bandwidth 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 Bandwidth to Vercel AI SDK via MCP
Follow these steps to integrate the Bandwidth 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 Bandwidth and passes them to the LLM
Why Use Vercel AI SDK with the Bandwidth MCP Server
Vercel AI SDK provides unique advantages when paired with Bandwidth 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 Bandwidth integration everywhere
Built-in streaming UI primitives let you display Bandwidth 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
Bandwidth + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Bandwidth MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Bandwidth in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Bandwidth tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Bandwidth capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Bandwidth through natural language queries
Bandwidth MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect Bandwidth to Vercel AI SDK via MCP:
delete_media
Delete a stored media asset
get_campaign
Get details for a specific 10DLC campaign
get_health
Ping Bandwidth API Health
get_toll_free
List toll-free number verifications
list_applications
List Messaging Applications
list_campaigns
List 10DLC messaging campaigns
list_media
List uploaded media files in Bandwidth storage
list_messages
List sent or received messages log
send_mms
Send an MMS message with media payload
send_sms
Send an SMS message via Bandwidth API
Example Prompts for Bandwidth in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Bandwidth immediately.
"Send an SMS from our main line +15551234567 to +18889990000 saying 'The server outage is fully resolved. Thank you.'"
"List all uploaded media files on our account and delete any named 'old-marketing-promo.png'."
"Ping the Bandwidth API Health check."
Troubleshooting Bandwidth MCP Server with Vercel AI SDK
Common issues when connecting Bandwidth to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpBandwidth + Vercel AI SDK FAQ
Common questions about integrating Bandwidth 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 Bandwidth 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 Bandwidth to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.