Clickatell 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 Clickatell through the 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 Clickatell, 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 Clickatell MCP Server
Connect your Clickatell account to any AI agent and take full control of your global mobile messaging workflows through natural conversation.
The Vercel AI SDK gives every Clickatell tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 tools through the 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 natively with support for E.164 formatting and Unicode payloads
- Delivery Tracking — Perform structural extraction of properties driving final carrier statuses to confirm your messages reached cellular towers
- Account Management — Monitor your available API balance and check international network coverage for specific numbers
- Campaign Monitoring — List scheduled text blasts and audit delivery timings strictly within Clickatell limits
- Inbound Reply Rules — Create and manage keyword-based reply rules and webhooks to automate two-way messaging flows
The Clickatell 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 Clickatell to Vercel AI SDK via MCP
Follow these steps to integrate the Clickatell 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 Clickatell and passes them to the LLM
Why Use Vercel AI SDK with the Clickatell MCP Server
Vercel AI SDK provides unique advantages when paired with Clickatell 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 Clickatell integration everywhere
Built-in streaming UI primitives let you display Clickatell 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
Clickatell + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Clickatell MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Clickatell in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Clickatell tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Clickatell capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Clickatell through natural language queries
Clickatell MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect Clickatell to Vercel AI SDK via MCP:
cancel_queued_message
Irreversibly vaporize explicit SMS blocks deleting scheduled drops
dispatch_bulk_sms
164 boundaries optimizing Clickatell pipeline bandwidth directly avoiding API lag. Identify bounded routing spaces bridging concurrent SMS arrays
dispatch_sms_message
164 natively. Provision a massively scalable JSON Payload rendering outbound SMS natively over Clickatell
get_account_balance
Retrieve explicit Cloud metrics tracing active Funding Limits
get_delivery_status
Perform structural extraction of properties driving final Carrier statuses
list_inbound_rules
Enumerate explicitly attached structured rules traversing MO bounds
list_scheduled_campaigns
Identify precise active arrays spanning Marketing boundaries
test_carrier_coverage
Dispatch an automated validation check routing MSISDN routes
upsert_inbound_rule
Bootstrap an entirely empty structural parsing block allocating Webhooks
wipe_inbound_rule
Obliterate mapped HTTP Logic bounds avoiding legacy routing
Example Prompts for Clickatell in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Clickatell immediately.
"Send SMS to +1234567890: 'Your order #987 is ready for pickup!'"
"What is my current Clickatell account balance?"
"Check delivery status for message ID msg_789"
Troubleshooting Clickatell MCP Server with Vercel AI SDK
Common issues when connecting Clickatell to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpClickatell + Vercel AI SDK FAQ
Common questions about integrating Clickatell 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 Clickatell 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 Clickatell to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.