SendCloud 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 SendCloud 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 SendCloud, 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 SendCloud MCP Server
Empower your AI agent to orchestrate your digital communication with SendCloud, the premier email and SMS service provider for enterprises. By connecting SendCloud to your agent, you transform complex mailing campaigns, template management, and contact list auditing into a natural conversation. Your agent can instantly send targeted emails, retrieve detailed delivery status, monitor mailing address lists, and even provide performance statistics without you ever needing to navigate the comprehensive SendCloud portal. Whether you are automating transactional notifications or coordinating large-scale marketing newsletters, your agent acts as a real-time communication assistant, keeping your messages accurate and your delivery reliable.
The Vercel AI SDK gives every SendCloud 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
- Email Orchestration — Send individual or template-based emails and retrieve real-time delivery status for auditing.
- Template Management — Browse and retrieve available email templates to maintain consistent branding across communications.
- Address List Control — Create, manage, and monitor mailing address lists and their members directly through the agent.
- Performance Insights — Retrieve high-level statistics on email delivery, open rates, and general performance metrics.
- Account Auditing — Access general account metadata and monitor your communication usage and limits.
The SendCloud 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 SendCloud to Vercel AI SDK via MCP
Follow these steps to integrate the SendCloud 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 SendCloud and passes them to the LLM
Why Use Vercel AI SDK with the SendCloud MCP Server
Vercel AI SDK provides unique advantages when paired with SendCloud 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 SendCloud integration everywhere
Built-in streaming UI primitives let you display SendCloud 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
SendCloud + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the SendCloud MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query SendCloud in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate SendCloud tools and return structured JSON responses to any frontend
Chatbots with tool use: embed SendCloud capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with SendCloud through natural language queries
SendCloud MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect SendCloud to Vercel AI SDK via MCP:
add_address_member
Add member to address list
create_address
Create address list
delete_address
Delete address list
get_email_status
Get email delivery status
get_stats
Get email statistics
get_user_info
Get account information
list_address_members
List address members
list_addresses
List mailing addresses
list_templates
List email templates
send_email
Send an email
Example Prompts for SendCloud in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with SendCloud immediately.
"Send a welcome email to 'mario@example.com' using the 'welcome-template'."
"Show me the performance stats for the last month."
"List all my mailing address lists."
Troubleshooting SendCloud MCP Server with Vercel AI SDK
Common issues when connecting SendCloud to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpSendCloud + Vercel AI SDK FAQ
Common questions about integrating SendCloud 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 SendCloud 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 SendCloud to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.