Fidelizador MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 8 tools to Create Contact, Create Mailing List, Delete Contact, and more
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Fidelizador 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 App Connector for Vercel AI SDK
The Fidelizador app connector for Vercel AI SDK is a standout in the Marketing Automation category — giving your AI agent 8 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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 Fidelizador, 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 Fidelizador MCP Server
Connect your Fidelizador account to any AI agent and take full control of your email marketing and automation workflows through natural conversation.
The Vercel AI SDK gives every Fidelizador tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 8 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
- Audience Orchestration — List and manage your email contacts programmatically, including creating, updating, and deleting profiles directly from your agent
- Campaign Management — Monitor your active and past email campaigns and retrieve detailed performance statistics and metadata programmatically
- List Intelligence — Create and manage mailing lists (segmentations) to maintain a structured and high-fidelity organization of your audience
- Relational Integrity — Access complete contact directories and retrieve granular details like phone numbers and custom data points
- System Monitoring — Check campaign statuses and manage subscriber lifecycles directly through your agent for instant marketing reporting
The Fidelizador MCP Server exposes 8 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.
All 8 Fidelizador tools available for Vercel AI SDK
When Vercel AI SDK connects to Fidelizador through Vinkius, your AI agent gets direct access to every tool listed below — spanning audience-segmentation, loyalty-programs, personalized-campaigns, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Create a new contact
Create a new mailing list
Delete a contact
Get campaign details
List email campaigns
List contacts in Fidelizador
List mailing lists
Update an existing contact
Connect Fidelizador to Vercel AI SDK via MCP
Follow these steps to wire Fidelizador into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
npm install @ai-sdk/mcp ai @ai-sdk/openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the script
agent.ts and run with npx tsx agent.tsExplore tools
Why Use Vercel AI SDK with the Fidelizador MCP Server
Vercel AI SDK provides unique advantages when paired with Fidelizador 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 Fidelizador integration everywhere
Built-in streaming UI primitives let you display Fidelizador 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
Fidelizador + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Fidelizador MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Fidelizador in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Fidelizador tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Fidelizador capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Fidelizador through natural language queries
Example Prompts for Fidelizador in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Fidelizador immediately.
"List all my email campaigns in Fidelizador."
"Create a new contact 'John Doe' (john@example.com) in Fidelizador."
"Show me the details for campaign ID '101'."
Troubleshooting Fidelizador MCP Server with Vercel AI SDK
Common issues when connecting Fidelizador to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpFidelizador + Vercel AI SDK FAQ
Common questions about integrating Fidelizador 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.