3,400+ MCP servers ready to use
Vinkius

MagicDrip MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 12 tools to Add Linkedin Lead, Check Api Health, Get Account Outreach Stats, and more

Built by Vinkius GDPR 12 Tools SDK

The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect MagicDrip 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 MagicDrip app connector for Vercel AI SDK is a standout in the Industry Titans category — giving your AI agent 12 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

typescript
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 MagicDrip, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
MagicDrip
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 MagicDrip MCP Server

Connect your MagicDrip (magicdrip.com) account to any AI agent and take full control of your LinkedIn sales orchestration and automated outreach through natural conversation. MagicDrip provides a powerful platform for scaling B2B social selling, and this integration allows you to retrieve lead metadata, trigger automated connection requests, and monitor campaign performance directly from your chat interface.

The Vercel AI SDK gives every MagicDrip tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 12 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

  • Lead & Prospect Orchestration — List all managed leads and retrieve detailed profile metadata programmatically to ensure your sales funnel is always synchronized.
  • Campaign Lifecycle Management — Access and monitor your automated LinkedIn campaigns and retrieve detailed performance metadata directly from the AI interface.
  • Outreach & Message Intelligence — Send automated connection requests and direct messages via natural language to drive better engagement and conversion rates.
  • Analytics & Quota Oversight — Retrieve aggregated account statistics and monitor your available slots and limits using simple AI commands.
  • Operational Monitoring — Track system responses and manage webhook metadata to ensure your social selling workflows are always optimized.

The MagicDrip MCP Server exposes 12 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 12 MagicDrip tools available for Vercel AI SDK

When Vercel AI SDK connects to MagicDrip through Vinkius, your AI agent gets direct access to every tool listed below — spanning linkedin-automation, social-selling, outreach-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.

add_linkedin_lead

Add a new lead to a campaign

check_api_health

Verify The Magic Drip API status

get_account_outreach_stats

Get overall account performance

get_authenticated_user_profile

Get authenticated account info

get_available_slots_quota

Check account daily limits

get_campaign_performance

Retrieve campaign analytics

get_lead_outreach_details

Get details for a specific prospect

list_configured_webhooks

g., new reply). List active webhooks

list_outreach_campaigns

List LinkedIn automation campaigns

list_outreach_leads

List prospects from outreach campaigns

send_direct_linkedin_message

Send a direct LinkedIn message

send_linkedin_invite

Send a connection request

Connect MagicDrip to Vercel AI SDK via MCP

Follow these steps to wire MagicDrip into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

01

Install dependencies

Run npm install @ai-sdk/mcp ai @ai-sdk/openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the script

Save to agent.ts and run with npx tsx agent.ts
04

Explore tools

The SDK discovers 12 tools from MagicDrip and passes them to the LLM

Why Use Vercel AI SDK with the MagicDrip MCP Server

Vercel AI SDK provides unique advantages when paired with MagicDrip through the Model Context Protocol.

01

TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box

02

Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same MagicDrip integration everywhere

03

Built-in streaming UI primitives let you display MagicDrip tool results progressively in React, Svelte, or Vue components

04

Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency

MagicDrip + Vercel AI SDK Use Cases

Practical scenarios where Vercel AI SDK combined with the MagicDrip MCP Server delivers measurable value.

01

AI-powered web apps: build dashboards that query MagicDrip in real-time and stream results to the UI with zero loading states

02

API backends: create serverless endpoints that orchestrate MagicDrip tools and return structured JSON responses to any frontend

03

Chatbots with tool use: embed MagicDrip capabilities into conversational interfaces with streaming responses and tool call visibility

04

Internal tools: build admin panels where team members interact with MagicDrip through natural language queries

Example Prompts for MagicDrip in Vercel AI SDK

Ready-to-use prompts you can give your Vercel AI SDK agent to start working with MagicDrip immediately.

01

"List all active sales campaigns in MagicDrip."

02

"Show me the overall stats for my LinkedIn outreach."

03

"Add 'Sarah Chen' from 'sarah@acme.corp' as a new lead."

Troubleshooting MagicDrip MCP Server with Vercel AI SDK

Common issues when connecting MagicDrip to Vercel AI SDK through the Vinkius, and how to resolve them.

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

MagicDrip + Vercel AI SDK FAQ

Common questions about integrating MagicDrip MCP Server with Vercel AI SDK.

01

How does the Vercel AI SDK connect to MCP servers?

Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.
02

Can I use MCP tools in Edge Functions?

Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.
03

Does it support streaming tool results?

Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.