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Gmelius MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 9 tools to Check Gmelius Status, Create Gmelius Card, Get Gmelius Board, and more

Built by Vinkius GDPR 9 Tools SDK

The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Gmelius through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.

Use with Your AI Agent

Ask AI about this App Connector for Vercel AI SDK

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The Gmelius app connector for Vercel AI SDK is a standout in the Productivity category — giving your AI agent 9 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 Gmelius, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
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* 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 Gmelius MCP Server

Connect your Gmelius account to any AI agent and take full control of your team's collaborative workspace and high-fidelity shared inbox orchestration through natural conversation.

The Vercel AI SDK gives every Gmelius tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 9 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

  • Conversation Portfolio Orchestration — List all collaborative email threads, retrieve detailed high-fidelity history, and monitor ticket status programmatically
  • Kanban Pipeline Intelligence — Query team project boards, retrieve detailed technical metadata, and stay on top of workflow progress in real-time
  • Card & Task Orchestration — Programmatically generate new task cards or email items on specific boards directly through your agent for perfectly coordinated delivery
  • Sequence Monitoring — Access configured automated high-fidelity email sequences and monitor their status directly through your agent for outreach optimization
  • Template Discovery — Access your complete directory of high-fidelity shared email templates and inboxes to choose the right context for every interaction
  • Operational Monitoring — Verify account-level API connectivity and monitor collaborative volume directly through your agent for perfectly coordinated service scaling

The Gmelius MCP Server exposes 9 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 9 Gmelius tools available for Vercel AI SDK

When Vercel AI SDK connects to Gmelius through Vinkius, your AI agent gets direct access to every tool listed below — spanning shared-inbox, email-delegation, kanban-boards, 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.

check_gmelius_status

Check API Status

create_gmelius_card

Add a new card to a board

get_gmelius_board

Get details for a specific board

get_gmelius_conversation

Get details for a specific conversation

list_gmelius_board_cards

List cards on a Kanban board

list_gmelius_boards

List collaborative Kanban boards

list_gmelius_conversations

List Gmelius shared conversations

list_gmelius_sequences

List email sequences

list_gmelius_templates

List shared email templates

Connect Gmelius to Vercel AI SDK via MCP

Follow these steps to wire Gmelius 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 9 tools from Gmelius and passes them to the LLM

Why Use Vercel AI SDK with the Gmelius MCP Server

Vercel AI SDK provides unique advantages when paired with Gmelius 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 Gmelius integration everywhere

03

Built-in streaming UI primitives let you display Gmelius 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

Gmelius + Vercel AI SDK Use Cases

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

01

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

02

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

03

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

04

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

Example Prompts for Gmelius in Vercel AI SDK

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

01

"List all active Kanban boards and show their status."

02

"Show the last 5 conversations assigned to me."

03

"Check the available email templates for the 'Sales' team."

Troubleshooting Gmelius MCP Server with Vercel AI SDK

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

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Gmelius + Vercel AI SDK FAQ

Common questions about integrating Gmelius 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.