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Gmelius MCP Server for Mastra AIGive Mastra AI instant access to 9 tools to Check Gmelius Status, Create Gmelius Card, Get Gmelius Board, and more

Built by Vinkius GDPR 9 Tools SDK

Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Gmelius through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.

Ask AI about this App Connector for Mastra AI

The Gmelius app connector for Mastra AI 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 { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";

async function main() {
  // Your Vinkius token. get it at cloud.vinkius.com
  const mcpClient = await createMCPClient({
    servers: {
      "gmelius": {
        url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
      },
    },
  });

  const tools = await mcpClient.getTools();
  const agent = new Agent({
    name: "Gmelius Agent",
    instructions:
      "You help users interact with Gmelius " +
      "using 9 tools.",
    model: openai("gpt-4o"),
    tools,
  });

  const result = await agent.generate(
    "What can I do with Gmelius?"
  );
  console.log(result.text);
}

main();
Gmelius
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 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.

Mastra's agent abstraction provides a clean separation between LLM logic and Gmelius tool infrastructure. Connect 9 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.

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 Mastra AI 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 Mastra AI

When Mastra AI 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 Mastra AI via MCP

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

01

Install dependencies

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

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

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

Explore tools

Mastra discovers 9 tools from Gmelius via MCP

Why Use Mastra AI with the Gmelius MCP Server

Mastra AI provides unique advantages when paired with Gmelius through the Model Context Protocol.

01

Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Gmelius without touching business code

02

Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation

03

TypeScript-native: full type inference for every Gmelius tool response with IDE autocomplete and compile-time checks

04

One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure

Gmelius + Mastra AI Use Cases

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

01

Automated workflows: build multi-step agents that query Gmelius, process results, and trigger downstream actions in a typed pipeline

02

SaaS integrations: embed Gmelius as a first-class tool in your product's AI features with Mastra's clean agent API

03

Background jobs: schedule Mastra agents to query Gmelius on a cron and store results in your database automatically

04

Multi-agent systems: create specialist agents that collaborate using Gmelius tools alongside other MCP servers

Example Prompts for Gmelius in Mastra AI

Ready-to-use prompts you can give your Mastra AI 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 Mastra AI

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

01

createMCPClient not exported

Install: npm install @mastra/mcp

Gmelius + Mastra AI FAQ

Common questions about integrating Gmelius MCP Server with Mastra AI.

01

How does Mastra AI connect to MCP servers?

Create an MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.
02

Can Mastra agents use tools from multiple servers?

Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.
03

Does Mastra support workflow orchestration?

Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.