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Front MCP Server for Mastra AIGive Mastra AI instant access to 12 tools to Get Api Status, Get Contact Info, Get Conversation Details, and more

Built by Vinkius GDPR 12 Tools SDK

Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Front 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 Front app connector for Mastra AI is a standout in the Communication Messaging 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 { 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: {
      "front-alternative": {
        url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
      },
    },
  });

  const tools = await mcpClient.getTools();
  const agent = new Agent({
    name: "Front Agent",
    instructions:
      "You help users interact with Front " +
      "using 12 tools.",
    model: openai("gpt-4o"),
    tools,
  });

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

main();
Front
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 Front MCP Server

Connect your Front account to any AI agent and take full control of your team's customer communication and shared inbox workflows through natural conversation.

Mastra's agent abstraction provides a clean separation between LLM logic and Front tool infrastructure. Connect 12 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 Orchestration — List and manage customer conversations programmatically, including updating statuses (open, archived, spam) and assigning teammates
  • Message Intelligence — Retrieve complete message histories and metadata for any conversation to perform deep analysis and sentiment tracking
  • Omnichannel Support — Monitor multiple communication streams including Email, Chat, and SMS from a single unified AI interface
  • Team Collaboration — Manage team contacts and retrieve teammate profiles to coordinate internal routing and workload distribution
  • Operational Visibility — Get a comprehensive overview of shared inboxes and active channels using natural language commands

The Front MCP Server exposes 12 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 12 Front tools available for Mastra AI

When Mastra AI connects to Front through Vinkius, your AI agent gets direct access to every tool listed below — spanning shared-inbox, team-collaboration, email-management, 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.

get_api_status

Check connection

get_contact_info

Get contact details

get_conversation_details

Get conversation info

get_message_content

Read message details

list_active_channels

). List communication channels

list_conversation_messages

Get message history

list_conversations

List team conversations

list_shared_inboxes

List team inboxes

list_team_contacts

List your contacts

reply_to_conversation

Send a message

search_conversations_by_query

Find conversations

update_conversation_status

Modify conversation

Connect Front to Mastra AI via MCP

Follow these steps to wire Front 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 12 tools from Front via MCP

Why Use Mastra AI with the Front MCP Server

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

01

Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Front 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 Front 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

Front + Mastra AI Use Cases

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

01

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

02

SaaS integrations: embed Front 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 Front on a cron and store results in your database automatically

04

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

Example Prompts for Front in Mastra AI

Ready-to-use prompts you can give your Mastra AI agent to start working with Front immediately.

01

"List all open conversations in my shared inbox."

02

"Show me the message history for conversation 'cnv_123'."

03

"Reply to conversation 'cnv_123' saying 'I will check that for you right now'."

Troubleshooting Front MCP Server with Mastra AI

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

01

createMCPClient not exported

Install: npm install @mastra/mcp

Front + Mastra AI FAQ

Common questions about integrating Front 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.