3,400+ MCP servers ready to use
Vinkius
M

Bring Shared Inbox
to Mastra AI

Learn how to connect Front to Mastra AI and start using 12 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.

Get Api StatusGet Contact InfoGet Conversation DetailsGet Message ContentList Active ChannelsList Conversation MessagesList ConversationsList Shared InboxesList Team ContactsReply To ConversationSearch Conversations By QueryUpdate Conversation Status

What is the 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.

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

How it works

1. Subscribe to this server
2. Retrieve your API Token from Front (Settings > Developers > API Tokens)
3. Start managing your unified inbox from Claude, Cursor, or any MCP client

No more manual toggling between different communication channels. Your AI acts as your dedicated support and communication coordinator.

Who is this for?

  • Support Teams — instantly triage high-volume inboxes and assign urgent conversations using natural language
  • Customer Success Managers — retrieve full interaction histories and update contact details without leaving your workspace
  • Operations Leads — monitor channel activity and manage team assignments across shared mailboxes

Built-in capabilities (12)

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

Why Mastra AI?

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.

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

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

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

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

M
See it in action

Front in Mastra AI

AI AgentVinkius
High Security·Kill Switch·Plug and Play
Why Vinkius

Front and 3,400+ other MCP servers. One platform. One governance layer.

Teams that connect Front to Mastra AI through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.

3,400+MCP Servers ready
<40msCold start
60%Token savings
Raw MCP
Vinkius
Server catalogFind and host yourself3,400+ managed
InfrastructureSelf-hostedSandboxed V8 isolates
Credential handlingPlaintext in configVault + runtime injection
Data loss preventionNoneConfigurable DLP policies
Kill switchNoneGlobal instant shutdown
Financial circuit breakersNonePer-server limits + alerts
Audit trailNoneEd25519 signed logs
SIEM log streamingNoneSplunk, Datadog, Webhook
HoneytokensNoneCanary alerts on leak
Custom domainsNot applicableDNS challenge verified
GDPR complianceManual effortAutomated purge + export
Enterprise Security

Why teams choose Vinkius for Front in Mastra AI

The Front 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. All 12 tools execute in hardened sandboxes optimized for native MCP execution.

Your AI agents in Mastra AI only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.

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

The Vinkius Advantage

How Vinkius secures Front for Mastra AI

Every tool call from Mastra AI to the Front MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.

< 40msCold start
Ed25519Signed audit chain
60%Token savings
FAQ

Frequently asked questions

01

How do I create an API Token in Front?

Log in to Front, go to Settings > Developers > API Tokens, and click Create Token. Ensure you select the appropriate scopes for your needs.

02

Can I search for conversations by status?

Yes! The list_conversations tool allows you to filter results by statuses like 'open', 'archived', 'deleted', or 'spam'.

03

How do I send a reply via AI?

Use the reply_to_conversation tool by providing the conversationId and your message body. You can also specify an author_id to send as a specific teammate.

04

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.

05

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.

06

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.

07

createMCPClient not exported

Install: npm install @mastra/mcp