How do I get an API Token for Front?

Log in to your Front account, click the gear icon (Settings), go to 'Developers' > 'API Tokens', and create a new token with 'Shared Resources' scope.

Can I search for specific types of conversations?

Yes, use the 'search_conversations' tool. It accepts standard Front search syntax, such as 'is:open' or 'inbox:support'.

Is it possible to reply to an email via the agent?

Yes! Use the 'send_inbox_reply' tool. You must provide the Conversation ID, the message body, and the Teammate ID of the sender.

How do I archive a conversation?

Use the 'update_conversation_status' tool and set the status parameter to 'archived'. This updates the global status for the shared inbox.

Front MCP Server for OpenAI Agents SDK 12 tools — connect in under 2 minutes

Name: Front
Availability: InStock
Author: Vinkius

openai.github.io/openai-agents-python/mcp

Built by Vinkius GDPR 12 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Front through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="Front Assistant",
            instructions=(
                "You help users interact with Front. "
                "You have access to 12 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Front"
        )
        print(result.final_output)

asyncio.run(main())

Fully ManagedVinkius Servers

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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 to automate your customer communication and shared inbox workflows through the Model Context Protocol (MCP). Front is a customer operations platform that enables teams to manage shared emails, SMS, and chats collaboratively. This MCP server enables you to track active conversations, assign messages, and fetch thread histories directly through natural conversation.

The OpenAI Agents SDK auto-discovers all 12 tools from Front through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Front, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

Key Features

Shared Inbox Management — List all accessible shared inboxes and retrieve the specific conversations routed to them.
Conversation Tracking — Search and list all customer conversations, checking their current status (open, archived) and assigned owners.
Message Threading — Fetch the complete message history for any specific conversation to maintain context before replying.
Collaborative Replies — Draft and send replies to active conversations directly from your chat interface on behalf of a teammate.
Status Automation — Programmatically update conversation statuses (e.g., archiving resolved issues) to keep inboxes clean.
Team & Contact Discovery — List all workspace teammates and customer contacts to ensure accurate routing and messaging.

The Front MCP Server exposes 12 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Front to OpenAI Agents SDK via MCP

Follow these steps to integrate the Front MCP Server with OpenAI Agents SDK.

Install the SDK

Run pip install openai-agents in your Python environment

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Run the script

Save the code above and run it: python agent.py

Explore tools

The agent will automatically discover 12 tools from Front

Why Use OpenAI Agents SDK with the Front MCP Server

OpenAI Agents SDK provides unique advantages when paired with Front through the Model Context Protocol.

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

Front + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Front MCP Server delivers measurable value.

Automated workflows: build agents that query Front, process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents. one queries Front, another analyzes results, a third generates reports

Data enrichment pipelines: stream data through Front tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query Front to resolve tickets, look up records, and update statuses without human intervention

Front MCP Tools for OpenAI Agents SDK (12)

These 12 tools become available when you connect Front to OpenAI Agents SDK via MCP:

get_conversation_details

Get conversation metadata

get_inbox_details

Get inbox metadata

list_address_book

List contacts

list_all_conversations

List all conversations

list_conversation_messages

List thread messages

list_inbox_teammates

List Front teammates

list_inbox_threads

List inbox conversations

list_shared_inboxes

List shared inboxes

search_conversations

g. "inbox:inb_123 is:open"). Search all conversations

send_inbox_reply

Send a reply

update_conversation_status

g., archived, open) or assignee of a conversation. Update conversation

verify_api_status

Verify connection

Example Prompts for Front in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Front immediately.

"List all shared inboxes in my Front account."

"Search for open conversations in the Support inbox."

"Archive conversation 'cnv_987'."

Troubleshooting Front MCP Server with OpenAI Agents SDK

Common issues when connecting Front to OpenAI Agents SDK through the Vinkius, and how to resolve them.

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Front + OpenAI Agents SDK FAQ

Common questions about integrating Front MCP Server with OpenAI Agents SDK.

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.