How do I find an inbox ID?

Use the `list_shared_inboxes` tool to retrieve all shared mailboxes you have access to, along with their unique identifiers and names.

Can I assign a conversation to a specific teammate?

Yes! Use the `update_thread_status` tool and provide the `assignee_id`. You can find valid user IDs using the `list_inbox_members` tool.

Does Hiver support collaborative drafting through AI?

Yes, the `create_shared_draft` tool allows your AI agent to write directly into a Gmail thread, which your team can then review and send from the Hiver interface.

INSTANT PLUG AND PLAY

Hiver MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 12 tools to Create Shared Draft, Get Api Status, Get Conversation Details, and more

Name: Hiver
Availability: InStock
Author: Vinkius

Built by Vinkius GDPR 12 Tools SDK

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

Use with Your AI Agent

Ask AI about this App Connector for OpenAI Agents SDK

Open in ChatGPT Open in Claude Open in Perplexity

The Hiver app connector for OpenAI Agents SDK 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

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

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

asyncio.run(main())

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 Hiver MCP Server

Connect your Hiver account to any AI agent and transform your Gmail-based customer support into an intelligent, automated operation through natural conversation.

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

What you can do

Shared Inbox Management — List all shared mailboxes and retrieve detailed metadata for active email conversations
Workflow Automation — Programmatically update conversation statuses (open, pending, closed) and manage assignments across your team
Collaborative Drafting — Create shared drafts within Gmail threads directly through your agent to orchestrate perfect replies
Tagging & Organization — Search and apply tags to categorize threads and maintain a high-fidelity collaboration ecosystem
Team Visibility — List and search for inbox members to understand who is available and manage workload distribution

The Hiver 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.

All 12 Hiver tools available for OpenAI Agents SDK

When OpenAI Agents SDK connects to Hiver through Vinkius, your AI agent gets direct access to every tool listed below — spanning shared-inbox, gmail-integration, 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.

create_shared_draft

Draft team reply

get_api_status

Check connection

get_conversation_details

Read email thread

get_inbox_details

Get mailbox info

list_inbox_conversations

List shared threads

list_inbox_members

List team members

list_inbox_tags

Get mailbox tags

list_shared_inboxes

List Hiver inboxes

search_tags_by_name

Find tags

search_team_members

Find members

test_hiver_auth

Verify credentials

update_thread_status

Modify conversation

Connect Hiver to OpenAI Agents SDK via MCP

Follow these steps to wire Hiver into OpenAI Agents SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

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 Hiver

Why Use OpenAI Agents SDK with the Hiver MCP Server

OpenAI Agents SDK provides unique advantages when paired with Hiver 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

Hiver + OpenAI Agents SDK Use Cases

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

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

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

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

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

Example Prompts for Hiver in OpenAI Agents SDK

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

"List all shared inboxes in my Hiver account."

"Show me the last 5 open conversations in the 'Support' inbox."

"Assign conversation 'thread-123' to user 'user-456' and add the tag 'priority'."

Troubleshooting Hiver MCP Server with OpenAI Agents SDK

Common issues when connecting Hiver 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.

Hiver + OpenAI Agents SDK FAQ

Common questions about integrating Hiver 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.

Can I use multiple MCP servers in one agent?

Yes. Pass a list of MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.

Does the SDK support streaming responses?

Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.