Hiver MCP Server for AutoGenGive AutoGen instant access to 12 tools to Create Shared Draft, Get Api Status, Get Conversation Details, and more
Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add Hiver as an MCP tool provider through Vinkius and every agent in the group can access live data and take action.
Ask AI about this App Connector for AutoGen
The Hiver app connector for AutoGen 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
import asyncio
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with McpWorkbench(
server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
transport="streamable_http",
) as workbench:
tools = await workbench.list_tools()
agent = AssistantAgent(
name="hiver_agent",
tools=tools,
system_message=(
"You help users with Hiver. "
"12 tools available."
),
)
print(f"Agent ready with {len(tools)} tools")
asyncio.run(main())
* 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.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Hiver tools. Connect 12 tools through Vinkius and assign role-based access. a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.
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 AutoGen 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 AutoGen
When AutoGen 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.
Draft team reply
Check connection
Read email thread
Get mailbox info
List shared threads
List team members
Get mailbox tags
List Hiver inboxes
Find tags
Find members
Verify credentials
Modify conversation
Connect Hiver to AutoGen via MCP
Follow these steps to wire Hiver into AutoGen. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install AutoGen
pip install "autogen-ext[mcp]"Replace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenIntegrate into workflow
Explore tools
Why Use AutoGen with the Hiver MCP Server
AutoGen provides unique advantages when paired with Hiver through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Hiver tools to solve complex tasks
Role-based architecture lets you assign Hiver tool access to specific agents. a data analyst queries while a reviewer validates
Human-in-the-loop support: agents can pause for human approval before executing sensitive Hiver tool calls
Code execution sandbox: AutoGen agents can write and run code that processes Hiver tool responses in an isolated environment
Hiver + AutoGen Use Cases
Practical scenarios where AutoGen combined with the Hiver MCP Server delivers measurable value.
Collaborative analysis: one agent queries Hiver while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from Hiver, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using Hiver data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process Hiver responses in a sandboxed execution environment
Example Prompts for Hiver in AutoGen
Ready-to-use prompts you can give your AutoGen 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 AutoGen
Common issues when connecting Hiver to AutoGen through the Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"Hiver + AutoGen FAQ
Common questions about integrating Hiver MCP Server with AutoGen.