How to Use the Hiver MCP in AutoGen

Q: How do I expose Hiver tools to AutoGen?

Install autogen-extmcp. Pass your server URL to the HTTP server parameters and feed the resulting tools list into your assistant agent constructor.

Q: Does AutoGen know if the API goes down?

You can instruct a monitor agent to periodically call getapistatus. If the connection drops, it alerts the swarm to pause operations and notify an administrator.

Q: How do agents handle missing Hiver tags in AutoGen?

They search first. An agent will run searchtagsbyname to find the closest match. If they fail, they debate whether to escalate the ticket or leave it untagged.

Deploy debating AutoGen agents to triage, categorize, and draft responses for your Hiver shared inboxes.

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Connect Hiver MCP to AutoGen

Create your Vinkius account to connect Hiver to AutoGen and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Hiver with AutoGen

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Perplexity

Multi-agent consensus for triage

Complex support tickets rarely have obvious answers. You deploy multiple agents that argue over how to handle a thread. A security agent and a support agent both read the output of `get_conversation_details`. They debate the risk level of the customer's request. Once they reach an agreement, the system takes action. A third agent executes `update_thread_status` to assign the ticket to the correct human. You get highly accurate routing because the decision survived a rigorous internal challenge.

Collaborative drafting via MCP Server

Writing a technical response often requires input from different specialists. One AutoGen agent pulls the customer history using `list_inbox_conversations`. Another agent fact-checks the proposed technical fix. They iterate on the text until the formatting and tone are perfect. Finally, the designated writer agent calls `create_shared_draft` to place the finished text into the Gmail thread. The human reviewer sees a polished, debated response waiting for approval.

Map the inbox environment automatically

Your agents need to understand the workspace before they touch anything. A setup agent runs `list_shared_inboxes` and `get_inbox_details` to map out the available queues. It feeds this structural data to the rest of the swarm. Knowing the tags is just as critical. The system calls `list_inbox_tags` and `search_tags_by_name` to understand the current labeling conventions. When the agents finally categorize a ticket, they use the exact terminology your company already established.

Setup guide

Set up Hiver MCP in AutoGen

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] package
Active Vinkius subscription with a valid endpoint token

1

Install AutoGen with MCP
Run pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includes mcp_server_tools for stateless tool access.
2

Fetch tools from the MCP
Call mcp_server_tools(SseServerParams(url=...)) with your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Run your agent
Pass the tools to AssistantAgent and call agent.run(). The agent invokes Hiver tools and returns structured results.

agent.py

from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

tools = await mcp_server_tools(server_params)

agent = AssistantAgent(
    name="Hiver_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent Hiver data")
print(result.messages[-1].content)

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Prerequisites

Python 3.10+ installed
autogen-ext[mcp] + autogen-agentchat
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Same packages as above. McpWorkbench is ideal when your agent needs stateful sessions across multiple tool calls.
2

Use McpWorkbench as context manager
Wrap your agent in async with McpWorkbench(...) to maintain shared state and resources. The workbench manages the full MCP session lifecycle.
3

Run with workbench
Pass workbench=workbench to your agent. State is preserved across multiple tool calls within the same session.

agent.py

from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

async with McpWorkbench(server_params) as workbench:
    agent = AssistantAgent(
        name="Hiver_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent Hiver data")
    print(result.messages[-1].content)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Hiver. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Hiver MCP in AutoGen

Install `autogen-ext[mcp]`. Pass your server URL to the HTTP server parameters and feed the resulting tools list into your assistant agent constructor.

They share the same tool registry. The MCP adapter automatically converts the schema so any agent in the conversation can call `search_team_members` or check thread status.

You can instruct a monitor agent to periodically call `get_api_status`. If the connection drops, it alerts the swarm to pause operations and notify an administrator.

They search first. An agent will run `search_tags_by_name` to find the closest match. If they fail, they debate whether to escalate the ticket or leave it untagged.

Completely. Customer email contents and internal drafts stay locked within the isolated V8 sandbox. Vinkius requires zero inbound firewall rules, meaning the data only flows securely to your designated agents.

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