How to Use the Hive (Project Management) MCP in AutoGen

Q: Can multiple AutoGen agents collaborate on Hive (Project Management) tasks?

Yes, they can. One agent can query tasks using listactions, a second agent can analyze the blockers, and a third agent can execute createaction to assign follow-up tasks based on their collective decision.

Q: How do AutoGen agents handle task templates in Hive (Project Management)?

The agents use listtemplates to view your standard workflows. During their debate, they match the project requirements against these templates and use createaction to build compliant tasks.

Let AutoGen agents debate project priorities and execute tasks directly in Hive.

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Connect Hive (Project Management) MCP to AutoGen

Create your Vinkius account to connect Hive (Project Management) 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 Hive (Project Management) with AutoGen

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Let agents debate project status using this MCP Server

The `list_projects` tool provides the ground truth for your multi-agent conversations. A product manager agent and an engineering agent can analyze active projects, debate resource allocation, and align on priorities. They access the exact same project list, eliminating communication gaps between virtual team members. By combining this with `list_workspaces`, the agents understand the broader organizational context. They can negotiate which department owns a specific initiative, ensuring that tasks are assigned to the correct workspace without human intervention.

Resolve task conflicts with AutoGen

The `list_actions` tool allows your agents to audit current workloads. A quality assurance agent can flag bug reports while a developer agent defends their shipping schedule. They review the active action items together, negotiating deadlines and task ownership in real time before writing back updates. When the agents reach a consensus on a specific blocker, they use `get_action` to dig into the task details. This deep dive allows them to make informed decisions based on descriptions, assignees, and due dates rather than guessing.

Enforce standard workflows automatically

The `list_templates` tool lets your agent pool check for pre-approved task structures. When the debating agents agree that a new initiative must start, they retrieve the correct template to ensure compliance with your team's established processes. Once the template is selected, the coordinator agent executes `create_action` to instantiate the tasks. They can also apply tags retrieved from `list_labels` to make sure the newly created actions are immediately visible to the right human teams.

Setup guide

Set up Hive (Project Management) 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 Hive (Project Management) 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="Hive (Project Management)_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent Hive (Project Management) 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="Hive (Project Management)_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

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

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Hive. 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 Hive (Project Management) MCP in AutoGen

You register the MCP server tools with the AutoGen assistant agent. The agent adapter translates the schemas automatically, allowing your agents to call tools like `list_actions` during their group chats.

Yes, they can. One agent can query tasks using `list_actions`, a second agent can analyze the blockers, and a third agent can execute `create_action` to assign follow-up tasks based on their collective decision.

The agents use `list_templates` to view your standard workflows. During their debate, they match the project requirements against these templates and use `create_action` to build compliant tasks.

Yes, AutoGen connects to this MCP Server via both stdio and streamable HTTP transports, making it easy to run your agents locally or deploy them in a cloud environment.

Your template structures and project names are never stored by Vinkius. Every MCP call runs in a zero-trust, ephemeral V8 isolate that executes the request and immediately destroys the session data.

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