How to Use the Nozbe MCP in AutoGen

Q: How do I register Nozbe tools with an AutoGen assistant agent?

Install the package using pip install -U autogen-extmcp and call mcpservertools with your Vinkius HTTP URL. Pass the resulting tool list directly to your AssistantAgent constructor.

Let AutoGen agents debate project priorities and execute Nozbe task updates using this MCP Server.

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Connect Nozbe MCP to AutoGen

Create your Vinkius account to connect Nozbe 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 Nozbe with AutoGen

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Multi-agent debate over Nozbe task assignments

Let your AutoGen agents argue over who should do what in Nozbe. In AutoGen, a product manager agent can call `list_tasks` while a developer agent reviews capacity, debating the best Nozbe assignee before calling `update_task`. This consensus-driven AutoGen approach ensures Nozbe tasks are not just blindly created. The final execution on your Nozbe workspace only happens once all AutoGen agents agree on the parameters.

Automated project auditing with AutoGen

Set up a dedicated AutoGen QA agent that runs checks on your Nozbe workspace. The AutoGen agent uses `list_projects` and `get_project` to find stale Nozbe boards, then coordinates with a writer agent to clean them up. If a Nozbe project has no active tasks, the AutoGen agents can automatically call `create_task` to file a review item or use `delete_task` to purge abandoned drafts.

Resolve team bottlenecks using MCP Server tools

Let your AutoGen agents monitor Nozbe team workloads. An AutoGen analyzer agent calls `list_teams` and `get_team` to inspect Nozbe member lists, cross-referencing active tasks to find overloaded colleagues. The AutoGen agents then collaborate to reassign pending Nozbe items, executing `update_task` to balance the load across the team.

Setup guide

Set up Nozbe 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 Nozbe 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="Nozbe_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

Get your connection token →

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="Nozbe_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent Nozbe 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 Nozbe. 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 Nozbe MCP in AutoGen

Install the package using `pip install -U autogen-ext[mcp]` and call mcp_server_tools with your Vinkius HTTP URL. Pass the resulting tool list directly to your AssistantAgent constructor.

Yes, they can. One agent can draft the project goals, another can verify the team structure using `get_team`, and a third can execute `create_project`.

It allows a group of specialized agents to interact with your Nozbe workspace collectively. Instead of one AI making all decisions, agents can cross-check each other's inputs before calling `create_task` over this MCP connection.

Yes, AutoGen handles both stdio and Streamable HTTP transports. You can connect your agents to the Nozbe tools hosted on Vinkius using a simple MCP connection string.

All interactions with your Nozbe tasks, projects, comments, and team data are isolated. Vinkius processes these calls in temporary V8 sandboxes that do not persist data, securing your workspace information from leaks.

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