How to Use the AdaptiveWork (Clarizen) MCP in AutoGen

Debate project strategy in AutoGen by giving your agents access to your AdaptiveWork (Clarizen) workspace.

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Connect AdaptiveWork (Clarizen) MCP to AutoGen

Create your Vinkius account to connect AdaptiveWork (Clarizen) 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 AdaptiveWork (Clarizen) with AutoGen

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Perplexity

Resolve task conflicts in AutoGen

Set up a team of agents that challenge each other on project timelines. One agent calls `list_tasks` to identify delays, while another negotiates the schedule via `create_task`. This creates a consensus-driven approach to project management. The agents debate the feasibility of new tasks until they agree on a plan that fits the existing project constraints.

Manage resources via AutoGen

Use a specialized agent to check team capacity with `list_users` before assigning work. If the resource is unavailable, the agent flags the issue for human review. This prevents over-allocation. The agent logic ensures that every new task creation request is vetted against the current user list to maintain balanced workloads.

Analyze projects in AutoGen

Have your agents run `run_query` to pull deep insights from your project database. They compare current metrics against historical data to suggest improvements. This deliberative process happens entirely within the conversation. The agents review the CZQL output and debate the findings before presenting a final recommendation to you.

Setup guide

Set up AdaptiveWork (Clarizen) 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 AdaptiveWork (Clarizen) 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="AdaptiveWork (Clarizen)_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

    result = await agent.run("List recent AdaptiveWork (Clarizen) 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 AdaptiveWork. 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 AdaptiveWork (Clarizen) MCP in AutoGen

They use the MCP tools to fetch data and propose changes. The agents debate these proposals until they reach a consensus on the next step.

Yes, you share the tool list across your agent group. Each agent can call the tools independently to contribute its perspective to the discussion.

The McpToolAdapter converts the server schema into a format your agents understand. You just pass the tools to the constructor and start the conversation.

Agents use the tool outputs as evidence in their debate. They compare the data against their goals to negotiate the best project outcome.

Vinkius manages the secure connection to your project environment. Your user list and task details are restricted to the local agent conversation only.

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