AdaptiveWork (Clarizen) MCP Server for AutoGen 6 tools — connect in under 2 minutes
Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add AdaptiveWork (Clarizen) as an MCP tool provider through Vinkius and every agent in the group can access live data and take action.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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="adaptivework_clarizen_agent",
tools=tools,
system_message=(
"You help users with AdaptiveWork (Clarizen). "
"6 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 AdaptiveWork (Clarizen) MCP Server
Connect your AdaptiveWork (formerly Clarizen) account to your AI agent to unlock enterprise-grade project and portfolio management. From tracking high-level project health to creating granular tasks and managing resource availability, your agent handles complex workflows through natural conversation.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use AdaptiveWork (Clarizen) tools. Connect 6 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
- Project Portfolio Management — List and audit active projects, check health statuses, and retrieve executive summaries
- Task Orchestration — Create, assign, and update tasks across your project structure to ensure team alignment
- Resource Insights — List organization users and check assignments to optimize team capacity
- Advanced Querying (CZQL) — Run custom Clarizen Query Language commands to retrieve specific data subsets for reporting
- Portfolio Health — Quickly identify project bottlenecks or overdue milestones directly from your chat interface
The AdaptiveWork (Clarizen) MCP Server exposes 6 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.
How to Connect AdaptiveWork (Clarizen) to AutoGen via MCP
Follow these steps to integrate the AdaptiveWork (Clarizen) MCP Server with AutoGen.
Install AutoGen
Run pip install "autogen-ext[mcp]"
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Integrate into workflow
Use the agent in your AutoGen multi-agent orchestration
Explore tools
The workbench discovers 6 tools from AdaptiveWork (Clarizen) automatically
Why Use AutoGen with the AdaptiveWork (Clarizen) MCP Server
AutoGen provides unique advantages when paired with AdaptiveWork (Clarizen) through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use AdaptiveWork (Clarizen) tools to solve complex tasks
Role-based architecture lets you assign AdaptiveWork (Clarizen) 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 AdaptiveWork (Clarizen) tool calls
Code execution sandbox: AutoGen agents can write and run code that processes AdaptiveWork (Clarizen) tool responses in an isolated environment
AdaptiveWork (Clarizen) + AutoGen Use Cases
Practical scenarios where AutoGen combined with the AdaptiveWork (Clarizen) MCP Server delivers measurable value.
Collaborative analysis: one agent queries AdaptiveWork (Clarizen) while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from AdaptiveWork (Clarizen), a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using AdaptiveWork (Clarizen) data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process AdaptiveWork (Clarizen) responses in a sandboxed execution environment
AdaptiveWork (Clarizen) MCP Tools for AutoGen (6)
These 6 tools become available when you connect AdaptiveWork (Clarizen) to AutoGen via MCP:
create_task
You must provide a task name and its parent ID. Add a new granular task to a project or parent task structure in AdaptiveWork
get_project_details
Requires the Project ID. Retrieve detailed metadata and progress metrics for a specific AdaptiveWork project
list_projects
Can filter by state or status in the tool response natively. Retrieve a list of active projects managed within the AdaptiveWork organization
list_tasks
Requires the Project ID. Retrieve the active task list associated with a specific project container ID
list_users
Retrieve the list of active organization users in AdaptiveWork to check resource assignments
run_query
Requires valid CZQL syntax. Execute advanced Clarizen Query Language (CZQL) commands for custom data retrieval
Example Prompts for AdaptiveWork (Clarizen) in AutoGen
Ready-to-use prompts you can give your AutoGen agent to start working with AdaptiveWork (Clarizen) immediately.
"List all active projects with a 'Critical' health status."
"Create a new task named 'Review Budget' in 'Project Alpha'."
"Run a CZQL query to find all tasks assigned to 'John Doe'."
Troubleshooting AdaptiveWork (Clarizen) MCP Server with AutoGen
Common issues when connecting AdaptiveWork (Clarizen) to AutoGen through the Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"AdaptiveWork (Clarizen) + AutoGen FAQ
Common questions about integrating AdaptiveWork (Clarizen) MCP Server with AutoGen.
How does AutoGen connect to MCP servers?
Can different agents have different MCP tool access?
Does AutoGen support human approval for tool calls?
Connect AdaptiveWork (Clarizen) with your favorite client
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Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect AdaptiveWork (Clarizen) to AutoGen
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.