AdaptiveWork (Clarizen) MCP Server for OpenAI Agents SDK 6 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect AdaptiveWork (Clarizen) through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="AdaptiveWork (Clarizen) Assistant",
instructions=(
"You help users interact with AdaptiveWork (Clarizen). "
"You have access to 6 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from AdaptiveWork (Clarizen)"
)
print(result.final_output)
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.
The OpenAI Agents SDK auto-discovers all 6 tools from AdaptiveWork (Clarizen) through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries AdaptiveWork (Clarizen), another analyzes results, and a third generates reports, all orchestrated through Vinkius.
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 OpenAI Agents SDK 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 OpenAI Agents SDK via MCP
Follow these steps to integrate the AdaptiveWork (Clarizen) MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 6 tools from AdaptiveWork (Clarizen)
Why Use OpenAI Agents SDK with the AdaptiveWork (Clarizen) MCP Server
OpenAI Agents SDK provides unique advantages when paired with AdaptiveWork (Clarizen) through the Model Context Protocol.
Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
AdaptiveWork (Clarizen) + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the AdaptiveWork (Clarizen) MCP Server delivers measurable value.
Automated workflows: build agents that query AdaptiveWork (Clarizen), process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries AdaptiveWork (Clarizen), another analyzes results, a third generates reports
Data enrichment pipelines: stream data through AdaptiveWork (Clarizen) tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query AdaptiveWork (Clarizen) to resolve tickets, look up records, and update statuses without human intervention
AdaptiveWork (Clarizen) MCP Tools for OpenAI Agents SDK (6)
These 6 tools become available when you connect AdaptiveWork (Clarizen) to OpenAI Agents SDK 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 OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK 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 OpenAI Agents SDK
Common issues when connecting AdaptiveWork (Clarizen) to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
AdaptiveWork (Clarizen) + OpenAI Agents SDK FAQ
Common questions about integrating AdaptiveWork (Clarizen) MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
Connect AdaptiveWork (Clarizen) with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
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 OpenAI Agents SDK
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.