Bring Portfolio Management
to OpenAI Agents SDK
Learn how to connect AdaptiveWork (Clarizen) to OpenAI Agents SDK and start using 6 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
What is the 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.
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
How it works
1. Subscribe to this server
2. Enter your AdaptiveWork API Key and Server URL
3. Start managing your enterprise projects through Claude, Cursor, or any MCP-compatible client
Who is this for?
- Project Managers — automate task creation and status reporting for large-scale initiatives
- PMO Leaders — audit portfolio health and resource utilization across departments
- Business Analysts — retrieve project data for financial reporting and performance analysis
- Team Leads — quickly update task progress and check team assignments without dashboard fatigue
Built-in capabilities (6)
You must provide a task name and its parent ID. Add a new granular task to a project or parent task structure in AdaptiveWork
Requires the Project ID. Retrieve detailed metadata and progress metrics for a specific AdaptiveWork project
Can filter by state or status in the tool response natively. Retrieve a list of active projects managed within the AdaptiveWork organization
Requires the Project ID. Retrieve the active task list associated with a specific project container ID
Retrieve the list of active organization users in AdaptiveWork to check resource assignments
Requires valid CZQL syntax. Execute advanced Clarizen Query Language (CZQL) commands for custom data retrieval
Why OpenAI Agents SDK?
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.
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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
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Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
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First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
AdaptiveWork (Clarizen) in OpenAI Agents SDK
AdaptiveWork (Clarizen) and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect AdaptiveWork (Clarizen) to OpenAI Agents SDK through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 3,400+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for AdaptiveWork (Clarizen) in OpenAI Agents SDK
The AdaptiveWork (Clarizen) 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. All 6 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in OpenAI Agents SDK only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.

* 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
How Vinkius secures
AdaptiveWork (Clarizen) for OpenAI Agents SDK
Every tool call from OpenAI Agents SDK to the AdaptiveWork (Clarizen) MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
How do I find my AdaptiveWork API Key?
Log in to AdaptiveWork, go to Settings > Extensions. You can generate or retrieve your API key from the API section. Make sure your user profile has 'API User' permissions enabled.
What is CZQL?
CZQL (Clarizen Query Language) is a SQL-like language used to query the AdaptiveWork database. It allows for complex filtering, sorting, and data retrieval across all your entities.
Can I manage multiple project locations?
Yes! Use the list_projects tool to view all projects across your entire organizational structure, regardless of their location or department.
How does the OpenAI Agents SDK connect to MCP?
Use 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?
Yes. Pass a list of 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?
Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.
MCPServerStreamableHttp not found
Ensure you have the latest version: pip install --upgrade openai-agents
Agent not calling tools
Make sure your prompt explicitly references the task the tools can help with.
