AdaptiveWork (Clarizen) MCP Server
Enterprise project management — manage projects, tasks, resources, and portfolios via AI.
Ask AI about this MCP Server
Vinkius supports streamable HTTP and SSE.

* 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
What is the AdaptiveWork MCP Server?
The AdaptiveWork MCP Server gives AI agents like Claude, ChatGPT, and Cursor direct access to AdaptiveWork via 6 tools. Enterprise project management — manage projects, tasks, resources, and portfolios via AI. Powered by the Vinkius - no API keys, no infrastructure, connect in under 2 minutes.
Built-in capabilities (6)
Tools for your AI Agents to operate AdaptiveWork
Ask your AI agent "List all active projects with a 'Critical' health status." and get the answer without opening a single dashboard. With 6 tools connected to real AdaptiveWork data, your agents reason over live information, cross-reference it with other MCP servers, and deliver insights you would spend hours assembling manually.
Works with Claude, ChatGPT, Cursor, and any MCP-compatible client. Powered by the Vinkius - your credentials never touch the AI model, every request is auditable. Connect in under two minutes.
Why teams choose Vinkius
One subscription gives you access to thousands of MCP servers - and you can deploy your own to the Vinkius Edge. Your AI agents 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 and security, zero maintenance.
Build your own MCP Server with our secure development framework →Vinkius works with every AI agent you already use
…and any MCP-compatible client


















AdaptiveWork (Clarizen) MCP Server capabilities
6 toolsYou 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
What the AdaptiveWork (Clarizen) MCP Server unlocks
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
Frequently asked questions about the AdaptiveWork (Clarizen) MCP Server
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.
More in this category
You might also like
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.
Give your AI agents the power of AdaptiveWork MCP Server
Production-grade AdaptiveWork (Clarizen) MCP Server. Verified, monitored, and maintained by Vinkius. Ready for your AI agents — connect and start using immediately.






