AdaptiveWork (Clarizen) Connector for AI agents.
6 live capabilities
Manage enterprise project portfolios and resource capacity through conversation.
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Why people use AdaptiveWork (Clarizen)
AdaptiveWork (Clarizen) for Enterprise Project Management
This Connector changes that by bringing your project data directly into your chat. You can ask for a portfolio summary or check a project's progress in one sentence. You get the answers you need without ever opening the AdaptiveWork dashboard.
What Vinkius changes
You get a conversational interface for your entire AdaptiveWork project portfolio.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 5,900+ Connectors
- Real-world use case 01
Identifying project risks
A PM needs to know which projects are at risk.
- Real-world use case 02
Onboarding team members
Use create_task to add a 'Review Budget' task to a project and assign it to a specific person during a kickoff meeting.
- Real-world use case 03
Resource planning for new work
Use list_users and run_query to see who has the bandwidth to take on new work before assigning any new tasks.
Complete set · 6capabilities
The complete AdaptiveWork (Clarizen) capability set.
These are the exact actions your AI can choose when you ask it to work with AdaptiveWork (Clarizen).
01—03
3 capabilities in this set.
Part of 6 available through AdaptiveWork (Clarizen).
- 01 Capability
List projects
Pull a list of active projects within your organization, filtered by status. You can quickly see which projects are active or completed.
- 02 Capability
Get project details
Get detailed metadata and progress metrics for a specific project. This provides a snapshot of how a project is actually moving.
- 03 Capability
List tasks
Get the active task list for a specific project container. This helps you see what needs to be done without navigating deep into folders.
04—06
3 capabilities in this set.
Part of 6 available through AdaptiveWork (Clarizen).
- 04 Capability
Create task
Add a new granular task to a project or a parent task structure. You can create work items on the fly during a chat.
- 05 Capability
List users
Get the list of active organization users to check resource assignments. This helps you see who is already booked or available.
- 06 Capability
Run query
Execute custom Clarizen Query Language (CZQL) commands for specific data retrieval. This lets you pull exact data for custom reports.
Set up in minutes
One URL. Then ask AdaptiveWork (Clarizen) to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use AdaptiveWork (Clarizen) from the conversation.
Choose your client
Live previewAdvanced clients IDE · CLI
Claude · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_TeW7IQPO8SIFovBzrGn3Ua8sgdMlfkxQwTWae87b/mcp - Step 01
Open Connectors
In Claude Web or Claude Desktop, open Settings and choose Connectors.
- Step 02
Add the URL
Choose Add custom connector, name it AdaptiveWork (Clarizen), and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable AdaptiveWork (Clarizen) for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_TeW7IQPO8SIFovBzrGn3Ua8sgdMlfkxQwTWae87b/mcp - Step 01
Open MCP settings
On desktop, open Settings and MCP servers. On web, open your workspace app or connector settings.
- Step 02
Add the URL
Choose Add server with Streamable HTTP, or create a custom MCP app, then paste the AdaptiveWork (Clarizen) URL.
- Step 03
Save and start
Save the connection and enable AdaptiveWork (Clarizen) in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"adaptivework-clarizen": {
"url": "https://edge.vinkius.com/vk_preview_TeW7IQPO8SIFovBzrGn3Ua8sgdMlfkxQwTWae87b/mcp"
}
}
} - Step 01
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
- Step 02
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
- Step 03
Save the file
Cursor will automatically detect the new Connector
- Step 04
Start using AdaptiveWork (Clarizen)
Open Agent mode in chat and ask: "Using AdaptiveWork (Clarizen), help me...". 6 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"adaptivework-clarizen": {
"url": "https://edge.vinkius.com/vk_preview_TeW7IQPO8SIFovBzrGn3Ua8sgdMlfkxQwTWae87b/mcp"
}
}
} - Step 01
Create MCP config
Create a .vscode/mcp.json file in your project root
- Step 02
Add the server config
Paste the JSON configuration above
- Step 03
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
- Step 04
Start using AdaptiveWork (Clarizen)
Ask Copilot: "Using AdaptiveWork (Clarizen), help me...". 6 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"adaptivework-clarizen": {
"url": "https://edge.vinkius.com/vk_preview_TeW7IQPO8SIFovBzrGn3Ua8sgdMlfkxQwTWae87b/mcp"
}
}
} - Step 01
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
- Step 02
Add the server
Paste the JSON configuration above into mcp_config.json
- Step 03
Save and reload
Windsurf will detect the new server automatically
- Step 04
Start using AdaptiveWork (Clarizen)
Open Cascade and ask: "Using AdaptiveWork (Clarizen), help me...". 6 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"adaptivework-clarizen": {
"url": "https://edge.vinkius.com/vk_preview_TeW7IQPO8SIFovBzrGn3Ua8sgdMlfkxQwTWae87b/mcp"
}
}
} - Step 01
Open Cline MCP Settings
Click the Connectors icon in the Cline sidebar panel
- Step 02
Add remote server
Click "Add Connector" and paste the configuration above
- Step 03
Enable the server
Toggle the server switch to ON
- Step 04
Start using AdaptiveWork (Clarizen)
Ask Cline: "Using AdaptiveWork (Clarizen), help me...". 6 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add adaptivework-clarizen --transport http "https://edge.vinkius.com/vk_preview_TeW7IQPO8SIFovBzrGn3Ua8sgdMlfkxQwTWae87b/mcp" - Step 01
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
- Step 02
Add the Connector
Run the command above in your terminal
- Step 03
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
- Step 04
Start using AdaptiveWork (Clarizen)
Ask Claude: "Using AdaptiveWork (Clarizen), show me...". 6 tools are ready
Where the request belongs
Work AdaptiveWork can move forward.
This is for project leaders and PMO heads who are tired of dashboard fatigue and want to get answers about project health and resource allocation without manual digging.
Project Manager
Handles task creation and status updates for large-scale initiatives without leaving the chat.
PMO Leader
Audits portfolio health and resource utilization across multiple departments in seconds.
Business Analyst
Pulls specific project data for financial reporting using custom queries.
Team Lead
Checks team assignments and updates progress quickly to keep the team aligned.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
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Wrike
Collaborative project management to manage tasks, projects, and team workflows with AI.
Bring your own AI
Change the model, client or framework. Keep AdaptiveWork connected.
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Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
Windsurf -
ZCode -
Cline -
Zed -
Continue -
Kiro -
Roo Code -
Zencoder -
Goose -
Void -
Augment Code -
Amp -
Qodo -
Tabnine -
Pieces -
Sourcegraph Cody -
JetBrains -
Warp -
Amazon Q -
Antigravity -
BoltAI -
Raycast -
Jan -
LM Studio -
AnythingLLM -
Open WebUI -
Msty -
Cherry Studio -
LibreChat -
TypingMind -
Chorus -
5ire -
n8n -
LangChain -
LlamaIndex -
CrewAI -
Vercel AI SDK
Before you connect
Questions about AdaptiveWork.
The practical details behind the request, access and result.
Can the AdaptiveWork (Clarizen) MCP manage my project tasks?
Yes, you can use it to create, list, and update tasks within your project structure through your AI agent.
How does the AdaptiveWork (Clarizen) MCP help with resource planning?
It lets you list all organization users and check their current assignments to see who is available for new work.
Can I use the AdaptiveWork (Clarizen) MCP to run custom reports?
Yes, you can use it to execute custom CZQL commands to pull specific data subsets for your reporting needs.
Does the AdaptiveWork (Clarizen) MCP work for portfolio management?
It allows you to list active projects and retrieve executive summaries to monitor the health of your entire portfolio.
Is the AdaptiveWork (Clarizen) MCP good for finding project bottlenecks?
You can quickly identify overdue milestones and project health statuses without manually digging through dashboards.
Can I use the AdaptiveWork (Clarizen) MCP to get project metadata?
Yes, it can pull detailed progress metrics and metadata for any specific project ID you provide.
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 capability to view all projects across your entire organizational structure, regardless of their location or department.
One connection away
Give your agent a direct line to AdaptiveWork.
Connect AdaptiveWork once. Keep it beside 5,900+ managed Connectors when the next task needs more.
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