PRO Annual — 50 users, $106.80/year
When you connect AdaptiveWork, your AI agents can handle complex enterprise workflows right inside GitScrum. Instead of manually jumping through dashboards, Claude uses the MCP to audit your full project portfolio and instantly flag bottlenecks or overdue milestones.
Claude
ChatGPT
Cursor
Gemini
Windsurf
VS Code
JetBrains
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task.delegate()
Start by telling Claude, 'Show me all active client initiatives that are currently overdue or nearing a milestone deadline.' This directs the task to your AI agent.
Claude invokes the `list_projects` and `run_query` tools via the MCP. It then filters, analyzes, and summarizes the complex portfolio data into plain English.
You review a consolidated summary of project health statuses directly within GitScrum, with immediate action items assigned to relevant team members.
task.create()
Copy. Paste into a Claude-aware GitScrum task. Done.
The PMO needs a weekly snapshot showing which projects are at risk or require executive attention.
Claude, run an analysis on all active client initiatives in AdaptiveWork. Use the MCP to list every project and then check its current health metrics. Present the output as a bulleted list categorized by 'Green,' 'Yellow,' or 'Red' status, and recommend immediate next steps for each category.
A major milestone was missed in a key initiative, and multiple smaller actions need to be assigned immediately.
Based on the current status of Project Alpha (ID: 1234), use the AdaptiveWork MCP to create three new follow-up tasks. These tasks must cover resource reassignment, risk mitigation planning, and a formal stakeholder review meeting. Assign them to the respective team leads.
It's time for sprint capacity planning, but I don't know who is overbooked on the next quarter.
Using the AdaptiveWork MCP, list all current organization users and check their assigned project workloads. Identify any user who has more than 80% utilization based on currently assigned tasks. Report these resource constraints so I can adjust assignments in GitScrum.
Managing a large project portfolio is inherently messy. You spend hours dashboard-hopping, manually compiling status reports by copying bullet points from emails and linking them to Jira or other systems. This process isn't just slow; it guarantees that critical risks get lost in the noise of fragmented data.
The new flow changes everything. Instead of manual reporting, Claude reads the raw project health data through this MCP and writes a clean, summarized status update directly into GitScrum. You stop managing dashboards and start making decisions.
Open this workflow in GitScrum →When it comes to resource planning, the manual work is brutal. You have spreadsheets that claim a person is available, but you can't verify if they are actually assigned conflicting tasks in another system. This gap leads to over-allocation, burnout, and missed sprint goals.
Claude solves this by running live audits through the MCP. It connects your project data directly to team assignments, providing an accurate capacity report right where you build your sprints. You'll never guess a resource bottleneck again.
claude.ask()
Claude, what are the top three critical bottlenecks across our entire portfolio? Use the AdaptiveWork MCP to query data and summarize the biggest risks I need to address today.
I have a list of project IDs. Can you use the AdaptiveWork MCP to fetch the detailed metadata for each one, so I can compare their progress against initial goals?
Please run an advanced query using CZQL (via the MCP) to pull out all projects managed by Department X that haven't logged any activity in the last 30 days. Flag them immediately.
Our team needs a full breakdown of resource assignments. Use the AdaptiveWork MCP to list every user and their current task load so we can plan our next sprint.
tools.list()
Each tool is one operation Claude runs on your behalf.
| tool_name | operation |
|---|---|
| list_tasks | Claude can retrieve a list of active, granular tasks associated with a specific project container ID when you provide the Project ID. |
| list_projects | This tool allows Claude to pull a comprehensive list of all currently active projects managed within your AdaptiveWork organization. |
| get_project_details | The AI agent can retrieve detailed metadata and key progress metrics for one specific AdaptiveWork project, requiring only the Project ID. |
| create_task | Claude adds a new granular task to your project structure; you must provide both the task name and its parent container ID. |
| list_users | This tool helps Claude gather a list of all active organization users in AdaptiveWork so you can check their assignments for resource planning. |
| run_query | Claude executes advanced Clarizen Query Language (CZQL) commands, enabling custom data retrieval sets that go beyond standard reporting. |
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